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Hotel Meeting Space Floor Plan
IEEE International Conference on Data Mining
November 18 – 21, 2017
New Orleans, Louisiana USA
Wi-Fi Information
SSID: Roosevelt Conference
Passphrase: event2017
Nearby Restaurants
Domenica
123 Baronne St, New Orleans, LA 70112
(504) 648-6020
(inside the hotel)
The Company Burger
611 O'Keefe Ave C7, New Orleans, LA 70113
(504) 309-9422
.5 mile from hotel
10 minute walk
Lüke
333 St Charles Ave, New Orleans, LA 70130
(504) 378-2840
.4 mile from hotel
10 minute walk
Willa Jean
611 O'Keefe Ave, New Orleans, LA 70113
(504) 509-7334
.5 mile from hotel
10 minute walk
Reuben’s Soup & Sandwich Co.
920 Gravier St, New Orleans, LA 70112
(504) 373-6687
.2 mile from hotel
3 minute walk
Red Fish Grill
115 Bourbon St, New Orleans, LA 70130
(504) 598-1200
.3 mile from hotel
5 minute walk
The Store
814 Gravier St, New Orleans, LA 70112
(504) 322-2446
.3 mile from hotel
5 minute walk
Bourbon House
144 Bourbon St, New Orleans, LA 70130
(504) 522-0111
.3 mile from hotel
5 minute walk
Social Event Information
Date: Monday, November 20, 2017
Time: 3:00 pm
Location: Meet in Waldorf Astoria Ballroom
o All non-student registrations include admissions to the banquet and the social
event.
o Social event will take place on Monday, November 20, 2017 from 3:00 pm – 6:00
pm
o Meet in the Waldorf Astoria Ballroom at 3:00 pm. There are three tour options.
First come, first serve. First choice is not guaranteed.
Tour Options:
1. Mardi Gras World Tour (1 hour)
You’ll get an overview of the history of Mardi Gras in New Orleans before guides take
you through the float den, where artists work year-round to build spectacular floats and
props.
2. Garden District Tour (1.5 hour)
Tour this historic American sector of New Orleans with its antebellum mansions and
stately gardens, and revisit the golden age of New Orleans. Originally conceived as the
American sector after the Louisiana Purchase, the Garden District was intended to rival
the exclusive Creole elegance of Esplanade Avenue, where the newly arrived Americans
were not welcome to reside among the city’s French-speaking natives
3. French Quarter Tour (1.5 hour)
The French Quarter. The original city. Full of charm, wonder, and history. This is the tour
for those wishing to know how New Orleans came to be, who created this place and gave
it its unique character, and why the city remains so distinctive today.
SATURDAY, NOVEMBER 18, 2017
TIME FULL DAY WORKSHOPS ROOM LEVEL
8:00am –
6:00pm
DSBDA - Data Science and Big Data
Analytics Salon II Mezzanine
DaMNet - Data Mining in Networks Chamber I Mayor’s
Suite
DSHCM - Data Science for Human Capital
Management
Chamber
IV
Mayor’s
Suite
SSTDM - Spatial and Spatiotemporal Data
Mining Salon V Mezzanine
DMESS - Data Mining in Earth System
Science Pontalba Mezzanine
SENTIRE - Sentiment Elicitation from Natural
Text for Information Retrieval and Extraction Salon III Mezzanine
DMBIH - Data Mining in Biomedical
Informatics and Healthcare Salon IV Mezzanine
HDM - High Dimensional Data Mining Chamber II Mayor’s
Suite
MoDat - Market of Data: Creating tools, data,
and sensors from the Social Intelligence Lafitte Mezzanine
DMS - Data Mining for Service Bienville Mezzanine
PhD Forum Chamber
III
Mayor’s
Suite
10:00am
–
10:15am
Coffee Break
11:45am
– 1pm Lunch
3pm –
3:15pm Coffee Break
SATURDAY, NOVEMBER 18, 2017
TIME HALF DAY WORKSHOPS ROOM LEVEL
8:00am
–
11:45am
Data Mining in Politics Napoleon Mezzanine
Big Data and Data Science in Retail Conti Mezzanine
ISI - ICDM International Workshop on
Intelligence and Security Informatics Saenger
Second
Level
ARIAL - Data mining for Aging,
Rehabilitation and Assisted Living Producers
Second
Level
D3M - Data-driven Discovery of Models Directors Second
Level
DMCIS - Data Mining for Cyber-physical
and Industrial Systems Prytania
Second
Level
Automation in Machine Learning Data
Mining on a Budget Orpheum
Second
Level
1:00pm
–
6:00pm
Privacy and Anonymity in the Information
Society Napoleon Mezzanine
Data Science for Human Performance in
Social Networks Saenger
Second
Level
DAPS: 2nd International Workshop on Data
Mining for the Analysis of Performance and
Success
Producers Second
Level
High Performance Graph Data Mining and
Machine Learning Directors
Second
Level
The Workshop on Optimization Based
Techniques for Emerging Data Mining
Problems
Prytania Second
Level
DMCS - Data Mining for Cyber Security Orpheum Second
Level
SERecSys - Semantics-Enabled
Recommender Systems Conti Mezzanine
SUNDAY, NOVEMBER 19, 2017
TIME SESSION ROOM LEVEL
9:00am
–
9:30am
Opening Remarks Crescent
City Mezzanine
9:30am
–
10:30am
Keynote: Leslie Valiant Crescent
City Mezzanine
10:30am
–
11:00am
Coffee Break
11:00am
–
12:40pm
Session 1:
Pattern Mining and Structure Learning Salon II Mezzanine
Session 2:
Scalable Algorithms and High Performance
Computing
Salon III Mezzanine
Session 3:
Text Mining Salon IV Mezzanine
Session 4:
Theory Salon V Mezzanine
SUNDAY, NOVEMBER 19, 2017
TIME SESSION ROOM LEVEL
12:40pm
–
2:00pm
LUNCH ON OWN
2:00pm
–
3:30pm
Session 5: Recommender Systems I Salon II Mezzanine
Session 6: Geospatial/Mobility Data Salon III Mezzanine
Session 7: Sequences and Time series I Salon IV Mezzanine
