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Titlebook: Computer Aided Decision Support in Telecommunications; P. G. Flavin,K. A. E. Totton Book 1996 British Telecommunications plc 1996 communic

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發(fā)表于 2025-3-21 17:05:34 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computer Aided Decision Support in Telecommunications
編輯P. G. Flavin,K. A. E. Totton
視頻videohttp://file.papertrans.cn/234/233300/233300.mp4
叢書名稱BT Telecommunications Series
圖書封面Titlebook: Computer Aided Decision Support in Telecommunications;  P. G. Flavin,K. A. E. Totton Book 1996 British Telecommunications plc 1996 communic
描述In bringing together this book, the editors have kept two goalsin mind. Firstly, the goal of educating the reader by giving aninsightinto the wealth of computing and mathematical techniques nowbeingused to build decision support systems. Secondly, of aiming tostimulate the imagination by including an eclectic mix ofcontributions from a wide range of business areas to demonstrate thatthere is no field in which modern decision support techniques cannotusefully be applied. The quintessence of decision support systems isthat they are designed to assist people in establishing the bestcourse of action in a given situation but not to automate or tellthem prescriptively how to achieve a goal.
出版日期Book 1996
關(guān)鍵詞communication; data mining; information; telecommunications; visualization
版次1
doihttps://doi.org/10.1007/978-94-009-0081-3
isbn_softcover978-94-010-6524-5
isbn_ebook978-94-009-0081-3
copyrightBritish Telecommunications plc 1996
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Data Mining Applications,es is already too large for manual analysis and, as they grow, the problem is compounded. Furthermore, in many companies data is held only as a record or archive. BT has huge volumes of data from 20 million customer accounts, call records, equipment records and fault logs. Potentially valuable infor
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Information Access for Decision Makers,on plays an important part in this process (see Chapter 1), and the assumption is that increasingly people will rely on the use of powerful personal computers (PCs) to access computer-based information sources via communications networks. Such networked systems are now seen as the source of much of
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Planning Beneficial and Profitable Network Upgrade Paths,ediately achieves maximum customer satisfaction, it is prohibitively expensive. The task is clearly a constrained resource allocation problem. This chapter describes briefly a number of novel approaches to searching that are suited to this class of optimization problem, and shows the results obtaine
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