Advanced Techniques in Knowledge Discovery and Data Mining (Hardcover)

Nikhil Pal

ISBN 10: 1852338679 / ISBN 13: 9781852338671

Editore: Springer London Ltd, England, 2005

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Hardcover. This book presents research on some of the most recent advances in data mining and knowledge discovery, providing theory as well as its applications on practical real world applications. The methodologies discussed encompass tools like Bayesian networks, and major facets of computational intelligence paradigms. Contributions from top class researchers include: - Recent trends in data mining and knowledge discovery - Advanced data mining techniques in semi-conductor manufacturing - Clustering and visualization in retail markets baskets - Segmentation of continuous data - Instance selection using evolutionary algorithms - Cooperative co-evolution for data mining of Bayesian networks - Knowledge discovery and data mining in medicine - Satellite image classification - Knowledge discovery using rough sets This book presents both practical detail and some of the most up-to-date theory in the field, useful for postgraduates and those who wish to develop applications using advanced data mining and knowledge discovery techniques. Using a combination of machine learning, statistical analysis, modeling techniques and database technology, data mining finds patterns and subtle relationships in data and infers rules that allow the prediction of future results. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Codice articolo 9781852338671

Dati bibliografici

• Titolo: Advanced Techniques in Knowledge Discovery and Data Mining (Hardcover)
• Editore: Springer London Ltd, England
• Data di pubblicazione: 2005
• Lingua: Inglese
• ISBN 10: 1852338679
• ISBN 13: 9781852338671
• Rilegatura: Hardcover
• Condizione: new

Descrizione articolo

Riassunto

Clear and concise explanations to understand the learning paradigms.

Chapters written by leading world experts.

Recensione

From the reviews:

"This book presents research on some of the recent advances in the field of DMKD, and provides a glimpse into some real-world applications. ... book starts with a preface by the editors, including background information as well as an overview of the book’s contents. ... The overall layout and the length of the volume ... appear to be satisfactory. ... postgraduate students and the faculty members in the business intelligence or DMKD fields would find this volume to be a useful addition to their libraries." (C. S. Arora, Computing Reviews, April, 2006)