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Logo Ateneo
   
Advanced Analytics and Behavior Informatics
Professor

Prof. Longbing Cao

 

 

 

Lecturer bio:    

 

Longbing Cao is a professor of information technology at the University of Technology Sydney (UTS) Australia. He got PhDs in Intelligent Sciences and Computing Science. He is the Founding Director of Advanced Analytics Institute, one of three university research institutes at UTS. He is also the Research Leader of the Data Mining Program at the Australian Capital Markets Cooperative Research Centre. He is a Senior Member of IEEE, SMC Society and Computer Society.

His primary research interests include data mining and machine learning, and artificial intelligence. He has published 2 monographs, 17 edited books and proceedings, 11 book chapters, and over 150 journal/conference publications. He initiated and is leading the research on behavior informatics, domain driven data mining, agent mining, and open complex intelligent systems.

Coming from a senior industry leadership commitments, his following expertise and experience has been widely recognized in the relevant communities: enterprise applications of intelligent big data analysis and intelligent systems and decisions in areas such as customer analysis, fraud detection, outlier detection, risk management, and operational analysis in domains including social security, capital markets, online business, banking, telecommunication, health care, insurance, marketing, and so on in the real world. He works closely with major government, industry and vendor organizations.

Longbing Cao is a professor of information technology at the University of Technology Sydney (UTS) Australia. He got PhDs in Intelligent Sciences and Computing Science. He is the Founding Director of Advanced Analytics Institute, one of three university research institutes at UTS. He is also the Research Leader of the Data Mining Program at the Australian Capital Markets Cooperative Research Centre. He is a Senior Member of IEEE, SMC Society and Computer Society.

His primary research interests include data mining and machine learning, and artificial intelligence. He has published 2 monographs, 17 edited books and proceedings, 11 book chapters, and over 150 journal/conference publications. He initiated and is leading the research on behavior informatics, domain driven data mining, agent mining, and open complex intelligent systems.

Coming from a senior industry leadership commitments, his following expertise and experience has been widely recognized in the relevant communities: enterprise applications of intelligent big data analysis and intelligent systems and decisions in areas such as customer analysis, fraud detection, outlier detection, risk management, and operational analysis in domains including social security, capital markets, online business, banking, telecommunication, health care, insurance, marketing, and so on in the real world. He works closely with major government, industry and vendor organizations.

 

 

Contacts, inquiries and comments:

Longbing Cao
Professor, Faculty of Engineering and IT
Director, Advanced Analytics Institute
University of Technology Sydney, Australia

Email: longbing.cao@uts.edu.au
Tel: + 61 2 9514 4477
Mobile: + 61 (0) 423 255 257
Homepage: http://www-staff.it.uts.edu.au/~lbcao/
AAI: www.analytics.uts.edu.au

Period and location

 

Period: three weeks, April 29th- May 13th

 

 

Department of Computer Science, Systems and Communication – University of Milano-Bicocca

April 29 th, May 2nd, May 6th, May 8 th, May 13th: Seminar Room, 1st Floor

May 10th: Riunioni Room, 1st Floor

Viale Sarca,336 U14     20126 Milano

 

www.unimib.it/go/146851158/Home/English/Secondary-menu/How-to-reach-us

 

 

Information: prof.ssa Gabriella Pasi pasi@disco.unimib.it

Program

 

 

 

Part

Lectures

Abstract

Time

1

Part 1: Introduction

Lecture 1: Introduction to big data analytics;

Introduction to behavior informatics

An overview of big data analytics and behavior informatics

April 29th

3 hours

10-13

2

Part 2: Behavior Informatics: Representation and Reasoning

Lecture 2: Behavior representation, modeling and checking

The concept of behavior, behavior informatics, visual modeling, formal modeling of behaviors, behavior model checking, and case studies

May nd

3 hours

10-13


3

 

Part 3: Behavior Informatics: Learning and Mining

Lecture 3: High impact behavior analysis; combined pattern mining; Negative behavior analysis

Concept of behavior impact, positive/negative behavior, impact-oriented behavior pattern mining and outlier detection, high impact behavior mining, combined behavior pattern mining, early prediction and intervention of high impact behavior, negative behavior pattern mining, and case studies

May 6th

3 hours

10-13

Lecture 4: Group and community behavior analysis

Concept of coupling, coupled behavior, coupled behavior analysis, abnormal coupled behavior learning, case studies

May 8th

3 hours

10-13

 

4

Part 4: Noniidenss Learning

Lecture 5: Introduction to noniidness learning;

Similarity in clustering;

Coupled ensemble clustering;

Coupled object analysis;

Pattern relation learning

Concept of noniidenss learning, challenges and prospects of noniidenss learning in big data, coupling, coupled object, coupled object analysis; heterogeneity, multi-structured data; similarity analysis of noniidenss learning, coupled ensemble clustering, coupled classification, combined mining of multistructured data, case studies

May 10th

3 hours

10-13

5

Part 5: Showcases and prospects

Lecture 6: Showcases &

Prospects

Showcases of advanced analytics;

Open issues and prospects in behavior informatics and advanced analytics

May 13th

2 hours

10-12

 

References:

  1. Audience can find all relevant papers from

http://www-staff.it.uts.edu.au/~lbcao/publication/publications.htm

  1. The following website about behaviour informatics:

www.behaviorinformatics.org

  1. The following slides are about behaviour informatics:

http://www-staff.it.uts.edu.au/~lbcao/publication/behavior-informatics-tutorial-slidesx.pdf

  1. The following slides about noniidness learning

http://www-staff.it.uts.edu.au/~lbcao/publication/noniidness-learning-online.pdf

Final Examination

A written report on an in-depth analysis of some specific part of the course.

 

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(C) Copyright 2016 - Dipartimento Informatica Sistemistica e Comunicazione - Viale Sarca, 336
20126 Milano - Edificio U14
redazioneweb@disco.unimib.it - ultimo aggiornamento di questa pagina 19/04/2013