Innovative Applications in Data Mining

Nadia Nedjah

ISBN 10: 3642099769 / ISBN 13: 9783642099762

Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Okt 2010, 2010

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This item is printed on demand - Print on Demand Titel. Neuware -Data mining consists of attempting to discover novel and useful knowledge from data, trying to find patterns among datasets that can help in intelligent decision making. However, reports of real-world case studies are not generally detailed in the literature, due to the fact that they are usually based on proprietary datasets, making it impossible to publish the results. This kind of situation makes hard to evaluate, in a precise way, the degree of effectiveness of data mining techniques in real-world applications. On the other hand, researchers of this field of expertise usually exploit public-domain datasets. This volume offers a wide spectrum of research work developed for data mining for real-world application. In the following, we give a brief introduction of the chapters that are included in this book.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 140 pp. Englisch.

Codice articolo 9783642099762

Dati bibliografici

• Titolo: Innovative Applications in Data Mining
• Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Okt 2010
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 3642099769
• ISBN 13: 9783642099762
• Rilegatura: Taschenbuch
• Condizione: Neu

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Riassunto

Data mining consists of attempting to discover novel and useful knowledge from data, trying to find patterns among datasets that can help in intelligent decision making. However, reports of real-world case studies are not generally detailed in the literature, due to the fact that they are usually based on proprietary datasets, making it impossible to publish the results. This kind of situation makes hard to evaluate, in a precise way, the degree of effectiveness of data mining techniques in real-world applications. On the other hand, researchers of this field of expertise usually exploit public-domain datasets.

This volume offers a wide spectrum of research work developed for data mining for real-world application. In the following, we give a brief introduction of the chapters that are included in this book.