Data mining

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51Data Analysis and Data Mining in Systems engineering EIN 4905/EIN 6905 Section 1A83 Class Periods: Tuesday, periods 1-2, 7:25 am – 9:20 am and Thursday, period 2, 8:30 am – 9:20 am Location: FLG 0220 Academic Term: S

Data Analysis and Data Mining in Systems engineering EIN 4905/EIN 6905 Section 1A83 Class Periods: Tuesday, periods 1-2, 7:25 am – 9:20 am and Thursday, period 2, 8:30 am – 9:20 am Location: FLG 0220 Academic Term: S

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Source URL: www.ise.ufl.edu

Language: English - Date: 2016-10-09 18:27:59
    52Data Mining Practical Machine Learning Tools and Techniques Slides for Chapter 6 of Data Mining by I. H. Witten and E. Frank  Implementation:

    Data Mining Practical Machine Learning Tools and Techniques Slides for Chapter 6 of Data Mining by I. H. Witten and E. Frank  Implementation:

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    Source URL: www.is.informatik.uni-duisburg.de

    Language: English - Date: 2008-03-14 14:10:25
      53Matthew Smith Brigham Young University, Data Mining Lab JulyStages of

      Matthew Smith Brigham Young University, Data Mining Lab JulyStages of

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      Source URL: m.smithworx.com

      Language: English - Date: 2010-07-01 18:07:10
        54Mining Coherent Patterns from Heterogeneous Microarray Data Xiang Zhang Wei Wang

        Mining Coherent Patterns from Heterogeneous Microarray Data Xiang Zhang Wei Wang

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        Source URL: web.cs.ucla.edu

        Language: English - Date: 2007-03-09 14:41:43
          55Developer Identification Methods for Integrated Data from Various Sources International Workshop on Mining Software Repositories (MSR 2005) May 17th 2005, St. Luis, USA Gregorio Robles, Jesús M. G

          Developer Identification Methods for Integrated Data from Various Sources International Workshop on Mining Software Repositories (MSR 2005) May 17th 2005, St. Luis, USA Gregorio Robles, Jesús M. G

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          Source URL: 2005.msrconf.org

          Language: English - Date: 2005-08-17 16:08:31
            56The exception for text and data mining (TDM) in the Proposed Directive on Copyright in the Digital Single Market - Technical Aspects

            The exception for text and data mining (TDM) in the Proposed Directive on Copyright in the Digital Single Market - Technical Aspects

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            Source URL: www.europarl.europa.eu

            Language: English - Date: 2018-02-23 04:44:19
              57conferenceseries.com 5th International conference on Big Data Analysis and Data Mining Rome, Italy

              conferenceseries.com 5th International conference on Big Data Analysis and Data Mining Rome, Italy

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              Source URL: d2cax41o7ahm5l.cloudfront.net

              Language: English - Date: 2017-11-24 02:17:07
                58GLIS 693 Introduction to Data Mining (3 credits) 1. Course Description  Introduction to data mining. Includes data preprocessing, data warehouse architecture, online analytical processing (OLAP), online analytical min

                GLIS 693 Introduction to Data Mining (3 credits) 1. Course Description  Introduction to data mining. Includes data preprocessing, data warehouse architecture, online analytical processing (OLAP), online analytical min

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                Source URL: dmas.lab.mcgill.ca

                Language: English - Date: 2015-03-17 12:47:34
                  590/10 International Workshop on Mining Software Repositories, Edinburgh, Preprocessing CVS Data for Fine-Grained Analysis Thomas Zimmermann 1 and Peter Weißgerber 2

                  0/10 International Workshop on Mining Software Repositories, Edinburgh, Preprocessing CVS Data for Fine-Grained Analysis Thomas Zimmermann 1 and Peter Weißgerber 2

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                  Source URL: 2004.msrconf.org

                  Language: English - Date: 2005-08-17 16:08:29
                    60Brussels, 30 MayArticle 3 – Text and Data Mining The ability to analyse information, and to reuse facts and data freely is fundamental to knowledge sharing and everyday life. It should not make a difference whet

                    Brussels, 30 MayArticle 3 – Text and Data Mining The ability to analyse information, and to reuse facts and data freely is fundamental to knowledge sharing and everyday life. It should not make a difference whet

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                    Source URL: www.ifla.org

                    Language: English - Date: 2018-03-08 07:34:49