Recent Advances in Data Mining of Enterprise Data by Evangelos Triantaphyllou
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.
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Author: Evangelos Triantaphyllou
Page Count: 820 pages
Published Date: 01 Feb 2008
Publisher: World Scientific Publishing Co Pte Ltd
Publication Country: Singapore, Singapore
Language: English
ISBN: 9789812779854
Download Link: Recent Advances in Data Mining of Enterprise Data
---------------------------------------------------------------
Author: Evangelos Triantaphyllou
Page Count: 820 pages
Published Date: 01 Feb 2008
Publisher: World Scientific Publishing Co Pte Ltd
Publication Country: Singapore, Singapore
Language: English
ISBN: 9789812779854
Download Link: Recent Advances in Data Mining of Enterprise Data
---------------------------------------------------------------
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.
Read online Recent Advances in Data Mining of Enterprise Data Buy Recent Advances in Data Mining of Enterprise Data Download and read Recent Advances in Data Mining of Enterprise Data for pc, mac, kindle, readers Download to iPad/iPhone/iOS, B&N nook Recent Advances in Data Mining of Enterprise Data ebook, pdf, djvu, epub, mobi, fb2, zip, rar, torrent
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The Fortnightly Review, Volume 66
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