hardcover. Condizione: Good.
hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Hardcover. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
EUR 139,31
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 148,15
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EUR 139,41
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Aggiungi al carrelloCondizione: New. In.
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 165,57
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 183,93
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Aggiungi al carrelloCondizione: New. pp. xix + 479 Illus.
EUR 169,26
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
EUR 189,03
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Aggiungi al carrelloCondizione: New. This books illustrates how data mining techniques, through the application of algorithms and graphs, have been responding to the need for the collection and storage of larger and more complex volumes of data. Editor(s): Cook, Diane J.; Holder, Lawrence B. Num Pages: 500 pages, Illustrations. BIC Classification: PBK. Category: (P) Professional & Vocational. Dimension: 235 x 163 x 33. Weight in Grams: 842. . 2006. 1st Edition. Hardcover. . . . .
Condizione: New. pp. xix + 479.
EUR 162,83
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Aggiungi al carrelloCondizione: New. DIANE J. COOK, PhD, is the Huie-Rogers Chair Professor in the School of Electrical Engineering and Computer Science at Washington State University. Her extensive research in artificial intelligence and data mining has been supported by grants from the Natio.
EUR 218,10
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 500 pages. 9.50x6.25x1.00 inches. In Stock.
EUR 236,74
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Aggiungi al carrelloCondizione: New. This books illustrates how data mining techniques, through the application of algorithms and graphs, have been responding to the need for the collection and storage of larger and more complex volumes of data. Editor(s): Cook, Diane J.; Holder, Lawrence B. Num Pages: 500 pages, Illustrations. BIC Classification: PBK. Category: (P) Professional & Vocational. Dimension: 235 x 163 x 33. Weight in Grams: 842. . 2006. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
EUR 198,75
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Neuware - Discover the latest data mining techniques for analyzing graph dataThis text takes a focused and comprehensive look at an area of data mining that is quickly rising to the forefront of the field: mining data that is represented as a graph. Each chapter is written by a leading researcher in the field; collectively, the chapters represent the latest findings and applications in both theory and practice, including solutions to many of the algorithmic challenges that arise in mining graph data. Following the authors' step-by-step guidance, even readers with minimal background in analyzing graph data will be able to represent data as graphs, extract patterns and concepts from the data, and apply the methodologies presented in the text to real datasets.Mining Graph Data is divided into three parts:\* Part I, Graphs, offers an introduction to basic graph terminology and techniques.\* Part II, Mining Techniques, features a detailed examination of computational techniques for extracting patterns from graph data. These techniques are the state of the art in frequent substructure mining, link analysis, graph kernels, and graph grammars.\* Part III, Applications, describes the application of data mining techniques to four graph-based application domains: chemical graphs, bioinformatics data, Web graphs, and social networks.Practical case studies are included in many of the chapters. An accompanying Web site features source code and datasets, offering readers the opportunity to experiment with the techniques presented in the book as well as test their own ideas on graph data. The Web site also includes the results of many of the techniques presented in the text.This landmark work is intended for students and researchers in computer science, information systems, and data mining who want to learn how to analyze and extract useful patterns and concepts from graph data.
EUR 296,38
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Aggiungi al carrelloHardcover. Condizione: Like New. Like New. book.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 176,27
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 928.
Lingua: Inglese
Editore: John Wiley & Sons Inc, New York, 2006
ISBN 10: 0471731900 ISBN 13: 9780471731900
Da: CitiRetail, Stevenage, Regno Unito
Prima edizione Print on Demand
EUR 160,08
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This text takes a focused and comprehensive look at mining data represented as a graph, with the latest findings and applications in both theory and practice provided. Even if you have minimal background in analyzing graph data, with this book youll be able to represent data as graphs, extract patterns and concepts from the data, and apply the methodologies presented in the text to real datasets. There is a misprint with the link to the accompanying Web page for this book. For those readers who would like to experiment with the techniques found in this book or test their own ideas on graph data, the Web page for the book should be This books illustrates how data mining techniques, through the application of algorithms and graphs, have been responding to the need for the collection and storage of larger and more complex volumes of data. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: Revaluation Books, Exeter, Regno Unito
EUR 199,43
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 500 pages. 9.50x6.25x1.00 inches. In Stock. This item is printed on demand.