knowledge discovery multiple databases von zhang shichao (10 Ergebnisse)

Zustand: New. pp. 250 Illus.

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Many organizations have an urgent need of mining their multiple databases inherently distributed in branches (distributed data). In particular, as the Web is rapidly becoming an information flood, individuals and organizations can take into account low-cost information and knowledge on the Internet when making decisions. How to efficiently identify quality knowledge from different data sources has become a significant challenge. This challenge has attracted a great many researchers including the au thors who have developed a local pattern analysis, a new strategy for dis covering some kinds of potentially useful patterns that cannot be mined in traditional multi-database mining techniques. Local pattern analysis deliv ers high-performance pattern discovery from multiple databases. There has been considerable progress made on multi-database mining in such areas as hierarchical meta-learning, collective mining, database classification, and pe culiarity discovery. While these techniques continue to be future topics of interest concerning multi-database mining, this book focuses on these inter esting issues under the framework of local pattern analysis. The book is intended for researchers and students in data mining, dis tributed data analysis, machine learning, and anyone else who is interested in multi-database mining. It is also appropriate for use as a text supplement for broader courses that might also involve knowledge discovery in databases and data mining.

Zustand: New. In.

Zustand: New. In.

Gebunden. Zustand: New. The only book that covers the emerging topic of multiple database mining Focuses on developing new techniques for multi-database miningUrgent need to analyse data in multi-databases as a great deal of multi-databases are widely used in orga.

Buch. Zustand: Neu. Neuware - Many organizations have an urgent need of mining their multiple databases inherently distributed in branches (distributed data). In particular, as the Web is rapidly becoming an information flood, individuals and organizations can take into account low-cost information and knowledge on the Internet when making decisions. How to efficiently identify quality knowledge from different data sources has become a significant challenge. This challenge has attracted a great many researchers including the au thors who have developed a local pattern analysis, a new strategy for dis covering some kinds of potentially useful patterns that cannot be mined in traditional multi-database mining techniques. Local pattern analysis deliv ers high-performance pattern discovery from multiple databases. There has been considerable progress made on multi-database mining in such areas as hierarchical meta-learning, collective mining, database classification, and pe culiarity discovery. While these techniques continue to be future topics of interest concerning multi-database mining, this book focuses on these inter esting issues under the framework of local pattern analysis. The book is intended for researchers and students in data mining, dis tributed data analysis, machine learning, and anyone else who is interested in multi-database mining. It is also appropriate for use as a text supplement for broader courses that might also involve knowledge discovery in databases and data mining.

Zustand: New. 2012. Softcover reprint of the original 1st ed. 2004. Paperback. Series: Advanced Information and Knowledge Processing. Num Pages: 245 pages, 40 black & white tables, biography. BIC Classification: UB; UNH. Category: (P) Professional & Vocational. Dimension: 236 x 157 x 13. Weight in Grams: 366. . . . . . Books ship from the US and Ireland.

Zustand: New. A state of the art research monograph that develops the specific and increasingly important area of multiple database mining. Series: Advanced Information and Knowledge Processing. Num Pages: 245 pages, 40 black & white tables, biography. BIC Classification: UN. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 15. Weight in Grams: 1170. . 2004. Hardback. . . . . Books ship from the US and Ireland.