[PDF] Data Mining With Microsoft Sql Server 2000 eBook

Author : Claude Seidman
Publisher :
Page : 0 pages
File Size : 42,72 MB
Release : 2001
Category : Data mining
ISBN : 9780735612716

GET BOOK

The amount of information stored in corporate databases is exploding exponentially. Data mining--finding meaningful patterns in all that data--can give any organization a competitive advantage. This book is the in-depth reference from Microsoft for anyone who wants to take full advantage of the powerful data-mining features in SQL Server 2000. It examines the SQL Server 2000 Analysis Services architecture and shows how data mining fits into its complete suite of information-extraction technologies. Then it demonstrates how to structure and mine large databases with the algorithms included with SQL Server 2000 to find nuggets of useful information. It even shows how to create a practice data-mining model using data downloaded from a database. Coverage includes: INTRODUCTION TO DATA MINING: What data mining is and isn't, plus important principles and definitions behind data-mining methodologies, including the role of data-mining models, statistics, and algorithms SQL SERVER 2000 ARCHITECTURE: How data mining fits into the SQL Server 2000 Analysis Services architecture and how it builds on the SQL Server 2000 relational database and its embedded online analytical processing (OLAP) engine DATA-MINING METHODS: How to choose the best data-mining method for the job--decision trees or clustering EASE OF USE FEATURES: How to use the Mining Model Wizard and the OLAP Mining Model Editor to simplify creating, training, and processing a model PROGRAMMING THE DATA-MINING SERVICES: How to use data-mining models and Data Transformation Services, PivotTable Services, decision-support objects (DSO), PERL, Visual Basic, Scripting Edition, XML, and other tools and languages to work with the data-mining engine

Author : Barry de Ville
Publisher : Digital Press
Page : 344 pages
File Size : 41,28 MB
Release : 2001-05
Category : Computers
ISBN : 9781555582425

GET BOOK

This guide teaches data mining from the perspective of IT professionals using Microsoft data management and e-commerce technologies. The book explains major new data mining capabilities in the forthcoming SQL Server 2000, Microsoft Commerce Server, and other products, and details the new Microsoft standard, "OLE DB for Data Mining".

Author : Claudio Luiz Curotto
Publisher : WIT Press
Page : 161 pages
File Size : 25,94 MB
Release : 2005
Category : Computers
ISBN : 1845640373

GET BOOK

"All source codes, as well as data sets used in computational experiments, are included in the accompanying CD-ROM." -- p. [xv]

Author : Syngress
Publisher : Elsevier
Page : 754 pages
File Size : 41,74 MB
Release : 2001-01-23
Category : Computers
ISBN : 0080477194

GET BOOK

The Microsoft .NET initiative is the future of e-commerce - making it possible for organisations to build a secure, reliable e-commerce infrastructure. This is the first book to outline the capabilities of SQL Server 2000, one of the key components of .NET. SQL Server 2000 introduces powerful new data mining functionality designed specifically to capture and process customer profiles and to predict future buying patterns on e-commerce sites. Designing SQL Server 2000 Databases addresses the needs of IT professionals migrating from the popular SQL 7 databases to the new SQL 2000, as well as those who are starting from scratch. Covers all key features of SQL Server 2000 including; XML support, enhanced data-mining capabilities and integration with Windows 2000 While there are many books available on SQL 7 - this is the first to be announced for SQL 2000 Free ongoing customer support and information upgrades

Author : Jamie MacLennan
Publisher : John Wiley & Sons
Page : 14 pages
File Size : 20,42 MB
Release : 2011-03-10
Category : Computers
ISBN : 1118080009

GET BOOK

Eine praxisorientierte Einführung in das Data Mining Toolset des SQL Server 2008 und die neuen Data Mining Add-Ins für Office 2007. Enthält detaillierte Erläuterungen und Beispiele zu allen neuen Data Mining Features des SQL Server 2008. Gibt präzise Anleitungen zum Arbeiten mit den wichtigsten Data Mining-Algorithmen, (Naive Bayes-, Decision Trees-, Time Series-, Sequence Clustering-, Association- und Neural Network-Algorithmus), zum Data Mining in OLAP Datenbanken und mit SQL Server Integration Services 2008. Die begleitende Website enthält den kompletten Quellcode zu den Beispielen aus dem Buch.

Author : ZhaoHui Tang
Publisher : John Wiley & Sons
Page : 482 pages
File Size : 23,61 MB
Release : 2005-10-03
Category : Computers
ISBN : 0471754684

GET BOOK

Your in-depth guide to using the new Microsoft data mining standard to solve today's business problems Concealed inside your data warehouse and data marts is a wealth of valuable information just waiting to be discovered. All you need are the right tools to extract that information and put it to use. Serving as your expert guide, this book shows you how to create and implement data mining applications that will find the hidden patterns from your historical datasets. The authors explore the core concepts of data mining as well as the latest trends. They then reveal the best practices in the field, utilizing the innovative features of SQL Server 2005 so that you can begin building your own successful data mining projects. You'll learn: The principal concepts of data mining How to work with the data mining algorithms included in SQL Server data mining How to use DMX-the data mining query language The XML for Analysis API The architecture of the SQL Server 2005 data mining component How to extend the SQL Server 2005 data mining platform by plugging in your own algorithms How to implement a data mining project using SQL Server Integration Services How to mine an OLAP cube How to build an online retail site with cross-selling features How to access SQL Server 2005 data mining features programmatically

Author : Claude Seidman
Publisher :
Page : 384 pages
File Size : 35,74 MB
Release : 2001
Category :
ISBN :

GET BOOK

This book examines the SQL ServerTM 2000 Analysis Services architecture and shows how data mining fits into its complete suite of information-extraction technologies. Then it demonstrates how to find nuggets of useful information with SQL Server.

Author : Rahul Sharma
Publisher : Addison-Wesley Professional
Page : 588 pages
File Size : 25,34 MB
Release : 2002
Category : Computers
ISBN : 0201752832

GET BOOK

Assuming some familiarity with database concepts and any version of the SQL Server software, database administrator Sharma looks at the features of the 2000 version, common errors and how to rectify them, sample code to explain the features, tips for improving performance, scripts and utilities for routine administration, and interfacing with the .NET environment. The disc contains code for several chapters. Annotation copyrighted by Book News, Inc., Portland, OR