Session 8: Risk Minimization and Adaptive
Learning Salon V Mezzanine
Demo Sessions Conti Mezzanine
3:30pm
–
4:00pm
Coffee Break
4:00pm
–
6:30pm
Session 9: Deep Learning Salon II Mezzanine
Session 10: Biology and Medicine Salon III Mezzanine
Session 11: Streaming and Online learning Salon IV Mezzanine
Tutorial 1: Mining Cohorts & Patient Data Salon V Mezzanine
7:00pm Welcome Reception
Waldorf
Astoria
Ballroom
Mezzanine
MONDAY, NOVEMBER 20, 2017
TIME SESSION ROOM LEVEL
9:00am
–
10:00am
Keynote: Aidong Zhang
Crescent
City
Ballroom
Mezzanine
10:00am
–
10:30am
Coffee Break
10:30am
–
1:00pm
Session 12: Clustering Salon II Mezzanine
Session 13: Graph Analytics Salon III Mezzanine
Session 14: Learning Methods Salon IV Mezzanine
Tutorial 2: Challenges and Solutions in
Group Recommender Systems Salon V Mezzanine
1:00pm
–
2:00pm
LUNCH ON OWN
2:00pm
–
3:00pm
Special Papers Session
Crescent
City
Ballroom
Mezzanine
3:00pm
–
6:00pm
Social Event Departures
Waldorf
Astoria
Ballroom
Mezzanine
6:30pm Conference Banquet
Crescent
City
Ballroom
Mezzanine
TUESDAY, NOVEMBER 21, 2017
TIME SESSION ROOM LEVEL
9:00am
–
10:00am
Keynote: Michael Franklin
Crescent
City
Ballroom
Mezzanine
10:00am
–
10:30am
Coffee Break
10:30am
–
12:30pm
Session 15: Network Science Salon II Mezzanine
Session 16: Feature Selection and
Extraction Salon III Mezzanine
Session 17: Recommender Systems II Salon IV Mezzanine
Tutorial 3: Mining Misinformation in
Social Media Salon V Mezzanine
12:30pm
–
2:00pm
ICDM Community Meeting (Lunch
Provided)
Crescent
City
Ballroom
Mezzanine
2:00pm
–
3:30pm
Session 18: Social Networks Salon II Mezzanine
Session 19: Multi-view and Multimodal
Learning Salon III Mezzanine
Session 20: Event Mining and Anomaly
Detection Salon IV Mezzanine
Session 21: Sequences and Time Series II Salon V Mezzanine
3:30pm
–
4:00pm
Coffee Break
4:00pm
–
5:00pm
Conference Panel Session
Crescent
City
Ballroom
Mezzanine
ICDM 2017, Nov. 18 - 21, 2017
Preliminary Schedule
Day 1 (Saturday, November 18, 2017)
Workshop open: 8:00 am – 8:30 am
8:30 am – 10:00 am Workshop Sessions
ICDM PhD Forum (http://web.eecs.umich.edu/~dkoutra/tut/icdm_phd_forum17.html)
Featured panels: "Being a successful PhD student" and "Career options after a PhD"
Participating researchers and mentors:
Leman Akoglu (CMU)
Tanya Berger-Wolf (UIC)
Emilio Ferrara (USC)
Michael Franklin (UChicago)
Tsuyoshi Ide (IBM)
Stratis Ioannidis (NEU)
Youzuo Lin (Los Alamos National Laboratory)
Pauli Miettinen (Max-Planck-Institut für Informatik)
B. Aditya Prakash (Virginia Tech)
Xingdong Wu (University of Louisiana at Lafayette)
Aidong Zhang (UB, NSF)
Full-day workshops
DSBDA - Data Science and Big Data Analytics
DaMNet - Data Mining in Networks
DSHCM - Data Science for Human Capital Management
SSTDM - Spatial and Spatiotemporal Data Mining
DMESS - Data Mining in Earth System Science
SENTIRE - Sentiment Elicitation from Natural Text for Information Retrieval and Extraction
DMBIH - Data Mining in Biomedical Informatics and Healthcare
HDM - High Dimensional Data Mining
MoDat - Market of Data: Creating tools, data, and sensors from the Social Intelligence
DMS - Data Mining for Service
Half-day Workshop
Data Mining in Politics
Big Data and Data Science in Retail
ICDM International Workshop on Intelligence and Security Informatics (ISI-ICDM)
ARIAL - Data mining for Aging, Rehabilitation and Assisted Living
Data-driven Discovery of Models (D3M)
Data Mining for Cyber-physical and Industrial Systems (DMCIS)
Automation in Machine Learning
Data Mining on a Budget
10:00 am – 10:15 am Coffee Break
10:15 am – 11:45 am Workshop Sessions
ICDM PhD Forum
Full-day workshops
DSBDA - Data Science and Big Data Analytics
DaMNet - Data Mining in Networks
DSHCM - Data Science for Human Capital Management
SSTDM - Spatial and Spatiotemporal Data Mining
DMESS - Data Mining in Earth System Science
SENTIRE - Sentiment Elicitation from Natural Text for Information Retrieval and Extraction
DMBIH - Data Mining in Biomedical Informatics and Healthcare
HDM - High Dimensional Data Mining
MoDat - Market of Data: Creating tools, data, and sensors from the Social Intelligence
DMS - Data Mining for Service
Half-day Workshop
Data Mining in Politics
Big Data and Data Science in Retail
ICDM International Workshop on Intelligence and Security Informatics (ISI-ICDM)
ARIAL - Data mining for Aging, Rehabilitation and Assisted Living
Data-driven Discovery of Models (D3M)
Data Mining for Cyber-physical and Industrial Systems (DMCIS)
Automation in Machine Learning
Data Mining on a Budget
11:45 am – 1:00 pm Lunch (on your own)
1:00 pm – 3:00 pm Workshop Sessions
ICDM PhD Forum
Full-day workshops
DSBDA - Data Science and Big Data Analytics
DaMNet - Data Mining in Networks
DSHCM - Data Science for Human Capital Management
SSTDM - Spatial and Spatiotemporal Data Mining
DMESS - Data Mining in Earth System Science
SENTIRE - Sentiment Elicitation from Natural Text for Information Retrieval and Extraction
DMBIH - Data Mining in Biomedical Informatics and Healthcare
HDM - High Dimensional Data Mining
MoDat - Market of Data: Creating tools, data, and sensors from the Social Intelligence
DMS - Data Mining for Service
Half-day Workshop
