Dynamic and Advanced Data Mining for Progressing Technological Development: Innovations and Systemic Approaches

Dynamic and Advanced Data Mining for Progressing Technological Development: Innovations and Systemic Approaches

A B M Shawkat Ali, Yang Xiang
Indexed In: SCOPUS
Release Date: November, 2009|Copyright: © 2010 |Pages: 516
DOI: 10.4018/978-1-60566-908-3
ISBN13: 9781605669083|ISBN10: 1605669083|EISBN13: 9781605669090
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Description & Coverage
Description:

Overcoming many challenges, data mining has already established discipline capability in many domains.

Dynamic and Advanced Data Mining for Progressing Technological Development: Innovations and Systemic Approaches discusses advances in modern data mining research in today's rapidly growing global and technological environment. A critical mass of the most sought after knowledge, this publication serves as an important reference tool to leading research within information search and retrieval techniques.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Bayesian Networks
  • Cointegrated econometric models
  • Concept-based mining model
  • Data Mining Techniques
  • Financial data mining
  • Intrusion Detection
  • Outlier detection-based alert reduction model
  • Pattern discovery from biological data
  • Process analysis on small databases
  • Spread of activation methods
  • Time Series Analysis
  • Web personalization
Reviews & Statements

This book discusses advances in data mining research in today's dynamic and rapid growing global economical and technological environments. This book provides readers the current state of knowledge, research results, and innovations in data mining, from different aspects such as techniques, algorithms, and applications, and introduces current development in this area.

– A B M Shawkat Ali, Central Queensland University, Australia
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Editor/Author Biographies
A B M Shawkat Ali has been involved with research and teaching in Australia and overseas universities at undergraduate and postgraduate levels over the past 12 years. He holds a PhD in Information Technology from Monash University (Australia) in statistical learning theory. He is an author of a data mining textbook published by Thomson and has published over 55 book chapters, journals, and conference papers in the fields of data mining, bioinformatics, telecommunications, and sensor networking. He has served as the Program Chair for the IEEE International Workshop on Data Mining and Artificial Intelligence since 2008. He has also been a PC member for many international conferences including IEEE AINA, IEEE/ACIS ICCIS and IEEE ICAINA.
Yang Xiang is currently with the School of Management and Information Systems, Central Queensland University (Australia). His research interests include network security and distributed systems. In particular, he is currently working in a research group developing active defense systems against large-scale network attacks and new Internet security countermeasures. He has served as the PC Chair for the 11th IEEE International Conference on High Performance Computing and Communications (HPCC 2009), the 3rd International Conference on Network and System Security (NSS 2009), and the 14th IEEE International Conference on Parallel and Distributed Systems (ICPADS 2008). He has been PC member for many international conferences such as IEEE ICC, IEEE GLOBECOM and IEEE ICPADS. He is on the editorial board of the Journal of Network and Computer Applications.
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