Data Mining: Concepts and Techniques Second Edition Jiawei Han and Micheline Kamber University of Illinois at Urbana-Champaign AMSTERDAM BOSTON HEIDELBERG LONDON. Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management, 2nd Edition. Forsyth county nc school bus drivers. Now Hiring Part-time & Substitute School Bus Drivers. Starting Pay $12.94. Our Mission: To support the educational process by dedicating ourselves to the safe and efficient transport of students. Submit completed applications to WS/FCS Administrative Center at 475 Corporate Square Dr., Winston-Salem, NC 27105. ![]() SQL Server Community Article Writer: Mark Tabladillo, Ph.D Technical Reviewer: Jeannine Takaki, SQL Server UE Published: August 2009 Applies to: SQL Server 2005, SQL Server 2008 Summary:This community article provides an introduction to data mining, and defines related terminology. The article provides examples from the daily news of questions that potentially can be answered by data mining, and broadly outlines the approach to creating and deploying data mining solutions in a business. Finally, the author explains the advantages of using Microsoft data mining technologies, and provides a list of resources for more information. Introduction This community article discusses why people should use Microsoft data mining. The Microsoft data mining tools leverage the strengths of Microsoft SQL Server data management software and the Microsoft Office system. Data mining options in a Microsoft solution range from ad hoc analysis within Microsoft Office Excel, to collaborative solutions using Office SharePoint Server, customized Microsoft.NET connection software applications, and production-level stored procedures in SQL Server. ![]() However, many enterprise environments include software applications and data warehouse solutions from multiple vendors, and the Microsoft technology respects these designs by allowing for open data connectivity and access with other software products, including other data mining solutions. Why Should I Be Interested in Data Mining? Data mining is an analytical activity that requires people to be successful. Microsoft has defined three specific job roles for people who would be interested in data mining (Microsoft, 2008b). These roles are organized by function, and a specific person or team may span duties or interests in more than one group: • Analysts – Subject matter experts who understand the data and are able to translate the results of data mining into actionable business information. • Developers – Intend to integrate data mining within custom application solutions. • Architects – Plan to meet the needs of analysts and developers, and may have a strong interest in data integration and reporting technologies.
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