Recent Advances In Data Mining Of Enterprise Data: Algorithms And Applications
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A01=Evangelos Triantaphyllou
A01=T Warren Liao
Author_Evangelos Triantaphyllou
Author_T Warren Liao
Category=UNC
Credit Risk Analysis
Data Mining and Knowledge Discovery
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eq_computing
eq_isMigrated=1
eq_isMigrated=2
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eq_non-fiction
Mining of Credit Data
Mining of Enterprise Data
Product details
- ISBN 9789812779854
- Publication Date: 16 Jan 2008
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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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.
