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AllSectors Business Communications

International Conference on

CONFERENCE OVERVIEW Today’s Organisations accumulate

huge volumes of data from a variety of

sources on a daily basis. However,

turning increasing large amounts of

data into useful insights and finding

remains a challenge for most

organisations. Data Mining is a

powerful new technology with great

potential to help companies focus on

the most important information in the

data they have collected about the

behavior of their customers and

potential customers.

Conference Objective: This

conference is convened in the interest

of facilitating a knowledge share

platform for exchange of ideas,

insights, technology, skills transfer,

advancement of the subject matter and

creating a network of field experts.

This conference will be held annually

year after year to bring to light the

latest trends and to keep the

participants abreast with current

developments in the area of Data

Mining. At this conference all aspects

of Data Mining, including the

emerging Big Data and predictive

Analytics are to be discussed shedding

light on various developments such as

original investigating results, real-

world applications and systems

development experiences of every

aspect of the subject matter.

DATA MINING AND

KNOWLEDGE DISCOVERY

Big Data & Predictive Analytics

ABC

KEY FEATURED SPEAKERS

Eric is a former Columbia University professor who used to sing to his students, and a renowned speaker, educator and leader in the field. Eric Siegel provides predictive analytics services at Prediction Impact, Inc., where predictive modeling and data mining are applied to gain customer intelligence. Eric Siegel is the conference chair of the Predictive Analytics World Conference, Text Analytics World Conference and Predictive Analytics World for Government.

19-20 NOVEMBER 2013 HILTON HOTEL, SANDTON-JOHANNESBURG, SOUTH AFRICA

Eric Siegel, Ph.D., founder of Predictive

Analytics World and Text Analytics World, and

Executive Editor of the Predictive Analytics

Times, makes the how and why of predictive analytics

understandable and captivating. Eric is the author

of Predictive Analytics: The Power to Predict Who Will

Click, Buy, Lie, or Die,

Dr. Ahsan Abdullah has a PhD in Computer Science, University of Stirling, UK MSc Computer Science, University of Southern California, USA MSc Computer Engineering, University of Southern California, USA BSc Electrical Engineering, UET, Lahore.

Dr. Ahsan has over 20 years of IT experience,

recently completed a US$ 0.5 million Decision

Support System project while heading a 35-

people team.

King Abdulaziz

University,

Jeddah, Saudi

Arabia

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B

Bridging Skills Gaps through Swift Learning Interventions “EFFECTIVELY”

DATA MINING AND KNOWLEDGE DISCOVERY CONFERENCE™

Big Data & Predictive Analytics

Speakers Panel

Prof João Gama

Scientific interests are: Machine Learning Learning from Data Streams Ensembles of Classifiers Constructive Induction Probabilistic Reasoning

Current Projects Knowledge Discovery from Ubiquitous Data Streams (PTDC/EIA/098355/2008). Keynote Speaker From Data to Knowledge: Machine Learning with Real-time and Streaming Applications Conference chair Intelligent Data Analysis 2011 Track chair Data Streams Track @ ACM SAC 2013 Member of the Editorial Board: Machine Learning Journal, Data Mining and Knowledge Discovery, Intelligent Data Analysis and New Generation Computing. Member of APPIA (Associacao Portuguesa para a Inteligencia Artificial), IEEE, SIGAPP and SIGKDD

Dr. Peter Cochrane Peter has been involved in establishing new companies, the creation and deployment of new technologies, products and management systems, plus the transformation of corporations. His career in BT saw a progression from linesman and technician to engineer, Head of R&D and then CTO. His 1000 strong team engaged in studies spanning optical fibre, fixed and mobile nets, complex systems, human interface design, eCommerce, eLogistics, Artificial Life and Intelligence. Peter has also been employed in the defence, logistics, travel, retail, energy, healthcare, transport, pharma, and consulting sectors. As an investor and entrepreneur he has also engaged in the founding of new companies, and global investments.

Mr. John Jurd

Johan has spent the past 15 years in the Business Intelligence Market in various roles including development, sales, support, maintenance and management of the Information Builders suite of products, including Predictive Analysis, and the last 39 years in the Information Technology world. Information Builders has just been awarded the number one spot, for the fourth consecutive year, in the Howard Dresner 2013 Wisdom of Crowds ® Business Intelligence Market Study, including 33 survey categories.

