{"product_id":"9780792380481","title":"Advances in Database Systems","description":"\u003ch1\u003eAdvances in Database Systems\u003c\/h1\u003e \u003ch2\u003eFreitas, Alex A.; Lavington, Simon H.\u003c\/h2\u003e \u003cp\u003e\u003cem\u003eMining Very Large Databases with Parallel Processing\u003c\/em\u003e  addresses the problem of large-scale data mining. It is an  interdisciplinary text, describing advances in the integration of  three computer science areas, namely `intelligent' (machine  learning-based) data mining techniques, relational databases and  parallel processing. The basic idea is to use concepts and techniques  of the latter two areas - particularly parallel processing  - to speed up and scale up data mining algorithms. \u003cbr\u003e  The book is divided into three parts. The first part presents a  comprehensive review of intelligent data mining techniques such as  rule induction, instance-based learning, neural networks and genetic  algorithms. Likewise, the second part presents a comprehensive review  of parallel processing and parallel databases. Each of these parts  includes an overview of commercially-available, state-of-the-art  tools. The third part deals with the application of parallel  processing to data mining. The emphasis is on finding generic,  cost-effective solutions for realistic data volumes. Two parallel  computational environments are discussed, the first excluding the use  of commercial-strength DBMS, and the second using parallel DBMS  servers. \u003cbr\u003e  It is assumed that the reader has a knowledge roughly equivalent to a  first degree (BSc) in accurate sciences, so that (s)he is reasonably  familiar with basic concepts of statistics and computer science. \u003cbr\u003e  The primary audience for \u003cem\u003eMining Very Large Databases with  Parallel\u003c\/em\u003e \u003cem\u003eProcessing\u003c\/em\u003e is industry data miners and practitioners  in general, who would like to apply intelligent data mining techniques  to large amounts of data. The book will also be of interest to  academic researchers and postgraduate students, particularly database  researchers, interested in advanced, intelligent database  applications, and artificial intelligence researchers interested in  industrial, real-world applications of machine learning.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 1997-11-30\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9780792380481\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-1-4615-5521-6\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 208\u003c\/p\u003e ","brand":"Springer US","offers":[{"title":"Default Title","offer_id":46311632928908,"sku":"9780792380481","price":197.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780792380481.jpg?v=1771509076","url":"https:\/\/lateknightbooks.com\/products\/9780792380481","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}