J MacLennan
Data Mining with Microsoft SQL Server 2008
Paperback Engels 2008 9780470277744
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
Understand how to use the new features of Microsoft SQL Server 2008 for data mining by using the tools in
Data Mining with Microsoft SQL Server 2008, which will show you how to use the SQL Server Data Mining Toolset with Office 2007 to mine and analyze data. Explore each of the major data mining algorithms, including naive bayes, decision trees, time series, clustering, association rules, and neural networks. Learn more about topics like mining OLAP databases, data mining with SQL Server Integration Services 2008, and using Microsoft data mining to solve business analysis problems.
Specificaties
ISBN13:9780470277744
Taal:Engels
Bindwijze:paperback
Aantal pagina's:672
Uitgever:John Wiley & Sons
Hoofdrubriek:Programmeren, Computer en informatica
Lezersrecensies
Wees de eerste die een lezersrecensie schrijft!
Inhoudsopgave
1. Introduction to Data Mining.
<p>2. Applied Data Mining Using Microsoft Excel 2007.</p>
<p>3. DMX and SQL Server Data Mining Concepts.</p>
<p>4. Using SQL Server Data Mining.</p>
<p>5. Implementing a Data Mining Process Using Office 2007.</p>
<p>6. Microsoft Naïve Bayes.</p>
<p>7. Microsoft Decision Trees Algorithm.</p>
<p>8. Microsoft Time Series Algorithm.</p>
<p>9. Microsoft Clustering.</p>
<p>10. Microsoft Sequence Clustering.</p>
<p>11. Microsoft Association Rules.</p>
<p>12. Microsoft Neural Network and Logistic Regression.</p>
<p>13. Mining OLAP Cubes.</p>
<p>14. Data Mining with SQL Server Integration Services.</p>
<p>15. SQL Server Data Mining Architecture.</p>
<p>16. Programming SQL Server Data Mining.</p>
<p>17. Extending SQL Server Data Mining.</p>
<p>18. Implementing a Web Cross–Selling Application.</p>
<p>19. Conclusion and Additional Resources.</p>
<p>Appendix A. Datasets.</p>
<p>Appendix B. Supported Functions.</p>
<p>Index.</p>
<p>2. Applied Data Mining Using Microsoft Excel 2007.</p>
<p>3. DMX and SQL Server Data Mining Concepts.</p>
<p>4. Using SQL Server Data Mining.</p>
<p>5. Implementing a Data Mining Process Using Office 2007.</p>
<p>6. Microsoft Naïve Bayes.</p>
<p>7. Microsoft Decision Trees Algorithm.</p>
<p>8. Microsoft Time Series Algorithm.</p>
<p>9. Microsoft Clustering.</p>
<p>10. Microsoft Sequence Clustering.</p>
<p>11. Microsoft Association Rules.</p>
<p>12. Microsoft Neural Network and Logistic Regression.</p>
<p>13. Mining OLAP Cubes.</p>
<p>14. Data Mining with SQL Server Integration Services.</p>
<p>15. SQL Server Data Mining Architecture.</p>
<p>16. Programming SQL Server Data Mining.</p>
<p>17. Extending SQL Server Data Mining.</p>
<p>18. Implementing a Web Cross–Selling Application.</p>
<p>19. Conclusion and Additional Resources.</p>
<p>Appendix A. Datasets.</p>
<p>Appendix B. Supported Functions.</p>
<p>Index.</p>
Rubrieken
- advisering
- algemeen management
- coaching en trainen
- communicatie en media
- economie
- financieel management
- inkoop en logistiek
- internet en social media
- it-management / ict
- juridisch
- leiderschap
- marketing
- mens en maatschappij
- non-profit
- ondernemen
- organisatiekunde
- personal finance
- personeelsmanagement
- persoonlijke effectiviteit
- projectmanagement
- psychologie
- reclame en verkoop
- strategisch management
- verandermanagement
- werk en loopbaan