Data Mining : Technologies, Techniques, Tools, and Trends
Book Details
Format
Hardback or Cased Book
ISBN-10
0849318157
ISBN-13
9780849318153
Publisher
Taylor & Francis Inc
Imprint
CRC Press Inc
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Dec 18th, 1998
Print length
288 Pages
Weight
586 grams
Product Classification:
Databases
Ksh 26,100.00
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Focusing on a data-centric perspective, this is an overview of data mining: its uses, methods, current technologies, commercial products, and future challenges. It describes technologies for data mining database systems, presents tools and techniques, and examines emerging trends.
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.
Three parts divide Data Mining:
Part I describes technologies for data mining - database systems, warehousing, machine learning, visualization, decision support, statistics, parallel processing, and architectural support for data mining
Part II presents tools and techniques - getting the data ready, carrying out the mining, pruning the results, evaluating outcomes, defining specific approaches, examining a specific technique based on logic programming, and citing literature and vendors for up-to-date information
Part III examines emerging trends - mining distributed and heterogeneous data sources; multimedia data, such as text, images, video; mining data on the World Wide Web; metadata aspects of mining; and privacy issues.
This self-contained book also contains two appendices providing exceptional information on technologies, such as data management, and artificial intelligence.
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 answers 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.
Three parts divide Data Mining:
This self-contained book also contains two appendices providing exceptional information on technologies, such as data management, and artificial intelligence.
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 answers 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.
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