Prof Rénette Blignaut

She served as Chairperson from 2005 to March 2012. She completed her B.Sc. at the Rand Afrikaans University and then started her career at the Medical Research Council. She completed her Honours in Mathematical Statistics on a part-time basis at the University of Pretoria. Rupert International then employed her in their research division as a Statistician. She returned to the Medical Research Council as a Bio-statistician and on a part-time basis completed her Master’s degree in Mathematical Statistics at the University of Cape Town. She started her academic career as a senior lecturer at the University of the Western Cape in 1992. A Ph.D. was awarded to her for a thesis on the “Modeling of claim patterns of members of private medical aid schemes”. Since then she has been conducting research in various fields namely: Biostatistics, Data Mining, HIV and AIDS prevention and Science Education. She has co-authored about 50 accredited publications, presented at more than 20 international conferences and about 35 national conferences.

Associate Professor University of Porto, Faculty of Economics, Portugal and Researcher at Laboratory of Artificial Intelligence and Decision Support, LIAAD - INESC Porto.

Johan Jurd is currently the

Managing Director of

InfoBuild, who represents

Information Builders in

southern Africa.

Dr Peter Cochrane (OBE, BSc, MSc, PhD, DSc, CGIA, FREng, FRSA, FIEE, FIEEE) As a seasoned professional with over 40 years of hands on management, technology and operational

experience,

Rénette Blignaut is an

Associate Professor in Statistics

at the University of the Western

Cape. She is currently the

Deputy Chairperson of the

Statistics and Population

Studies Department at the

University of the Western Cape

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PrTechEng MPhil(Civil Eng) MSAICE MIPET

Mr. Andre McDonald

After serving as lecturer at the University of Pretoria in

2005, he joined CSIR Defence, Peace, Safety and Security

in 2008 as a radar engineer, where he was responsible

for developing radar detectors that are used in maritime

defence applications. He carried out contract R&D for the

CSIR National Laser Centre in 2011 and 2012 in the fields

of quantum computing and Fourier optics. He joined CSIR

Modelling and Digital Sciences in 2012. His research

interests include mathematical statistics, data mining,

information theory, mathematical modelling and

simulation, radar systems, signal processing, and physics.

Prof Fulufhlelo Nelwamando

He is currently a Principal Researcher and the

Competency Area Manager for the Information Security

area of research, which resides within the Modelling and

Digital Science Unit of the CSIR. He is a senior member of

the IEEE, and a visiting professor of Electrical Engineering at

the University of Johannesburg. He was a post-doctoral fellow

at the Graduate School of Arts and Sciences, of Harvard

University. Prof Nelwamondo has research and practical

experience in software engineering and in computational

intelligence in various applications. He is the youngest South

African ever to receive the Harvard-South Africa fellowship

and has been awarded many national and international

research accolades, from organizations such as the IEEE, South

African Institute of Electrical Engineers, amongst others. In

2009/10, he was awarded the National Science and

Technology Forum award, for outstanding research completed

in the last 2-5 years. He has interests in exciting and emerging

areas of software and technology applications including

Biometrics based system, data mining, modelling of complex

systems, machine learning and mechanism design. He has

presented his work in various countries such as South Africa,

Czech Republic, Canada, Hungary, England, Taiwan, China and

United States of America to name a few. Nelwamondo has

successfully co-supervised several Doctoral and Masters

degrees in electrical engineering and Computer Science.

Dr. Dirk Van Shalkwyk As statistical Consultant in various research establishment and universities. He has been involved with design and analysis of a large number of trails and surveys in different, mainly biological and medical field. He has an initial training genetics (MSc) more a biologist than a statistician. Hence bring fourth knowledge for medical professions.

Dr Barry Devlin With experience, including 20 years with IBM as a

Distinguished Engineer, he is a widely respected analyst,

consultant, lecturer and author of the seminal book, “Data

Warehouse—from Architecture to Implementation” and

numerous White Papers. His new book “Business

unIntelligence” is published this year by Technics Publications.

Barry is founder and principal of 9sight Consulting. He

specializes in the human, organizational and IT implications of

deep business insight solutions that combine operational,

informational and collaborative environments. A regular

contributor to BeyeNETWORK, SmartDataCollective and

TDWI, Barry is based in Cape Town, South Africa and operates

worldwide.

Andre McDonald (B.Eng

2004, M.Eng 2010) is an

information security and

data-mining researcher at

CSIR Modelling and Digital

Sciences.

Fulufhelo Nelwamondo is an

electrical engineer by training, and

holds a Bachelor of Science and a

PhD in Electrical Engineering, in the

area of Computational Intelligence,

both from the University of the

Witwatersrand, in South Africa.