Privacy and Anonymity in the Information Society
Data Science for Human Performance in Social Networks
DAPS 2017: 2nd International Workshop on Data Mining for the Analysis of Performance and Success
High Performance Graph Data Mining and Machine Learning
The Workshop on Optimization Based Techniques for Emerging Data Mining Problems
DMCS - Data Mining for Cyber Security
SERecSys - Semantics-Enabled Recommender Systems
3:00 pm to 3:15 pm Coffee Break
3:00 pm to 6:00 pm Workshop Sessions
ICDM PhD Forum
Full-day workshops
DSBDA - Data Science and Big Data Analytics
DaMNet - Data Mining in Networks
DSHCM - Data Science for Human Capital Management
SSTDM - Spatial and Spatiotemporal Data Mining
DMESS - Data Mining in Earth System Science
SENTIRE - Sentiment Elicitation from Natural Text for Information Retrieval and Extraction
DMBIH - Data Mining in Biomedical Informatics and Healthcare
HDM - High Dimensional Data Mining
MoDat - Market of Data: Creating tools, data, and sensors from the Social Intelligence
DMS - Data Mining for Service
Half-day Workshop
Privacy and Anonymity in the Information Society
Data Science for Human Performance in Social Networks
DAPS 2017: 2nd International Workshop on Datamining for the Analysis of Performance and Success
High Performance Graph Data Mining and Machine Learning
The Workshop on Optimization Based Techniques for Emerging Data Mining Problems
DMCS - Data Mining for Cyber Security
SERecSys - Semantics-Enabled Recommender Systems
7:00 pm – 9:00 pm ICDM Steering Committee Dinner (By Invitation
only) : CONTI Room, Mezzanine Level
Day 2 (Sunday, November 19, 2017)
Opening and Keynote Presentation-1
Conference open: 9:00 am – 9:30 am
Moderator: George Karypis
Keynote: 9:30 am – 10:30 am Leslie Valiant, Harvard University
Title: Reasoning on Learned Data
Coffee break: 10:30 am – 11:00 am
11:00 am – 12:40 pm Session
Session 1: Pattern Mining and Structure Learning
Session Chair: Zhi-Hua Zhou
Regular papers: 20 min. (including questions). Short papers: 10 min. (including questions).
Regular:
1. DM722 Efficiently Discovering Locally Exceptional yet Globally Representative
Subgroups Janis Kalofolias, Mario Boley, Jilles Vreeken
2. DM800 Scalable Hashing-Based Network Discovery Tara Safavi, Chandra Sripada,
Danai Koutra
3. DM406 Discovering Truths from Distributed Data Yaqing Wang, Fenglong Ma, Lu
Su, Jing Gao
Short:
1. DM361 Robust Estimation of Gaussian Copula Causal Structure from Mixed Data
with Missing Values Ruifei Cui, Perry Groot, Tom Heskes
2. DM627 MDL for Causal Inference on Discrete Data Kailash Budhathoki, Jilles
Vreeken
3. DM678 High-Dimensional Dependency Structure Learning for Physical Processes
Jamal Golmohammadi, Imme Ebert-Uphoff, Sijie He, Yi Deng, Arindam Banerjee
4. DM588 Exploring Common and Distinct Structural Connectivity Patterns Between
Schizophrenia and Major Depression via Cluster-driven Nonnegative Matrix
Factorization Junming Shao, Zhongjing Yu, Peiyan Li, Wei Han, Christian Sorg, Qinli
Yang
Session 2: Scalable Algorithms and High Performance Computing
Session Chair: Huzefa Rangwala
Regular papers: 20 min. (including questions). Short papers: 10 min. (including questions).
Regular:
1. DM324 Distributing Frank-Wolfe via Map-Reduce Armin Moharrer, Stratis
Ioannidis
2. DM690 Scalable Algorithms for Locally Low-Rank Matrix Modeling Qilong Gu,
Joshua D. Trzasko, Arindam Banerjee
3. DM915 Importance Sketching of Influence Dynamics in Billion-scale Networks
Hung T. Nguyen, Tri P. Nguyen, NhatHai Phan, Thang N. Dinh
Short:
1. DM433 Data Prefetching for Large Tiered Storage Systems Giovanni Cherubini,
Yusik Kim, Mark Lantz, Vinodh Venkatesan
2. DM565 DPiSAX: Massively Distributed Partitioned iSAX Djamel Edine Yagoubi,
Reza Akbarinia, Florent Masseglia, Themis Palpanas
3. DM632 GaDei: On Scale-up Training As A Service For Deep Learning Wei Zhang,
Minwei Feng, Yunhui Zheng, Yufei Ren, Yandong Wang, Ji Liu, Peng Liu, Bing Xiang,
Li Zhang, Bowen Zhou, Fei Wang
4. DM856 LCD: A Fast Contrastive Divergence Based Algorithm for Restricted
Boltzmann Machine Lin Ning, Randall Pittman, Xipeng Shen
Session 3: Text Mining
Session Chair: Juan D. Velasquez Silva
Regular papers: 20 min. (including questions). Short papers: 10 min. (including questions).
Regular:
1. DM363 A Self-adaptive Sliding Window based Topic Model for Non-uniform Texts
Jin He, Lei Li, Xindong Wu
2. DM581 MetaLDA: a Topic Model that Efficiently Incorporates Meta information He
Zhao, Lan Du, Wray Buntine, Gang Liu
3. DM929 Accurate Detection of Automatically Spun Content via Stylometric Analysis
Usman Shahid, Shehroze Farooqi, Raza Ahmad, Zubair Shafiq, Padmini Srinivasan,
Fareed Zaffar
Short:
1. DM245 Sub-Gibbs Sampling: a New Strategy for Inferring LDA Chuan Hu, Huiping
Cao, Qixu Gong
2. DM623 Aspect Sentiment Model for Micro Reviews Reinald Kim Amplayo, Seung-
won Hwang
3. DM667 Identifying Media Bias by Analyzing Reported Speech Konstantina
Lazaridou, Ralf Krestel, Felix Naumann
4. DM776 An Influence-Receptivity Model for Topic based Information Cascades
Ming Yu, Varun Gupta, Mladen Kolar
Session 4: Theory
Session Chair: Raju Gottumukkala
Regular papers: 20 min. (including questions). Short papers: 10 min. (including questions).
