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Recent advances in data mining of enterprise data : algorithms and applications /

The main goal of the new field of data mining is the analysis of large and complex datasets. Some very important datasets may be derived from business and industrial activities. This kind of data is known as "enterprise data". The common characteristic of such datasets is that the analyst...

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Автор-организации: International Workshop on Mining of Enterprise Data Como, Italy)
Други автори: Liao, T. Warren 1957-, Triantaphyllou, Evangelos.
Формат: Електронна книга
Език: English
Публикувано: Singapore ; Hackensack, NJ : World Scientific, ℗♭2007.
Серия: Series on computers and operations research ; v. 6.
Предмети:
Онлайн достъп: http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=236063
Подобни документи: Print version:: Recent advances in data mining of enterprise data.
Резюме: The main goal of the new field of data mining is the analysis of large and complex datasets. Some very important datasets may be derived from business and industrial activities. This kind of data is known as "enterprise data". The common characteristic of such datasets is that the analyst wishes to analyze them for the purpose of designing a more cost-effective strategy for optimizing some type of performance measure, such as reducing production time, improving quality, eliminating wastes, or maximizing profit. Data in this category may describe different scheduling scenarios in a manufacturing environment, quality control of some process, fault diagnosis in the operation of a machine or process, risk analysis when issuing credit to applicants, management of supply chains in a manufacturing system, or data for business related decision-making.
Описание на библ. документ: " ... the International Workshop on Mining of Enterprise Data, held on June 23, 2004 at Como, Italy, as part of the Mathematics and Machine Learning (MML) Conference. This edited book is a product evolved from this workshop."--Page 785.
Физически характеристики: 1 online resource (xxxii, 786 pages) : illustrations.
Библиография: Includes bibliographical references and index.
ISBN: 9789812779861
9812779868
981277985X
9789812779854