Who Should Attend? CIO’s, CFO’s ,CTO’s, IS Managers, IT Directors, Data Analysts, Researchers, Statistians, Customer Insights Analytic managers, Quantitative analysts, Master Data and Management Specialist, information systems managers, Data Extraction Specialists, Financial Analysts, Research Analysts, Mining and Metals, Business Analysts and Business Process Managers,EE Analysts, performancy Analysts, Economists, Database Administrators, Risk Advisory, Forensics Consultants, projects managers, Research Analysts Banking, Research Analysts Telecoms. Researchers Social for NGO’s, Statisticians, Equity Analysts, Marketing Managers, Senior Data demand and Use Advisor, Business intelligence Specialist, Senior SAS Analyst, Risk analysts, Credit Risk, SQL Developer Analyst, Data Analyst, Bi Developer, Senior Developer, Scientists and Engineers, Management Consultant and all relevant personnel

Professor (Emeritus) Qualifications: 1971: PhD (Statistics) University of London 1965: MSc Agric (Cum Laude) (Genetics) Univ of Stellenbosch 1964: BSc Hons Agric (Cum Laude) (Genetics) Univ of Stellenbosch 1962: BSc Agric (Genetics, Mathematical Statistics) Univ of Stellenbosch

Dr. Barry Devlin is among the

foremost authorities on business

insight and one of the founders

of data warehousing, having

published the first architectural

paper on the topic in 1988

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About Organisers-ABC Allsectors Business Communications is a business Intelligence Company coordinating world-class business events, providing high quality training and media communication support services. ABC is established on a strong foundation to enhance skills development and to improve business knowledge in Africa by facilitating skills transfer and dissemination of business information via a medium of conferences, seminars, media

publications, forums, online resources, summits, workshops, in-house trainings, face to face interaction and other business knowledge and information share platforms that support workforce development and advance information gathering and dissemination cross the continent. Our aim is to provide business intelligence to ensure that the region has access to latest information and the skills necessary to foster skills

development, boost competitiveness and attract investors and entrepreneurs from everywhere around the globe

08:00 Refreshments & Registration

08:20 Welcome & Introduction

08:30 Opening Speech

09:45 1st Presentation Applied Data Warehousing

and Mining: by

09:30 2nd Presentation - Big Data Analytics

10:15 3rd Presentation – The Functional Basics of

Predictive Analysis: by Johan Jurd, Managing

Director- Infobuild (Pty) Ltd, South Africa

10:45 Morning `Break

11:00 4th Presentation- Predictive Analytics:

Tapping the Potential of Big Data By Eric Siegel,

PhD, Founder of Predictive Analytics World and

Text Analytics World, Author of Book Predictive

Analytics. USA.

11:45 5th: Presentation- Predictive Risk Models for

Temporal Data in Risk Analysis by Prof Silvia

Figini (BSc in Economics, Pavia University; PhD in

Statistics, University of L.Bocconi, Italy

12:30 Lunch Break

13:30 6th Presentation- Persuasion by the

Numbers: Optimize Marketing Influence by

Predicting It: by Eric Siegel, PhD, Founder of

Predictive Analytics World and Text Analytics World,

Author of Book Predictive Analytics. USA

14:15 7th Presentation- Data Stream Mining:

Future Directions by Prof Joao Gama-Associate

Professor of University of Porto and Researcher at

LIAAD-INESC TEC. Portugal

15:00 Afternoon Break

15:15 8th Presentation- Can Data Mining

Techniques Reliably Analyse Weighted Survey

Data? By Prof Renette Blignaut. South Africa

16:00 9th Presentation- Data Mining for

Medicine: by Dr. Dirk van Schalkwyk, South

Africa

16:45 10th Presentation- Big Data Cyber

Security by Prof Fulufhelo Nelwamondo/Mr

Andre McDonald – CSIR

17:15 End of Day One

18:00 Gala Dinner

18:30: Welcome and Speech

19:00 BIG DATA & PREDICTIVE ANALYTICS

Forum:

Guest Panel: to be confirmed.

Moderator: to be confirmed,

19:45 Diner

21:00 End of Gala Dinner

Sponsors required for the Gala Diner.