Regular:
1. DM341: Bayesian Optimization in Weakly Specified Search Space Vu Nguyen, Sunil
Gupta, Santu Rane, Cheng Li, Svetha Venkatesh
2. DM798 GoGP: Fast Online Regression with Gaussian Processes Trung Le, Khanh
Nguyen, Vu Nguyen, Tu Dinh Nguyen, Dinh Phung
3. DM887 Learning doubly stochastic affinity matrix via Davis-Kahan theorem
Jiwoong Park, Taejeong Kim
Short:
1. DM353 Hierarchical Multinomial-Dirichlet model for the estimation of conditional
probability tables Laura Azzimonti, Giorgio Corani, Marco Zaffalon
2. DM467 Effective Large-Scale Online Influence Maximization Paul Lagrée, Olivier
Cappé, Bogdan Cautis, Silviu Maniu
3. DM821 Theoretically and Empirically High Quality Estimation of Closeness
Centrality Shogo Murai
Lunch break: 12:40 pm – 2:00 pm (on your own)
2:00 pm – 3:30 pm Session
Session 5: Recommender Systems I
Session Chair: Xia Ning
Regular papers: 20 min. (including questions). Short papers: 10 min. (including questions).
Regular:
1. DM234 BiCycle: Item Recommendation with Life Cycles Xinyue Liu, Yuanfang
Song, Charu Aggarwal, Yao Zhang, Xiangnan Kong
2. DM585 Exploiting Hierarchical Structures for POI Recommendation Pengpeng
Zhao, Xiefeng Xu, Yanchi Liu, Ziting Zhou, Kai Zheng, Victor S. Sheng,, Hui Xiong
3. DM587 Collaborative Filtering with Social Local Models Huan Zhao, Quanming
Yao, James T. Kwok, Dik Lun Lee
Short:
1. DM383 Dynamic Propagation Rates: New Dimension to Viral Marketing in Online
Social Networks Tianyi Pan, Alan Kuhnle, Xiang Li, My T. Thai
2. DM626 A Broad Learning Approach for Context-Aware Mobile Application
Recommendation Tingting Liang, Lifang He, Chun-Ta Lu, Liang Chen, Philip S. Yu
3. DM680 A Practically Competitive and Provably Consistent Algorithm for Uplift
Modeling Yan Zhao, Xiao Fang, David Simchi-Levi
Session 6: Geospatial/Mobility Data
Session Chair: Ranga Raju Vatsavai
Regular papers: 20 min. (including questions). Short papers: 10 min. (including questions).
Regular:
1. DM236 Tracking Hit-and-run Vehicle with Sparse Video Surveillance Cameras and
Mobile Taxicabs Yang Wang, Wuji Chen, Wei Zheng, He Huang, Wen Zhang,
Hengchang Liu
2. DM879 Data-Driven Utilization-Aware Trip Advisor for Bike-sharing Systems Ji
Hu, Zidong Yang, Yuanchao Shu, Peng Cheng, Jiming Chen
3. DM740 Spatio-Temporal Neural Networks for Space-Time Series Forecasting and
Relations Discovery Ali Ziat, Edouard Delasalles, Ludovic Denoyer, Patrick Gallinari
Short:
1. DM316 Recover Fine-Grained Spatial Data from Coarse Aggregation Bang Liu,
Borislav Mavrin, Linglong Kong, Di Niu
2. DM510 Autoregressive Tensor Factorization for Spatio-temporal Predictions Koh
Takeuchi, Hisashi Kashima, Naonori Ueda
3. DM601 A Probabilistic Geographical Aspect-Opinion Model for Geo-tagged
Microblogs Aman Ahuja, Wei Wei, Wei Lu, Kathleen M. Carley, Chandan K. Reddy
Session 7: Sequences and Time series I
Session Chair: James Bailey
Regular papers: 20 min. (including questions). Short papers: 10 min. (including questions).
Regular:
1. DM408 Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at
Superhuman Performance Levels Shaghayegh Gharghabi, Yifei Ding, Chin-Chia
Michael Yeh, Kaveh Kamgar, Liudmila Ulanova, Eamonn Keogh
2. DM516 Situation Aware Multi-Task Learning for Traffic Prediction Dingxiong
Deng, Cyrus Shahabi, Ugur Demiryurek, Linhong Zhu
3. DM830 Linear Time Complexity Time Series Classification with Bag-of-Pattern-
Features Xiaosheng Li, Jessica Lin
Short:
1. DM295 Market Basket Prediction using User-Centric Temporal Annotated Recurring
Sequences Riccardo Guidotti, Giulio Rossetti, Luca Pappalardo, Fosca Giannotti, Dino
Pedreschi
2. DM480 Learning to Fuse Music Genres with Generative Adversarial Dual Learning
Zhiqian Chen,Chih-Wei Wu,Yen-Cheng Lu,Alexander Lerch,Chang-Tien Lu
3. DM890 Incorporating Spatio-Temporal Smoothness for Air Quality Inference
Xiangyu Zhao, Tong Xu, Yanjie Fu, Enhong Chen, Hao Guo
Session 8: Risk Minimization and Adaptive Learning
Session Chair: Bhavani Thuraisingham
Regular papers: 20 min. (including questions). Short papers: 10 min. (including questions).
