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GRSI focuses on the research and development of intelligent systems based on (1) extracting interesting patterns from moderate and large complex data (Data Mining) and (2) learning from them (Machine Learning) for helping experts by means of the building of decision support systems. In this framework, GRSI works on different stages of the process of data mining: pre-processing, characterization of data sets, analysis for a better understanding and improvement of machine learning techniques, methodologies to evaluate learners, and post-processing. During the last few years, the research has mainly focused on learning methods inspired by natural principles and analogy. The group is known for its expertise on Evolutionary Computation, Soft Case-Based Reasoning, and Neural Networks.
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Data MininggResearch, Innovation and Development for supporting experts in their decisionspp g p
Supporting experts is helping them to take more effective efficient and reliable decisionseffective, efficient and reliable decisions
Page 1Research, Innovation and Development for supporting experts in their decisions
Campus laSalle Barcelonap
• Campus with 5 buildingsp g• 4000 students.• More than 100 years training highly qualified professionals.
Entrepreneurship
Differential Research ffmethodology
InternationalPrestige and
Groups
International character
La Salle
Prestige and innovation
Laboratories and infrastructures
La Salle TechnovaBarcelona
Page 2Research, Innovation and Development for supporting experts in their decisions
Outline
• Research Group in Intelligent SystemsDescriptors– Descriptors
– Research on Data Mining• Projects related to Health Sciences
– Decision support system for Breast Cancer – Data Mining as support for melanoma experts
Page 3Research, Innovation and Development for supporting experts in their decisions
What is Artificial Intelligence (AI)?
• John McCarthy coined AI term in 1956 as ‘the science and engineering ofmaking intelligent machines’ at a conference at Dartmouth College. Intelligent
g ( )
machine terms refer to the capability of performing intelligent human processesas:
– Learning– Reasoning– Problem solving– PerceptionPerception– Language understanding
• AI has become an essential part of the technology industry, providing theAI has become an essential part of the technology industry, providing the heavy lifting for many of the most difficult problems in computer science.
– Prediction– Classification– Classification– Regression– Clustering
F ti ti i ti– Function optimization
Page 4Research, Innovation and Development for supporting experts in their decisions
Why is AI powerful?
• The power resides in the combination of disciplines that tackle the same
y p
• The power resides in the combination of disciplines that tackle the same problems as AI: learn and understand, to solve problems and to make decisions.
• AI is fed from many disciplinesPhil h L i th d f i i d h i l t– Philosophy: Logic, methods of reasoning, mind as physical system, foundations of learning, language, rationality.
– Mathematics: Formal representation and proof, algorithms, computation, ( ) ( )(un)decidability, (in)tractability.
– Statistics : Modeling uncertainty, learning from data.– Economics: Utility, decision theory, rational economic agents.y y g– Neuroscience: Neurons as information processing units.– Psychology / NeuroScience: How do people behave, perceive, process
cognitive information represent knowledgecognitive information, represent knowledge.– Computer Engineering: Building fast computers.– Control Theory: Design systems that maximize an objective function over time.– Linguistics: Knowledge representation, grammars.
Page 5Research, Innovation and Development for supporting experts in their decisions
Basis of Artificial Intelligenceg
Philosophy• Discussion about
th ibilit f
Mathematical. • Philosophic bases
i f l
Computational linguistic
Cognitive psychology
Computational engineering
the possibility of a mechanical intelligence.
requires formal rules.
• Understanding language requires understanding of the subject matter
d th t t
• Behavior theories, rational behave basis.
• Some mechanism, hardware and tools are required for AI.
and the context.
Page 6Research, Innovation and Development for supporting experts in their decisions
A possible map of the current AIp p
• Evolutionary Computation• Case-Based Reasoning
R i f t L i
• Non monotonic reasoning• Model based reasoning
C t i t ti f ti • Reinforcement Learning• Neural Network
• Data Analysis
• Constraint satisfaction• Qualitative reasoning• Uncertain reasoning• Temporal reasoningTemporal reasoning• Heuristic search
Reasoning Machine Learning
Robotics,
• Logic
Robotics, perception and natural language
Knowledge Management
• Robotics and control• Natural Language Processing
• Multiagents systems• Decision Support System• Knowledge management• Knowledge representation
g gprocessing
Natural Language Processing• Artificial vision
• Speech recognition
Knowledge representation• Ontology and semantic web• Computer-Human interaction
Page 7Research, Innovation and Development for supporting experts in their decisions
Research Group in Intelligent Systems• GRSI is a research group focused on Machine Learning, especially in
the field of Knowledge Discovery from Databases (KDD) (also
p g y
known as Data Mining) for extracting interesting patterns from moderate and large complex data.
– Created in 1994Created in 1994 – Recognized as consolidated by Generalitat de Catalunya since 2002.– Group is composed of 18 members.
F ll f J M í G ll i th h d f th– Full professor Josep María Garrell is the head of the group.– We tackle classification, prediction, regression, optimization,
recommendation and diagnosis problems which occur in complex and huge volume of data in domains such as….
Health Energy Telematic Learning
Page 8Research, Innovation and Development for supporting experts in their decisions
9
Data Mining sets the differenceValue
g
How can we help them?Wisdom(Knowledge+ experience)
Why they are getting worse?
( g )
Knowledge(Information+ rules)How far do you
How many patients got worse?
(Information rules)
Information(Data + Context)
want to go?