DAY 2: 20 NOVEMBER 2013

08:00 Refreshments & Registration

08:20 Welcome & Introduction

08:30 Opening Speech

09:45 1st Presentation- Credit Risk Survival

Models for Temporal Performance Measures

for Life -Time Value Estimations by Prof Silvia

Figini (BSc in Economics, Pavia University; PhD

in Statistics, University of L.Bocconi, Italy

DAY 1: 19 NOVEMBER 2013

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09:30 2nd Presentation- Anti-Fraud Applications

in Different Industries and How Analytics and

Data Mining can help to in Fraud Detection”. By

Goran Dragosavac, Principal Solutions

managers- SAS Institute Inc. South Africa

10:15 3rd Presentation- Knowledge Discovery in Education Data for National Educational Planning by Prof. Adenike Osofisa. Nigeria. Synopsis: In Nigeria like many other countries in Africa, students’ data, including examinations results, are kept in different forms depending on the agency/units responsible for such data. This paper will highlight how these data can be annexed together and explore the different researches that can be carried out on such data using Data warehousing Technology /Data Mining Technologies. The idea proposed will be validated using the result of previous researches in application of DW/DM in the educational sector.

10:45 Morning Break

11:00 4th Presentation-From Business

Intelligence to Analytics and Big Data by Dr. Barry Devlin, 9sight, South Africa Synopsis: The old world of business intelligence is being transformed into a new biz-tech ecosystem. Analytics is forcing the recombination of operational and informational systems in a consistent and coherent IT environment for all business activities. Big data—despite the hype—introduces two very different types of information that transform how business processes interact with the external world. Together, these directions are driving a new BI, so different to its prior form that I call it “Business unIntelligence”. This session covers:

12:30 Lunch Break

13:30 6th Presentation- Big Data A Business Necessity: The Cloud: Necessary to connect 7Bn People and over 50Bn

things because The Internet Will Not Scale Social Nets/Working: A result of computing power, apps, skills and

mobility migrating to the edge BYOD: The only way to achieve the workforce flexibility and adaptability

necessary for this Century Big Data: A manifestation of the Green Agenda and the need to do more

with less in a sustainable way

16:00 End of Day Two & Conference proceedings

16:00 -17:00 Exhibitions & Cocktails

First 100 participants to register will receive a free book of

Predictive Analytics written by Eric Siegel one of the keynote

speakers at the conference.

Synopsis of Some Keynote Presentations/ Abstracts: Predictive Analytics: Tapping the Potential of Big Data: The

excitement over "big data" has grown so dramatically as to assume the status

of a Movement. But what is the value, the function, the purpose? The most

actionable thing to be gained from data is prediction. This is achieved by

analytically learning from data how to render predictions for each individual.

Such predictions drive more effective the millions of operational decisions that

organizations make every day. In this keynote, Predictive Analytics World

founder and Predictive Analytics author Eric Siegel reveals how predictive

analytics works, and the ways in which it delivers value to organizations across

industry sectors. Persuasion by the Numbers: Optimize Marketing Influence by

Predicting It: Data driven marketing decisions are meant to maximize

impact - right? Well, the only way to optimize marketing influence is to predict

it. The analytical method to do this is called uplift modeling. This is a

completely different animal from what most models predict: customer behavior.

Instead, uplift models predict the influence on customer behavior gained by

choosing one marketing action over another. The good news is case studies

show ROI going where it has never gone before. The bad news? You need a

control set... But you should have been using one anyway! The crazy part is that

"marketing influence" can never be observed for any one customer, since it

literally involves the inner workings of the customer's central nervous system. If

influence can't be observed

The Functional Basics of Predictive Analysis: Today’s managers must

always look at the past, present, and future. They need reports on past

performance to improve operational efficiency. They need to make informed

forecasts about the future to optimise resource allocation and consumption.

And, they need data about current conditions to react to problems and

changing conditions before they have a negative impact on the business.

Big Data & Cyber Security: Businesses and government infrastructure are

constantly exposed to cyber attacks in the modern age of Internet connectivity.

Due to the growing complexity of information systems and attack strategies,

traditional mechanisms for protecting against cyber attacks are no longer

sufficient. Devices that actively monitor and detect network intrusions have

become a critical security element in large business networks. To function

effectively, these devices require data on local cyber threats and mechanisms

for protecting against them. CSIR MDS obtains this information using data

mining techniques on real time data it receives from network sensors, which

are in the process of being deployed throughout South African wide area

networks. Not only does this information provide an accurate picture of the

local threat landscape, but also the ability to respond more rapidly to new

threats. This ability is key to ensuring the future safety of business networks in

South Africa, and provides CSIR MDS a competitive advantage against

traditional security systems in the local arena.

