TY  - BOOK
AU  - Bhavani Thuraisingham
AU  -  	    
TI  - Data Mining: Technologies, Techniques, Tools, and Trends
SN  - 9780849318153
U1  - 006.3 THU-D 
PY  - 1999///
CY  -  	Boca Raton
PB  - CRC Press
KW  - Database Management . Data Mining
N1  - Special Indian Edition;  	What is Data Mining? -- Data Mining Technologies -- Concepts and Techniques in Data Mining -- Directions and Trends in Data Mining -- Technologies for Data Mining -- Database Systems -- Data Models -- Relational Data Model -- Entity-Relationship Data Model -- Object-Oriented Data Model -- Object Relational Data Model -- Logic-Based Data Model -- Architectural Issues -- Database Design -- Database Administration -- Database Management System Functions -- Query Processing -- Transaction Management -- Storage Management -- Metadata Management -- Database Integrity -- Database Security -- Fault Tolerance -- Database Systems and Mining -- Architectural, Modeling, Design and Administration Aspects -- Data Mining and Database Functions -- Data Warehousing -- Technologies for Data Warehousing -- Developing the Data Warehouse -- Data Warehousing and Data Mining -- Some Other Technologies for Data Mining -- Statistical Reasoning -- Machine Learning -- Visualization -- Parallel Processing -- Decision Support -- Architectural Support for Data Mining -- Integration with Other Technologies -- Functional Architecture -- System Architecture -- Client-Server Technology -- Relationship to Mining -- Techniques and Tools for Data Mining -- The Process of Data Mining -- Steps to Data Mining -- Challenges -- User Interface Aspects -- Data Mining Outcomes, Approaches, and Techniques -- Outcomes of Data Mining -- Approaches to Data Mining -- Data Mining Techniques and Algorithms -- Logic Programming as a Data Mining Technique
N2  -  	 "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."--BOOK JACKET. "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."--Jacket
ER  -