Exploring Advances in Interdisciplinary Data Mining and Analytics

Data mining is still a relatively young field, expanding at the rate of technology while advancing tools and techniques for gaining knowledge, finding patterns, and managing databases. Exploring Advances in Interdisciplinary Data Mining and Analytics: New Trends is an updated look at the state of technology in the field of data mining and analytics. As processor speeds, database size, network capabilities, artificial intelligence, and most fields of hardware and software continue to improve at a staggering rate of increased capability and pace, it is vital for practitioners to stay abreast of the current issues and research in the field. This volume is perfect for IT specialists, data analysts, practitioners and academics alike, offering the latest technological, analytical, ethical, and commercial perspectives on topics in data mining.

David Taniar received a PhD degree in databases from Victoria University (Australia, 1997). He is now a senior lecturer at Monash University (Australia). He has published more than 100 research articles and edited a number of books in the Web technology series. He is in the editorial board of a number of international journals, including Data Warehousing and Mining, Business Intelligence and Data Mining, Mobile Information Systems, Mobile Multimedia, Web Information Systems and Web and Grid Services. He has been elected as a Fellow of the Institute for Management of Information Systems (UK).

Lukman Hakim Iwan is a PhD student at the school of computer science and IT, RMIT University, Australia. He received a bachelor degree from Padjadjaran University, Indonesia and MCS degree from Monash University, Australia both in Computer Science. His research interests include data mining, pattern mining, information retrieval and video processing.