Regular:
1. DM387 Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical
Classification Yu Wang, Qinghua Hu, Yucan Zhou, Hong Zhao, Yuhua Qian, Jiye
Liang
2. DM395 Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep
Learning NhatHai Phan, Xintao Wu, Han Hu, Dejing Dou
3. DM326 AWDA: An Adaptive Wishart Discriminant Analysis Haoyi Xiong, Wei
Cheng, Wenqing Hu, Jiang Bian, Zhishan Guo,
Short:
1. DM630 Risk Control of Best Arm Identification in Multi-Armed Bandits via
Successive Rejects Xiaotian Yu, Irwin King, Michael R. Lyu
2. DM777 Reputation-based Ranking Systems and their Resistance to Bribery Joao
Saude, Guilherme Ramos, Carlos Caleiro, Soummya Kar
3. DM237 HitFraud: A Broad Learning Approach for Collective Fraud Detection in
Heterogeneous Information Networks Bokai Cao, Mia Mao, Siim Viidu, Philip S. Yu
Conf. Demo Session: 2:00 pm – 3:30 pm
Session Organizers: Ryan Benton and Saurav Karmakar
1. SP35201 Fast Range Search By Pruning Unnecessary Distance Computations Based on
K-D Tree
Yewang Chen, Jai Puneet Singh, and Bouguila Nizar
2. SP35202 TweeLoc: A System for Geolocalizing Tweets at Fine-Grain
Pavlos Paraskevopoulos, Giovanni Pellegrini, and Themis Palpanas
3. SP35203 Pi-CEP: Predictive Complex Event Processing using Range Queries over
Historical Pattern Space
Syed Gillani, Abderrahmen Kammoun, and Kamal Singh
4. SP35204 Mining Human Mobility to Quantify Performance Status
Minh Nguyen, Zaki Hasnain, Sanjay Purushotham, Luciano Nocera, Paul Newton, and
Cyrus Shahabi
Coffee break: 3:30 pm – 4:00 pm
4:00 pm – 6:00 pm Session
Session 9: Deep Learning
Session Chair: My Thai
Regular papers: 20 min. (including questions). Short papers: 10 min. (including questions).
Regular:
1. DM375 Topological Recurrent Neural Network for Diffusion Prediction Jia Wang,
Vincent W. Zheng, Zemin Liu, Kevin Chen-Chuan Chang
2. DM453 A Deep Transfer Learning Approach for Improved Post-Traumatic Stress
Disorder Diagnosis Debrup Banerjee, Kazi Islam, Gang Mei, Lemin Xiao, Guangfan
Zhang, Roger Xu, Shuiwang Ji, Jiang Li
3. DM550 A Short-Term Rainfall Prediction Model using Multi-Task Convolutional
Neural Networks Minghui Qiu,Peilin Zhao,Ke Zhang,Jun Huang,Xing Shi,Xiaoguang
Wang,Wei Chu
4. DM1003 Deep Similarity-Based Batch Mode Active Learning with Exploration-
Exploitation Changchang Yin,Buyue Qian,Shilei Cao,Xiaoyu Li,Jishang Wei,Qinghua
Zheng,Ian Davidson
Short:
1. DM216 Efficient and Invariant Convolutional Neural Networks for Dense Prediction
Hongyang Gao, Shuiwang Ji
2. DM222 Recurrent Encoder-Decoder Networks for Time-Varying Dense Prediction
Tao Zeng,Bian Wu,Jiayu Zhou,Ian Davidson,Shuiwang Ji
3. DM788 Differentially Private Mixture of Generative Neural Networks Gergely Acs,
Luca Melis, Claude Castelluccia, Emiliano De Cristofaro
4. DM794 A Self-Paced Category-Aware Approach For Unsupervised Adaptation
Networks Wenzhen Huang,Peipei Yang,Kaiqi Huang
Session 10: Biology and Medicine
Session Chair: Myra Spiliopoulou
Regular papers: 20 min. (including questions). Short papers: 10 min. (including questions).
Regular:
1. DM214 Multi-task Survival Analysis Lu Wang, Yan Li, Jiayu Zhou, Dongxiao Zhu,
Jieping Ye
2. DM409 Generating Medical Hypotheses Based on Evolutionary Medical Concepts
Guangxu Xun, Kishlay Jha, Vishrawas Gopalakrishnan, Yaliang Li, Aidong Zhang
3. DM857 Data-Driven Immunization Yao Zhang, Arvind Ramanathan, Anil
Vullikanti, Laura Pullum, B. Aditya Prakash
4. DM876 Knowledge Guided Short-Text Classification For Healthcare Applications
Shilei Cao,Buyue Qian,Changchang Yin,Xiaoyu Li,Jishang Wei,Qinghua Zheng,Ian
Davidson
Short:
1. DM894 Wave2Vec: Learning Deep Representations for Biosignals Ye Yuan,
Guangxu Xun, Qiuling Suo, Kebin Jia, Aidong Zhang
2. DM449 Boosting Deep Learning Risk Prediction with Generative Adversarial
Networks for Electronic Health Records Zhengping Che, Yu Cheng, Shuangfei Zhai,
Zhaonan Sun, Yan Liu
3. DM866 Epidemic Forecasting Framework Combining Agent-Based Models and Smart
Beam Particle Filtering Farzaneh S. Tabataba, Bryan Lewis, Milad Hosseinipour,
Foroogh S. Tabataba, Srinivasan Venkatramanan, Jiangzhuo Chen, Dave Higdon,
Madhav Marathe
4. DM425 Synchronization-inspired Co-clustering and Its Application to Gene
Expression Data Junming Shao, Chongming Gao, Wei Zeng, Jingkuan Song, Qinli
Yang
Session 11: Streaming and Online learning
Session Chair: Alfredo Cuzzocrea
Regular papers: 20 min. (including questions). Short papers: 10 min. (including questions).
