Microsoft Data Mining integrated business intelligence for e commerc and knowledge phần 6 pdf

... successful enterprise outcomes Experience Capture Experience Capture Knowledge Organization Knowledge Organization Knowledge Retrieval Knowledge Retrieval Data Data Business Intelligence Business Intelligence Data Mining Data Mining Verification/Validation Verification/Validation information information Enterprise Goals, Objectives Enterprise Goals, Objectives Succes...

Ngày tải lên: 08/08/2014, 22:20

... activities: the desire to summarize experience in some numeric or symbolic form so as to describe it better and preserve both meaning and experience. As soon as we describe and preserve experience ... knowledge and the ability to foresee and shape future events. Data mining, by providing more information about the market, goes to the heart of the competitive advantage enjoyed b...

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... throughout the enterprise and organizing these data for decision making and knowledge extraction. So, the repository is the host for information delivery, business intelligence, and knowledge discovery. ... makes it pretty clear where the extreme values are since they deviate visually from the mass of points on the diagram. There are theoretical methods to determine whether...

Ngày tải lên: 08/08/2014, 22:20

... in the data set) 3. The response (there are 9,934 responses in the data set: 8,075 for the e- commerce conference [55 percent]; 1, 467 for the Java con- ference [10 percent], and 392 for the Windows ... Figure 5.34, select the Conference table from the available tables. Click Next. Once you select the Conference database, the associated tables and views will become available....

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... (“Inactive”) and 1 (“Active”). Recently, the interest in and awareness of the role of metadata in success- ful enterprise knowledge, data management, and business intelligence has grown to the point ... are several techniques for the same data mining problem type. Some techniques have specific requirements on the form of data. 2.8.1 Outcome and cluster-based methods Da...

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... this knowledge has led to the development of the discipline of knowledge management. Data- derived knowledge, sometimes called explicit knowledge, and knowledge contained in people’s heads, sometimes ... sale, or, potentially, to pre- vent a defection). This requires a tight link between the data warehouse, where the data elements are collected and stored, the touch point col...

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... Reports Knowledge Development tools Knowledge Development tools Knowledge Discovery Knowledge Management Knowledge Dissemination Knowledge Discovery Knowledge Management Knowledge Dissemination Integrated ... components of the tacit (experiential) management of knowledge. Figure 7 .6 General architecture for the implementation of a knowledge management framework Know...

Ngày tải lên: 08/08/2014, 22:20

... reuse) as well as executed effi- ciently on large data sets.  Compare the different data mining approaches with respect to their input requirements.  Compare different (logical) representations ... each data file is the name of the data set used in the book. To find the description of the data set in the book look under the entry data, name” in the index. For example, one...

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... www.esker.com 405 -62 4-8000 eTEK International Open database, web- enabled client/server accounting www.etek.net 303 -62 7-4737 European Management Systems ActiveAnalyst 1.0 dpmlee@euroman.co.uk Evolutionary ... info@crossroads-software.com 65 0 -68 5-9 966 CubeNet Internet Services, Inc. E- Commerce Solutions for MAS 90 949- 766 -0831 CurrentView Imaging and dcoument management...

Ngày tải lên: 08/08/2014, 22:20

... DM (data mining) architecture, 65 –71 concept of operations, 69 concepts/features, 65 67 data mining model, 65 67 defined, 65 design, 65 high level view, 65 , 66 implementation, 69 –71 implementation ... Server and the Microsoft SQL Server database, the solution integrates and manages vital service delivery processes. http://www .microsoft. com /BUSINESS/ km/resour...

Ngày tải lên: 08/08/2014, 22:20