Advanced Techniques in Knowledge Discovery and Data Mining (inbunden)

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Format: Inbunden (Hardback)
Språk: Engelska
Antal sidor: 256
Utgivningsdatum: 2005-07-01
Upplaga: 2005 ed.
Förlag: Springer London Ltd
Medarbetare: Pal, Nikhil R. (ed.), Jain, Lakhmi C. (ed.)
Illustratör/Fotograf: 101 illus
Illustrationer: XII, 256 p.
Dimensioner: 243 x 156 x 18 mm
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Antal komponenter: 1
Komponenter: 1 Hardback
ISBN: 9781852338671

Advanced Techniques in Knowledge Discovery and Data Mining

Name: Advanced Techniques in Knowledge Discovery and Data Mining
Price: 1505.00 SEK
Availability: InStock
Author: Nikhil Pal
ISBN: 9781852338671

av Nikhil Pal

Inbunden, Engelska, 2005-07-01

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Data mining and knowledge discovery (DMKD) is a rapidly expanding field in computer science. It has become very important because of an increased demand for methodologies and tools that can help the analysis and understanding of huge amounts of data generated on a daily basis by institutions like hospitals, research laboratories, banks, insurance companies, and retail stores and by Internet users. This explosion is a result of the growing use of electronic media. But what is data mining (DM)? A Web search using the Google search engine retrieves many (really many) definitions of data mining. We include here a few interesting ones. One of the simpler definitions is: As the term suggests, data mining is the analysis of data to establish relationships and identify patterns [1]. It focuses on identifying relations in data. Our next example is more elaborate: An information extraction activity whose goal is to discover hidden facts contained in databases. 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. Typical applications include market segmentation, customer profiling, fraud detection, evaluation of retail promotions, and credit risk analysis [2].

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Fuzzy Models and Algorithms for Pattern Recognition and Image Processing

James C Bezdek, James Keller, Raghu Krisnapuram, Nikhil Pal

Fuzzy Models and Algorithms for Pattern Recognition and Image Processing presents a comprehensive introduction of the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision. Unique to this volume in ...

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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 books 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)

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.