Regular:
1. DM292 Large Scale Kernel Methods for Online AUC Maximization Yi Ding,
Chenghao Liu, Peilin Zhao, Steven C.H. Hoi
2. DM458 HistoSketch: Fast Similarity-Preserving Sketching of Streaming Histograms
with Concept Drift Dingqi Yang, Bin Li, Laura Rettig, Philippe Cudre-Mauroux
3. DM796 Online learning of acyclic conditional preference networks from noisy data
Fabien Labernia, Bruno Zanuttini, Brice Mayag, Florian Yger, Jamal Atif
4. DM660 Online and Distributed Robust Regressions under Adversarial Data Corruption
Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
Short:
1. DM224 WRS: Waiting Room Sampling for Accurate Triangle Counting in Real Graph
Streams Kijung Shin
2. DM815 Domain Adaptation for Online ECG Monitoring Diego Carrera, Beatrice
Rossi, Pasqualina Fragneto, Giacomo Boracchi
3. DM863 New Class Adaptation via Instance Generation in One-Pass Class Incremental
Learning Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou
4. DM842 Finding Streams in Knowledge Graphs to Support Fact Checking Alessandro
Flammini, Filippo Menczer, Giovanni Luca Ciampaglia
Tutorial 1 (4:00 pm – 6:30 pm)
Challenges and Solutions in Group Recommender Systems
by Ludovico Boratto
Reception: 7:00 pm
Day 3 (Monday, November 20, 2017)
Keynote Presentation-2
Moderator: Srinivas Aluru
Keynote: 9:00 am – 10:00 am Aidong Zhang, University at Buffalo,
SUNY and the National Science Foundation
Title: Connecting the Dots: Data-Driven Self Learning for Knowledge
Discovery
Coffee break: 10:00 am – 10:30 am
10:30 am – 1:00 pm Session
Session 12: Clustering
Session Chair: Ambedkar Dukkipati
Regular papers: 20 min. (including questions). Short papers: 10 min. (including questions).
Regular:
1. DM358 AnySCAN: An Efficient Anytime Framework with Active Learning for Large-
scale Network Clustering Weizhong Zhao, Gang Chen, Xiaowei Xu
2. DM370 Revisiting Spectral Graph Clustering with Generative Community Models
Pin-Yu Chen, Lingfei Wu
3. DM535 Kernel Conditional Clustering Xiao He, Thomas Gumbsch, Damian
Roqueiro, Karsten Borgwardt
4. DM810 A Generic Framework for Interesting Subspace Cluster Detection in Multi-
attributed Networks Feng Chen, Baojian Zhou, Adil Alim, Liang Zhao
Short:
1. DM275 Clustering by Shift Morteza Haghir Chehreghani
2. DM659 Crowdsourced correlation clustering with relative distance comparisons
Antti Ukkonen
3. DM983 CRAD: Clustering with Robust Autocuts and Depth Xin Huang, Yulia R.
Gel
4. DM914 Online Nearest Neighbor Search in Binary Space Sepehr Eghbali, Hassan
Ashtiani, Ladan Tahvildari
5. DM769 Efficient Computation of Multiple Density-Based Clustering Hierarchies
Antonio Cavalcante Araujo Neto, Joerg Sander, Ricardo J. G. B. Campello, Mario A.
Nascimento
6. DM686 Efficient Computation of Pairwise Minimax Distance Measures Morteza
Haghir Chehreghani
7. DM674 Novel Exact and Approximate Algorithms for the Closest Pair Problem
Sanguthevar Rajasekaran, Subrata Saha,, Xingyu Cai
Session 13: Graph Analytics
Session Chair: Tanya Berger-Wolf and Xiaowei Xu
Regular papers: 20 min. (including questions). Short papers: 10 min. (including questions).
Regular:
1. DM468 Improving I/O Complexity of Triangle Enumeration Yi Cui, Di Xiao, Daren
B.H. Cline, Dmitri Loguinov,
2. DM687 Scalable and Adaptive Algorithms for the Triangle Interdiction Problem on
Billion-Scale Networks Alan Kuhnle, Victoria G. Crawford, My T. Thai
3. DM710 Exploratory Analysis of Graph Data by Leveraging Domain Knowledge Di
Jin, Danai Koutra,
4. DM924 Edge-Based Wedge Sampling to Estimate Triangle Counts in Very Large
Graphs Duru Turkoglu, Ata Turk;
5. DM397 Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of
Graphs Christopher Morris, Kristian Kersting, Petra Mutzel
Short:
1. DM258 Fast Compressive Spectral Clustering Ting Li, Yiming Zhang, Dongsheng
Li, Xinwang Liu, Yuxing Peng
2. DM610 Spectral Lens: Explainable Diagnostics, Tools and Discoveries in Directed,
Weighted Graphs Sebastian Goebl, Srijan Kumar, Christos Faloutsos
3. DM325 Scalable Constrained Spectral Clustering via the Randomized Projected Power
Method Weifeng Zhi, Buyue Qian, Ian Davidson
4. DM691 Efficient Mining of Subsample-Stable Graph Patterns Aleksey Buzmakov,
Sergei O. Kuznetsov, Amedeo Napoli
5. DM956 Statistical Link Label Modeling for Sign Prediction: Smoothing Sparsity by
Joining Local and Global Information HongXiang Qiu, Elham Barzegaran, Mahdi
Jalili, Kevin Chen-Chuan Chang
Session 14: Learning Methods
Session Chair: Peter Beling
Regular papers: 20 min. (including questions). Short papers: 10 min. (including questions).
