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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…mehr

Produktbeschreibung
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. TOC:Trends in Data Mining and Knowledge Discovery.- Advanced Methods for the Analysis of Semiconductor Manufacturing Process Data.- Clustering and Visualization of Retail Market Baskets.- Segmentation of Continuous Data Streams Based on a Change Detection Methodology.- Instance Selection Using Evolutionary Algorithms: An Experimental Study.- Using Cooperative Coevolution for Data Mining of Bayesian Networks.- Knowledge Discovery and Data Mining in Medicine.- Satellite Image Classification Using Cascaded Architecture of Neural Fuzzy Network.- Discovery of Positive and Negative Rules from Medical Databases based on Rough Sets.

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  • Produktdetails
  • Verlag: Springer-Verlag GmbH
  • Erscheinungstermin: 31.12.2007
  • Englisch
  • ISBN-13: 9781846281839
  • Artikelnr.: 37342080
Autorenporträt
Nikhil Pal, Indian Statistical Institute, Calcutta, India / Lakhmi C. Jain, University of South Australia, Adelaide, SA. Australia
Inhaltsangabe
Trends in Data Mining and Knowledge Discovery.- Advanced Methods for the Analysis of Semiconductor Manufacturing Process Data.- Clustering and Visualization of Retail Market Baskets.- Segmentation of Continuous Data Streams Based on a Change Detection Methodology.- Instance Selection Using Evolutionary Algorithms: An Experimental Study.- Using Cooperative Coevolution for Data Mining of Bayesian Networks.- Knowledge Discovery and Data Mining in Medicine.- Satellite Image Classification Using Cascaded Architecture of Neural Fuzzy Network.- Discovery of Positive and Negative Rules from Medical Databases based on Rough Sets.
Rezensionen
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)