How many patients are in the Intensive Care Unit?
(Data + Context)
Data Intensive Care Unit?
KDD allow experts to extract useful and hidden knowledge from data.
Volume The approach is valid for any domainBusiness, space, communication media, insurance companies,
financial services, health sciences, games, etc.
Page 9Research, Innovation and Development for supporting experts in their decisions
Research lines• GRSI works on the different stages of Knowledge Data
Discovery: characterization, pre-processing, analysis for a better understanding and improvement of machine learning techniques, methodologies to evaluate learners and post-processing.
Problem Analysis
Data Analysis
D t
Knowledge
Data Processing
Production
Modeling
Evaluation
Page 10Research, Innovation and Development for supporting experts in their decisions
Data Mining applicationsg pp
Clustering
Knowledge discovery
Association rulesClassification
Regression
Page 11Research, Innovation and Development for supporting experts in their decisions
Techniquesqn C t t g S l bl s Si l t s M th
ompu
tatio
n Create computer programs inspired by the process of natural selection and genetic laws for search R
easo
ning Solves new problems
using other previously solved.E.g. Retrieve a set of al
Netw
orks Simulate some
properties of biological neural networks to replicate how ‘our neurons’ works xit
y met
rics Measure the
‘complexity’ of a problem in terms of class separability and the discriminant power
lutio
nary
Co laws for search,
optimization and machine learning.E.g. Look for the best
Case
-Bas
ed g
similar mammographic images to a expert according to a set of criteria.
Neur
a neurons works.E.g. Build system that is able to replicate a behavior based on a
f
Com
plex the discriminant power
of features.E.g. Relate how the data complexity affects
f f
Evo equation that
represents a set of points. So
ft C set of inputs and
outputs previously known.
the performance of algorithms in order to adjust them properly.
Page 12Research, Innovation and Development for supporting experts in their decisions
GRSI members
DirectorGarrell Guiu Josep M PhD
Member emeritiBacardit Jaume PhD UKGarrell Guiu, Josep M., PhD
Assistant executive directorFornells Herrera, Albert, PhD
M b
Bacardit, Jaume, PhD, UKCastanys Tutzó, Mireia, PhDFarguell Matesanz, Enric, PhDLl à X i PhD USAMembers
Bernadó Mansilla, Ester, PhDCamps Dausà, Joan
Llorà, Xavier, PhD, USA Martorell Rodon, Josep Maria, PhDMacià Antolínez, Núria, PhDp ,
Corral Torruella, Guiomar, PhDGarcía Piquer, ÁlvaroGarriga Berga Carles PhD
Nettleton, David, PhDOrriols-Puig, Albert, PhD, USASalamó Llorente Maria PhDGarriga Berga, Carles, PhD
Golobardes Ribé, Elisabet, PhDNicolàs Sans, Rubén
Salamó Llorente, Maria, PhDPazienza de Filippis, Giovanni Egidio,
PhD, Hungary
Rios Boutín, JoaquimSancho Asensio, AndreuTeixidó Navarro FrancescTeixidó Navarro, FrancescVernet Bellet, David
Page 13Research, Innovation and Development for supporting experts in their decisions
Outline
• Research Group in Intelligent SystemsDescriptors– Descriptors
– Research on Data Mining• Projects related to health Sciences
– Decision support system for Breast Cancer – Data Mining as support for melanoma experts
Page 14Research, Innovation and Development for supporting experts in their decisions
Breast cancer diagnosis
• Goal: Development of a tool for intelligent retrieval of mammographic imagesby content analysis in order to help experts in the diagnosis process.
gTIC2002-04160-C02-02
by content analysis in order to help experts in the diagnosis process.
Di it li ti Mammographic capture
Digitalization, segmentation and feature
extractionRetrieval of
mammographic records Diagnosis support
Page 15Research, Innovation and Development for supporting experts in their decisions
Melanoma diagnosis TIN2006-15140-C03-03
• Goal: Help experts in the melanoma characterization for improving melanoma diagnosis
g
Characterization Patterns Medical protocols
Decision support systemspp y
Page 16Research, Innovation and Development for supporting experts in their decisions
Telematic vulnerabilities TIN2006-15140-C03-03
• Goal: Provide tools to the security analyst for helping them in the security analysis tasks by means of the identification of problematic situations which are nottasks by means of the identification of problematic situations which are not obviously.
CONSENSUS ANALIA
Page 17Research, Innovation and Development for supporting experts in their decisions
Active Demand Management
• Goal: Integration of system (OS), distribution (OD) and sellers (CM) agents for anefficient management of demand
gCEN200710126
efficient management of demand.
OSDesign and
implementation of agent communication Design and develop
intelligent devices for the
GAD CMOD
gmanagement of energy
demand at home
CL Pattern identification Develop of specific rates for clients Analysis of client demand
Page 18Research, Innovation and Development for supporting experts in their decisions
19
Integris: INTElligent GRId Sensor
• Goal: Integration and management of communication technologies in smart-
communications FP7 ICT-Energy-2009-1, Objective 6.5, #247938
grids for assuring QoS, security and reliability.
Page 19Research, Innovation and Development for supporting experts in their decisions
Thanks for your attentiony
For further information visit http://www.salle.url.edu/GRSIor send an email to afornells@salle url eduor send an email to [email protected]
Page 20Research, Innovation and Development for supporting experts in their decisions