Regular:
1. DM500 Supervised Belief Propagation: Scalable Supervised Inference on Attributed
Networks Jaemin Yoo, Saehan Jo, U Kang,
2. DM773 An Analysis of Boosted Linear Classifiers on Noisy Data with Applications to
Multiple-Instance Learning Rui Liu, Soumya Ray
3. DM923 A Probabilistic Approach for Learning with Label Proportions Applied to the
US Presidential Election Tao Sun, Dan Sheldon, Brendan O’Connor
4. DM635 Telling Cause from Effect using MDL-based Local and Global Regression
Alexander Marx, Jilles Vreeken
Short:
1. DM215 Learning with Inadequate and Incorrect Supervision Chen Gong, Hengmin
Zhang, Jian Yang, Dacheng Tao
2. DM261 Automatic Classification of Music Genre using Masked Conditional Neural
Networks Fady Medhat, David Chesmore, John Robinson
3. DM345 Balanced Distribution Adaptation for Transfer Learning Jindong Wang,
Yiqiang Chen, Shuji Hao, Wenjie Feng, Zhiqi Shen
4. DM534 Multi-Party Sparse Discriminant Learning Jiang Bian, Haoyi Xiong, Wei
Cheng, Wenqing Hu, Zhishan Guo, Yanjie Fu
5. DM592 Tensor based Relations Ranking for Multi-relational Collective Classification
Chao Han, Qingyao Wu, Michael K. Ng, Jiezhang Cao, Mingkui Tan, Jian Chen
6. DM843 Informing the Use of Hyperparameter Optimization Through Metalearning
Samantha Sanders, Christophe Giraud-Carrier
Tutorial 2 (10:30 am – 1:00 pm)
Mining Cohorts & Patient Data: Challenges and Solutions for the Pre-Mining,
the Mining and the Post-Mining Phases
by Panagiotis Papapetrou and Myra Spiliopoulou
Lunch break: 1:00 pm – 2:00 pm (on your own)
Best Paper Presentations
Session Chair: Vijay Raghavan
Special Papers Session: 2:00 pm – 3:00 pm
1. DM364 TensorCast: Forecasting with Context using Coupled Tensors Miguel Ramos
de Araujo, Pedro Manual Pinto Ribeiro, Christos Faloutsos
2. DM552 Matrix Profile VII: Time Series Chains: A New Primitive for Time Series
Data Mining Yan Zhu, Makoto Imamura, Daniel Nikovski, Eamonn Keogh
Social Event: 3:00 pm – 6:00 pm
Conf Banquet: 6:30 pm
Day 4 (Tuesday, November 21, 2017)
Keynote Presentation-3
Moderator: Lucio Miele
Keynote: 9:00 am – 10:00 am Michael Franklin, University of
Chicago
Title: Big Data Software: What Is Next?
Coffee break: 10:00 am – 10:30 am
10:30 am – 12:30 pm Session
Session 15: Network Science
Session Chair: Danai Koutra
Regular papers: 20 min. (including questions). Short papers: 10 min. (including questions).
Regular:
1. DM269 Many Heads are Better than One: Local Community Detection by the Multi-
Walker Chain Yuchen Bian, Jingchao Ni, Wei Cheng, Xiang Zhang,
2. DM274 Benchmark Generator for Dynamic Overlapping Communities in Networks
Neha Sengupta, Michael Hamann, Dorothea Wagner
3. DM518 Collective Entity Resolution in Familial Networks Pigi Kouki, Jay Pujara,
Christopher Marcum, Laura Koehly, Lise Getoor
4. DM522 Overlapping Community Detection via Constrained PARAFAC: A Divide and
Conquer Approach Georgios B. Giannakis
Short:
1. DM308 iNEAT: Incomplete Network Alignment Si Zhang, Hanghang Tong, Jie
Tang, Jiejun Xu, Wei Fan
2. DM277 Automated Medical Diagnosis by Ranking Clusters Across the Symptom-
Disease Network Jingchao Ni, Hongliang Fei, Wei Fan, Xiang Zhang
3. DM803 Local Community Detection in Dynamic Networks Daniel J. DiTursi,
Gaurav Ghosh, Petko Bogdanov
4. DM947 Network Clocks: Detecting the Temporal Scale of Information Diffusion
Daniel J. DiTursi, Gregorios A. Katsios, Petko Bogdanov
Session 16: Feature Selection and Extraction
Session Chair: Alexander Bernstein
Regular papers: 20 min. (including questions). Short papers: 10 min. (including questions).
Regular:
1. DM430 AutoLearn - Automated Feature Generation and Selection Ambika Kaul,
Saket Maheshwary, Vikram Pudi
2. DM598 Unsupervised feature learning with discriminative encoder Gaurav Pandey,
Ambedkar Dukkipati
3. DM981 A Hyperplane-based Algorithm for Semi-supervised Dimension Reduction
Huang Fang, Minhao Cheng, Cho-Jui Hsieh
4. DM434 SCED: A General Framework for Sparse Tensor Decomposition with
Constraints and Elementwise Dynamic Learning Shuo Zhou, Sarah M. Erfani, James
Bailey
Short:
1. DM285 Domain Specific Feature Transfer for Hybrid Domain Adaptation WEI
PENGFEI, Ke Yiping, Goh Chi Keong
2. DM681 Kernel-Based Feature Extraction For Collaborative Filtering Saket Sathe,
Charu C. Aggarwal, Xiangnan Kong, Xinyue Liu
3. DM699 Reductions for Frequency-Based Data Mining Problems Stefan Neumann,
Pauli Miettinen
4. DM790 Warehouse Site Selection for Online Retailers in Inter-connected Warehouse
Networks Can Chen, Junming Liu, Qiao Li, Yijun Wang, Hui Xiong, Shanshan Wu
Session 17: Recommender Systems II
Session Chair: Yehuda Koren
Regular papers: 20 min. (including questions). Short papers: 10 min. (including questions).
Regular:
1. DM287 SPTF: A Scalable Probabilistic Tensor Factorization Model for Semantic-
Aware Behavior Prediction Hongzhi Yin, Hongxu Chen, Xiaoshuai Sun, Hao Wang,
Yang Wang, Quoc Viet Hung Nguyen
2. DM608 Mining Customer Valuations to Optimize Product Bundling Strategy Li
Ye,Hong Xie,Weijie Wu,John C.S. Lui
3. DM643 Visually-Aware Fashion Recommendation and Design with Generative Image
Models Wang-Cheng Kang, Chen Fang, Zhaowen Wang, Julian McAuley
4. DM892 Relational Mixture of Experts: Explainable Demographics Prediction with
Behavioral Data Masafumi Oyamada, Shinji Nakadai
Short:
1. DM384 Multi-level Feedback Web Links Selection Problem: Learning and
Optimization Kechao Cai, Kun Chen, Longbo Huang, John C.S. Lui
2. DM418 Collaborative Inference of Coexisting Information Diffusions Yanchao Sun,
Cong Qian, Ning Yang, Philip S. Yu
3. DM664 An Automatic Approach for Transit Advertising in Public Transportation
Systems Chen Zhang,Hao Wang,Hui Xiong
4. DM816 Learning Multiple Similarities of Users and Items in Recommender Systems
Huiyuan Chen, Jing Li
Tutorial 3 (10:30 am – 1:00 pm)
Mining Misinformation in Social Media: Understanding Its Rampant Spread,
Harm, and Intervention
by Liang Wu, Giovanni Luca Ciampaglia, Filippo Menczer and Huan Liu
ICDM Community Meeting with Lunch 12:30 pm – 2:00 pm
(Lunch provided by the Conference)
Student Travel Awards
ICDM '17 & '18
Citi Talk: Big Data in Credit Cards
Cisco Talk: Application Performance Management and Deep Learning
2:00 pm – 3:30 pm Session
Session 18: Social Networks
Session Chair: Xiaowei Xu
Regular papers: 20 min. (including questions). Short papers: 10 min. (including questions).
