- Author:
- Bhavani Thuraisingham
From the Publisher:
Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and future challenges.. "Is there a need for mining__ __ Do you have the right tools__ __ Do you have the people to do the work__ __ Do you have sufficient funds allocated to the project__ __ All these questions must be answered before embarking on a project. Data Mining provides singular guidance on appropriate applications for specific techniques as well as thoroughly assesses valuable product information.
Cited By
- Saraçoğlu R, Tütüncü K and Allahverdi N (2008). A new approach on search for similar documents with multiple categories using fuzzy clustering, Expert Systems with Applications: An International Journal, 34:4, (2545-2554), Online publication date: 1-May-2008.
- Saraçoğlu R, Tütüncü K and Allahverdi N (2007). A fuzzy clustering approach for finding similar documents using a novel similarity measure, Expert Systems with Applications: An International Journal, 33:3, (600-605), Online publication date: 1-Oct-2007.
- Thuraisingham B (2005). Security standards for the semantic web, Computer Standards & Interfaces, 27:3, (257-268), Online publication date: 1-Mar-2005.
- Kroeze J, Matthee M and Bothma T Differentiating data- and text-mining terminology Proceedings of the 2003 annual research conference of the South African institute of computer scientists and information technologists on Enablement through technology, (93-101)
- Ceruti M (2003). Data Management Challenges and Development for Military Information Systems, IEEE Transactions on Knowledge and Data Engineering, 15:5, (1059-1068), Online publication date: 1-Sep-2003.
Thuraisingham B (2002). Data mining, national security, privacy and civil liberties, ACM SIGKDD Explorations Newsletter, 4:2, (1-5), Online publication date: 1-Dec-2002.- Zhang G and Athalye S A study of technical challenges in relocation of a manufacturing site Data mining for design and manufacturing, (465-486)
- Lu J Methodology of mining massive data sets for improving manufacturing quality/efficiency Data mining for design and manufacturing, (255-288)
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