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Advanced Techniques in Knowledge Discovery and Data Mining (Advanced Information and Knowledge Processing) [9781852338671]

Hardcover
SKU: 9781852338671
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Format Sturdy and long-lasting. Ideal for libraries and classrooms, and a polished choice for corporate gifts, leadership programs, or event takeaways.

Price $109.99

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Overview

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].

The book, Advanced Techniques in Knowledge Discovery and Data Mining (Advanced Information and Knowledge Processing) [Bulk, Wholesale, Quantity] ISBN#9781852338671 in Hardcover by may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Format:
Hardcover
Publication Date:
07/01/2005
ISBN-13:
9781852338671
Pages:
256
Publisher:
Springer London

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