Regular:
1. DM365 GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-
Association on Directed Graphs Binghui Wang, Neil Zhenqiang Gong, Hao Fu
2. DM609 BL-MNE: Emerging Heterogeneous Social Network Embedding through
Broad Learning with Aligned Autoencoder Jiawei Zhang, Congying Xia, Chenwei
Zhang, Limeng Cui, Yanjie Fu, Philip S. Yu
Short:
1. DM653 SLANT+ : A Nonlinear Model for Opinion Dynamics in Social Networks
Bhushan Kulkarni, Sumit Agarwal, Abir De, Sourangshu Bhattacharya,, Niloy Ganguly
2. DM779 Mining the Demographics of Political Sentiment from Twitter Using Learning
from Label Proportions Ehsan Mohammady Ardehaly, Aron Culotta
3. DM368 The Many Faces of Link Fraud Neil Shah, Hemank Lamba, Alex Beutel,
Christos Faloutsos
Session 19: Multi-view and Multimodal Learning
Session Chair: Ryan G. Benton
Regular papers: 20 min. (including questions). Short papers: 10 min. (including questions).
Regular:
1. DM244 A Randomized Approach for Crowdsourcing in the Presence of Multiple
Views Yao Zhou,Jingrui He
2. DM284 HiMuV: Hierarchical Framework for Modeling Multi-Modality Multi-
Resolution Data Jianboi Li, Jingrui He, Yada Zhu
Short:
1. DM520 EC3: Combining Clustering and Classification for Ensemble Learning
Tanmoy Chakraborty
2. DM622 Multi-view Graph Embedding with Hub Detection for Brain Network Analysis
Guixiang Ma, Chun-Ta Lu, Lifang He, Philip S. Yu, Ann B. Ragin,
3. DM671 Multi-Level Multi-Task Learning for Modeling Cross-Scale Interactions in
Nested Geospatial Data Shuai Yuan, Jiayu Zhou, Pang-Ning Tan, Emi Fergus, Tyler
Wagner,, Patricia Soranno
4. DM714 Multimodal Content Analysis for Effective Advertisements on YouTube
Nikhita Vedula, Wei Sun, Hyunhwan Lee, Harsh Gupta, Mitsunori Ogihara, Joseph
Johnson, Gang Ren, Srinivasan Parthasarathy
5. DM781 Multi-level Multiple Attentions for Contextual Multimodal Sentiment
Analysis Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Mazumder,
Amir Zadeh, Louis-Philippe Morency
Session 20: Event Mining and Anomaly Detection
Session Chair: Kun Zhang
Regular papers: 20 min. (including questions). Short papers: 10 min. (including questions).
Regular:
1. DM789 STExNMF: Spatio-Temporally Exclusive Topic Discovery for Anomalous Event
Detection Dear Sungbok Shin, Minsuk Choi, Jinho Choi, Scott Langevin, Christopher
Bethune, Philippe Horne, Nathan Kronenfeld, Ramakrishnan Kannan, Barry Drake,
Haesun Park, Jaegul Choo
2. DM959 Multi-task Multi-modal Models for Collective Anomaly Detection Tsuyoshi
Ide, Dzung T. Phan, Jayant Kalagnanam
3. DM523 Split Miner: Discovering Accurate and Simple Business Process Models from
Event Logs Adriano Augusto, Raffaele Conforti, Marlon Dumas, Marcello La Rosa
Short:
1. DM424 BEEP: a Bayesian perspective Early stage Event Prediction model for online
social networks Xiao Ma, Xiaofeng Gao, Guihai Chen
2. DM278 Ranking Causal Anomalies by Modeling Local Propagations on Networked
Systems Jingchao Ni, Wei Cheng, Kai Zhang, Dongjin Song, Tan Yan, Haifeng Chen,
Xiang Zhang
3. DM994 Behind Distribution Shift: Mining Driving Forces of Changes and Causal
Arrows Biwei Huang, Kun Zhang, Jiji Zhang, Ruben Sanchez-Romero, Clark Glymour,
Bernhard Schölkopf
Session 21: Sequences and Time Series II
Session Chair: Alfredo Cuzzocrea
Regular papers: 20 min. (including questions). Short papers: 10 min. (including questions).
Regular:
1. DM948 Efficient Discovery of Time Series Motifs with Large Length Range in
Million Scale Time Series Yifeng Gao, Jessica Lin
2. DM537 Matrix Profile VI: Meaningful Multidimensional Motif Discovery Chin-Chia
Michael Yeh, Nickolas Kavantzas, Eamonn Keogh
Short:
1. DM314 Generating synthetic time series to augment sparse datasets Germain
Forestier, François Petitjean, Hoang Anh Dau, Geoffrey I. Webb, Eamonn Keogh
2. DM509 Audio-Visual Sentiment Analysis for Learning Emotional Arcs in Movies
Eric Chu, Deb Roy
3. DM547 Time-aware Latent Hierarchical Model for Predicting House Prices Fei Tan,
Chaoran Cheng, Zhi Wei
Coffee break: 3:30 pm – 4:00 pm
Conf. Panel Session: 4:00 pm – 5:00 pm
Moderators: Naren Ramakrishnan and Myra Spiliopoulou
Title: Data Science and Ethics when Dealing with Social Data
Panelists:
- Huan Liu, Arizona State Univ, USA
- Tanu Mitra, Virginia Tech Univ, USA
- Eirini Ntoutsi, Univ Hannover, Germany
- Jilles Vreeken, MPG Germany
ICDM2017 Sponsors