Developing Multi-Database Mining Applications - Softcover
Buch 24 von 66: Advanced Information and Knowledge Processing
Biografía del autor
Animesh Adhikari is an associate professor in the department of Computer Science, Chowgule College, Goa, India. His education includes: Doctor of Philosophy in Computer Science, Goa University, Goa, India (2009); Master of Technology in Computer Science, Indian Statistical Institute, Kolkata, India (1993); Master of Computer Application, Jadavpur University, Kolkata, India (1991). The dissertations he has written cover: [Ph D] Knowledge Discovery in Databases with an Emphasis on Multiple Large Databases (Goa University, 2009). This dissertation has the following parts: (i) Association analysis and patterns recognition in a database, (ii) Pattern recognition in multiple databases, (iii) Developing better multi-database mining applications; [M Tech] Fractal-based Image Segmentation (Indian Statistical Institute, 1993). Adhikari's areas of interest include: data mining and knowledge discovery, database systems, decision support systems, artificial intelligence, statistics and other related topics. Adhikari's professional activities are: Member, Program Committee, Indian International Conference on Artificial Intelligence (2009) Session Chair, Data Mining and Knowledge Discovery, Indian International Conference on Artificial Intelligence (2009); Reviewer, IEEE Transactions on Knowledge and Data Engineering journal; Member, Editorial Board, International Journal of Knowledge-Based Organizations, IGI Global (2009 - date); Member, Program Committee, Ph D Workshop; International Conference on Management of Data (2009); Reviewer, IEEE Transactions on Parallel and Distibuted Systems journal. Witold Pedrycz is a Professor and Canada Research Chair (CRC) in Computational Intelligence in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. Dr. Pedrycz is an IEEE Fellow, IFSA Fellow and a Fellow of the Engineering Institute of Canada (EIC). Dr. Pedrycz received the M.Sc, and Ph.D, D.Sci
Reseña del editor
Multi-database mining has been recognized recently as an important and strategically essential area of research in data mining. In this book, we discuss various issues regarding the systematic and efficient development of multi-database mining applications. It explains how systematically one could prepare data warehouses at different branches. As appropriate multi-database mining technique is essential to develop better applications. Also, the efficiency of a multi-database mining application could be improved by processing more patterns in the application. A faster algorithm could also play an important role in developing a better application. Thus the efficiency of a multi-database mining application could be enhanced by choosing an appropriate multi-database mining model, an appropriate pattern synthesizing technique, a better pattern representation technique, and an efficient algorithm for solving the problem. This book illustrates each of these issues either in the context of a specific problem, or in general.
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