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Microsoft data mining : integrated business intelligence for e-Commerce and knowledge management

Author: Barry De Ville
Publisher: Boston : Digital Press, ©2001.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

Approaches data mining from the perspective of IT professionals using Microsoft data management technologies. This work explains the data mining capabilities in Microsoft's SQL Server 2000 database,  Read more...

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Genre/Form: Einführung
Additional Physical Format: Online version:
De Ville, Barry.
Microsoft data mining.
Boston : Digital Press, ©2001
(OCoLC)606519348
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Barry De Ville
ISBN: 1555582427 9781555582425
OCLC Number: 45137493
Notes: Includes index.
Description: xx, 315 : illustrations ; 24 cm
Contents: Something old, something new --
Microsoft's approach to developing the right set of tools --
Benefits of data mining --
Microsoft's entry into data mining --
Concept of operations --
The Data Mining Process --
Best practices in knowledge discovery in databases --
The scientific method and the paradigms that come with it --
How to develop your paradigm --
The data mining process methodology --
Business understanding --
Data understanding --
Data preparation --
Modeling --
Evaluation --
Deployment --
Performance measurement --
Collaborative data mining: the confluence of data mining and knowledge management --
Data Mining Tools and Techniques --
Microsoft's entry into data mining --
The Microsoft data mining perspective --
Data mining and exploration (DMX) projects --
OLE DB for data mining architecture --
The Microsoft data warehousing framework and alliance --
Data mining tasks supported by SQL Server 2000 Analysis Services --
Other elements of the Microsoft data mining strategy --
Managing the Data Mining Project --
The mining mart --
Unit of analysis --
Defining the level of aggregation --
Defining metadata --
Calculations --
Standardized values --
Transformations for discrete values --
Aggregates --
Enrichments --
Example process (target marketing) --
The data mart --
Modeling Data --
The database --
Problem scenario --
Setting up analysis services --
Defining the OLAP cube --
Adding to the dimensional representation --
Building the analysis view for data mining --
Setting up the data mining analysis.
Responsibility: Barry de Ville.
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