Big Data A Business Necessity-Impacting the limitations of raw material

and energy supply demands far more than improving the efficiency of our

existing business processes and models. Continuing to do what we have always

done, using fewer resources, and better management systems, merely postpones

the crunch point of the green agenda. We have to think new and different!

Today; data gathering, mining and analysis is about the monitoring of people, companies, institutions, logistics, raw material and product production focused on 6 sigma delivery and customer satisfaction. Repurposing, reusing a recycling helps meet our green objectives, but falls far short of what is required. Our old IT models, company structures and working practices turn out to be ineffective, and often, dangerous. Sustainable futures (in the broadest sense) can only be achieved with new materials and manufacturing methods that will see the shipping of designs instead of products, cloud working instead of corporate concentrations of people, the gross outsourcing of technologies and facilities, along with new working practices and company structures that are far more

open, adaptable, and accepting of change. The Cloud, Mobile Working, Social, Nets, BYOD and Big Data are therefore necessities that we have to embrace in order to stay competitive in a world that is managed by the $$$ but subject to the increasing limitations of finite resources, environmental and social impact. On another level, security and validity have to be assured in a world apparently more open to attack and infiltration. Big Data turns out to be a key element in the security war against the growing 'Needle in a Needle Stack' problem. Firewalls have already proved ineffective, but The Cloud offers us a route to near infinite security.

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have made full payment will be admitted into the event unless agreed otherwise with the ABC Management. Cancellations: The client hereby agrees that once a signed

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cancel the event. Allsectors Business Events and Communications shall try to reschedule the event and will advise the delegate to transfer to another event of their

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formulation, validity and performance of this contract or agreement in every and all respects.

ATTENDEES Title Full Names ID or Passport

Number Position Contacts Email

Course Title: Data Mining and Knowledge Discovery (Big Data & Predictive Analytics) Conference

Date: 19-20 November 2013.

Venue: Hilton Hotel Sandton Johannesburg-Gauteng-SA Code: ABCC26/13

FEES: R10 990 for 2 Days & R8 990 for 1 Day Vat Exclusive

Special-Block Bookings 3-5 delegates R1000 discount, 6-10 delegates R1500,

10-more delegates R2000 discount and Student Package a Flat fee= R5990.

Registration Fee; covers all program materials, refreshments during breaks and lunch, parking fees, but excludes accommodation. Payment Methods: Please select the mode of payment by ticking in the appropriate box Electronic Transfer Bank Deposit Cheque Credit Card Bank Details: Standard Bank Acc No:023366516 Branch Code: 009953 Branch: Fourways Crossing Swift Code: SBZAZAJJ

visa Card No…………………………………… Mastercard Expiry Date……………………………….. American Express Cardholders Name….............................. Diners Club Authorisation Code……………………... Other Signature………………………………….

Terms and Conditions: Payments: Payment should made within 5 working days after receipt of invoice unless agreed otherwise prior to the confirmation of the booking. Payment maybe made

using the payment methods provided on our registration form and invoice. Please note that full payment must be received prior to the event. Only delegates who have

made full payment will be admitted into the event unless agreed otherwise with the ABC Management. Cancellations: The client hereby agrees that once a signed

registration form is received and the authorising signature is confirmed by our office. The booking will be entered into our registration register. The client agrees to

inform ABC of all cancellations in writing. Cancellations received after the booking has been received and confirmed will be charged a service fee of 5% of the price.

Cancellations received 4 weeks before the event will be liable for a 50% cancellation fee. Cancellations received 2 weeks prior to the event will be liable for a 70%

cancellation fee and cancellations received 1 week prior to the event will be charged at 100% cancellation fee. Delegate substitutions are welcome at any time without

any service charges. Credit vouchers to attend any other ABC events will be issued once payment has been received. No show delegates will be provided with a credit

voucher. Indemnity – Under catastrophic circumstances beyond our control Allsectors Business Events and Communications, may change the Venue, Speakers, or

cancel the event. Allsectors Business Events and Communications shall try to reschedule the event and will advise the delegate to transfer to another event of their

choice within a period of 12 months. The client will not hold Allsectors Business Events and Communication Liable for any costs, damages and expenses, including

attorney fees, which may be incurred by the client. The Laws of South Africa to the exclusive jurisdiction of whose courts the parties agree to submit shall govern the

formulation, validity and performance of this contract or agreement in every and all respects.

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