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 a...

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Những tác giả chính:	Liao, T Warren, Triantaphyllou, Evangelos
Định dạng:	Sách
Ngôn ngữ:	English
Được phát hành:	World Scientific Publishing Co. Pte. Ltd. 2011
Những chủ đề:	Tin học Database
Truy cập trực tuyến:	http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/25948
Các nhãn:	Thêm thẻ Không có thẻ, Là người đầu tiên thẻ bản ghi này!

Thư viện lưu trữ:	Thư viện Trường Đại học Đà Lạt

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spelling	oai:scholar.dlu.edu.vn:DLU123456789-259482012-03-03T04:33:29Z Recent Advances In Data Mining Of Enterprise Data Liao, T Warren Triantaphyllou, Evangelos Tin học Database 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 2011-09-21T08:15:30Z 2011-09-21T08:15:30Z 2007 Book 978-981-277-985-4 981-277-985-X http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/25948 en application/pdf World Scientific Publishing Co. Pte. Ltd.
institution	Thư viện Trường Đại học Đà Lạt
collection	Thư viện số
language	English
topic	Tin học Database
spellingShingle	Tin học Database Liao, T Warren Triantaphyllou, Evangelos Recent Advances In Data Mining Of Enterprise Data
description	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
format	Book
author	Liao, T Warren Triantaphyllou, Evangelos
author_facet	Liao, T Warren Triantaphyllou, Evangelos
author_sort	Liao, T Warren
title	Recent Advances In Data Mining Of Enterprise Data
title_short	Recent Advances In Data Mining Of Enterprise Data
title_full	Recent Advances In Data Mining Of Enterprise Data
title_fullStr	Recent Advances In Data Mining Of Enterprise Data
title_full_unstemmed	Recent Advances In Data Mining Of Enterprise Data
title_sort	recent advances in data mining of enterprise data
publisher	World Scientific Publishing Co. Pte. Ltd.
publishDate	2011
url	http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/25948
_version_	1757677202751619072

Recent Advances In Data Mining Of Enterprise Data

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