Methodology of mining massive data sets for improving manufacturing quality/efficiency
Data mining for design and manufacturing
A study of technical challenges in relocation of a manufacturing site
Data mining for design and manufacturing
Data mining, national security, privacy and civil liberties
ACM SIGKDD Explorations Newsletter
Data Management Challenges and Development for Military Information Systems
IEEE Transactions on Knowledge and Data Engineering
Differentiating data- and text-mining terminology
SAICSIT '03 Proceedings of the 2003 annual research conference of the South African institute of computer scientists and information technologists on Enablement through technology
Privacy constraint processing in a privacy-enhanced database management system
Data & Knowledge Engineering
Standards for secure data sharing across organizations
Computer Standards & Interfaces
A fuzzy clustering approach for finding similar documents using a novel similarity measure
Expert Systems with Applications: An International Journal
Security and privacy for multimedia database management systems
Multimedia Tools and Applications
A new approach on search for similar documents with multiple categories using fuzzy clustering
Expert Systems with Applications: An International Journal
Designing evolving user profile in e-CRM with dynamic clustering of Web documents
Data & Knowledge Engineering
Security standards for the semantic web
Computer Standards & Interfaces
Improving the understanding of BAM technology for real-time decision support
International Journal of Business Information Systems
Policy Enforcement System for Inter-Organizational Data Sharing
International Journal of Information Security and Privacy
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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.