UNIVERSITY LIBRARY CATALOGUE

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21.
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Web metrics for library and information professionals / David Stu art. by
Material type: Text Text
London : Facet Publishing, 2014
Availability: Items available for loan: Main Library - IDA (1)Call number: 006.312 ST U.

22.
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The art and science of analyzing software data / edited by Christ ian Bird, Tim Menzies, Thomas Zimmermann. by
Edition: 1st edition.
Material type: Text Text
Waltham, MA : Elsevier, 2015
Availability: Items available for loan: College of Computing and Information Science - COCIS (1)Call number: 006.312 ART.

23.
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Data science for business / by Foster Provost and Tom Fawcett. by
Material type: Text Text
Publication details: Sebastopol, Calif. : O'Reilly, 2013
Other title:
  • Data science for business : what you need to know about data mining and data-analytic thinking.
Availability: Items available for loan: Main Library - IDA (1)Call number: 006.312 PRO.

24.
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Data mining : concepts and techniques / Jiawei Han, Micheline Kamber. by Series: The Morgan Kaufmann series in data management systems
Edition: 2nd ed.
Material type: Text Text
Publication details: Amsterdam : Elsevier, c2006
Availability: No items available.

25.
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26.
Association rule mining using evolutionary computing / Peter Patr ick Wakabi-Waiswa. by
Material type: Text Text
Publication details: Kampala, 2012
Dissertation note: Unpublished thesis (PhD)- Makerere University, 2012.
Availability: No items available.

27.
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Data mining and data warehousing / Bharat Bhushan Agarwal, Sumit Prakash Tayal by
Material type: Text Text
Publication details: New Delhi : University Science Press, 2014
Availability: No items available.

28.
Data mining extensions (DMX) reference : SQL server 2012 books on line.
Material type: Text Text
Publication details: Redmond, Washington : Microsoft, 2012
Dissertation note: Summary: Data Mining Extensions (DMX) is a language that you can use to create and work with data mining models in Microsoft SQL Server Ana lysis Services. You can use DMX to create the structure of new data min ing models, to train these models, and to browse, manage, and predict a gainst them. DMX is composed of data definition language (DDL) statemen ts, data manipulation language (DML)statements, and functions and opera tors.
Availability: No items available.

29.
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30.
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31.
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Data science for business / by Foster Provost and Tom Fawcett. by
Material type: Text Text
Publication details: Sebastopol, Calif. : O'Reilly, 2013
Other title:
  • Data science for business : what you need to know about data mining and data-analytic thinking.
Availability: No items available.

32.
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Data mining : concepts and techniques / Jiawei Han, Micheline Kamber. by Series: The Morgan Kaufmann series in data management systems
Edition: 2nd ed.
Material type: Text Text
Publication details: Amsterdam : Elsevier, c2006
Availability: No items available.

33.
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34.
Association rule mining using evolutionary computing / Peter Patr ick Wakabi-Waiswa. by
Material type: Text Text
Publication details: Kampala, 2012
Dissertation note: Unpublished thesis (PhD)- Makerere University, 2012.
Availability: No items available.

35.
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Data mining and data warehousing / Bharat Bhushan Agarwal, Sumit Prakash Tayal by
Material type: Text Text
Publication details: New Delhi : University Science Press, 2014
Availability: No items available.

36.
Data mining extensions (DMX) reference : SQL server 2012 books on line.
Material type: Text Text
Publication details: Redmond, Washington : Microsoft, 2012
Dissertation note: Summary: Data Mining Extensions (DMX) is a language that you can use to create and work with data mining models in Microsoft SQL Server Ana lysis Services. You can use DMX to create the structure of new data min ing models, to train these models, and to browse, manage, and predict a gainst them. DMX is composed of data definition language (DDL) statemen ts, data manipulation language (DML)statements, and functions and opera tors.
Availability: No items available.

37.
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38.
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39.
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Data science for business / by Foster Provost and Tom Fawcett. by
Material type: Text Text
Publication details: Sebastopol, Calif. : O'Reilly, 2013
Other title:
  • Data science for business : what you need to know about data mining and data-analytic thinking.
Availability: No items available.

40.
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Data mining : concepts, models, methods, and algorithms / Mehm ed Kantardzic. by
Edition: 2nd ed.
Material type: Text Text
Publication details: Hoboken, N.J. : John Wiley : IEEE Press, c2011
Availability: Items available for loan: Institute of Statistics and Applied Economics Book Bank (1)Call number: 006.3 KAN.