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1

Jambu, Michel. Introduction au data mining: Analyse intelligente des données. Paris: Eyrolles, 1999.

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2

F, Elder John, and Miner Gary, eds. Handbook of statistical analysis and data mining applications. Boston: Elsevier Academic Press, 2009.

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3

Mehmed, Kantardzic, and Zurada Jozef 1949-, eds. Next generation of data-mining applications. Hoboken, N.J: Wiley-Interscience, 2005.

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4

Ruan, Tong. Da shu ju ji shu qian yan. Beijing: Dian zi gong ye chu ban she, 2016.

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5

Modern data warehousing, mining, and visualization: Core concepts. Upper Saddle River, N.J: Prentice Hall, 2003.

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6

Johannes, Fürnkranz, Scheffer Tobias, and Spiliopoulou Myra, eds. Knowledge discovery in databases: PKDD 2006 : 10th European Conference on Principle and Practice of Knowledge Discovery in Databases, Berlin, Germany, September 18-22, 2006 : proceedings. Berlin: Springer, 2006.

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7

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ((7th 2001 San Francisco, Calif.). KDD-2001: Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining : August 26-29, 2001, San Francisco, CA. New York, NY: Association for Computing Machinery, 2001.

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8

Frenette, Marc. Croissance de l'inégalité du revenu pendant les années 1990: Exploration de trois sources de données. Ottawa, Ont: Statistique Canada, Division de l'analyse des entreprises et du marché du travail, 2004.

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9

Brazdil, Pavel B. Metalearning: Applications to data mining. Berlin: Springer, 2009.

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10

(Lei), Hsü L., and International Symposium on Intelligent Data Engineering and Learning (1st : 1998 : Hong Kong), eds. Intelligent data engineering and learning: Perspectives on financial engineering and data mining : 1st International Symposium, IDEAL '98 : Hong Kong, October 14-16, 1998. Singapore: Springer, 1998.

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11

Practical data mining. Boca Raton, FL: CRC Press, 2012.

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12

Falissard, Bruno. Mesurer la subjectivité en santé: Perspective méthodologique et statistique. Paris: Masson, 2001.

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13

Grid middleware and services: Challenges and solutions. New York: Springer, 2008.

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14

Gordon, Linoff, ed. Data mining techniques: For marketing, sales, and customer support. New York: Wiley, 1997.

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15

Piegorsch, Walter W. Statistical data analytics: Foundations for data mining, informatics, and knowledge discovery. Chichester, West Sussex: John Wiley & Sons Inc., 2015.

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16

Big data: Algorithms, analytics, and applications. Boca Raton: CRC Press, Taylor & Francis Group, 2015.

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17

Nong, Ye, ed. The handbook of data mining. Mahwah, N.J: Lawrence Erlbaum Associates, Publishers, 2003.

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18

Taiwan) FSDM (Conference) (2017 Hualien. Fuzzy systems and data mining III: Proceedings of FSDM 2017. Amsterdam, Netherlands: IOS Press, 2017.

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19

Zurada, Jozef, and Mehmed Kantardzic. Next Generation of Data-Mining Applications. Wiley & Sons, Incorporated, John, 2005.

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20

(Editor), Mark Last, Abraham Kandel (Editor), and Horst Bunke (Editor), eds. Data Mining In Time Series Databases (Series in Machine Perception and Artificial Intelligence). World Scientific Pub Co Inc, 2004.

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21

Data mining and data warehousing (SPEC kit). Association of Research Libraries, Office of Leadership and Management Services, 2003.

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22

Marakas, George M. Modern Data Warehousing, Mining, and Visualization: Core Concepts. Prentice Hall, 2002.

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23

Association for Computing Machinery. Special Interest Group on Knowledge Discovery & Data Mining (Corporate Author), ed. Kdd-2001: Proceedings of the Seventh Acm Sigkdd International Conference on Knowledge Discovery and Data Mining : August 26-29, 2001 San Francisco, Ca, USA. Assn for Computing Machinery, 2002.

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24

(Editor), Johannes Fürnkranz, Tobias Scheffer (Editor), and Myra Spiliopoulou (Editor), eds. Knowledge Discovery in Databases: PKDD 2006: 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, Berlin, Germany, ... (Lecture Notes in Computer Science). Springer, 2006.

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25

Introduction to Data Mining. ADDISON WESLEY PUBLI, 2006.

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26

Publishing, SAS. Getting Started With SAS Enterprise Miner 5.2. SAS, 2006.

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27

Hamilton, Howard J., and Fabrice Guillet. Quality Measures in Data Mining. Springer, 2010.

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28

(Editor), Fabrice Guillet, and Howard J. Hamilton (Editor), eds. Quality Measures in Data Mining (Studies in Computational Intelligence). Springer, 2007.

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29

Hamilton, Howard J., and Fabrice Guillet. Quality Measures in Data Mining. Springer London, Limited, 2007.

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30

(Editor), Lei Xu, Lai-wan Chan (Editor), Irwin King (Editor), and Ada Fu (Editor), eds. Intelligent Data Engineering and Learning (IDEAL 98): Perspectives on Financial Engineering and Data Mining. Springer, 1999.

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31

Campesato, Oswald. Python 3 and Data Analytics Pocket Primer. Mercury Learning & Information, 2021.

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32

Python 3 and Data Analytics Pocket Primer. Mercury Learning & Information, 2021.

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33

Campesato, Oswald. Python 3 and Data Analytics Pocket Primer. Mercury Learning & Information, 2021.

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34

Mesurer la subjectivite en sante. Editions Masson, 2001.

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35

Ziegler, Wolfgang, Domenico Talia, and Ramin Yahyapour. Grid Middleware and Services. Springer, 2008.

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36

Ziegler, Wolfgang, Domenico Talia, and Ramin Yahyapour. Grid Middleware and Services: Challenges and Solutions. Springer, 2010.

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37

Advanced Analytics with Spark: Patterns for Learning from Data at Scale. O’Reilly Media, 2015.

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38

Beaugureau, Marie, ed. Advanced Analytics with Spark: Patterns for Learning from Data at Scale. 2nd ed. O’Reilly Media, 2017.

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39

Owen, Sean, Sandy Ryza, Uri Laserson, and Josh Wills. Advanced Analytics with Spark: Patterns for Learning from Data at Scale. O'Reilly Media, Incorporated, 2015.

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40

Linoff, Gordon S., and Michael J. A. Berry. Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management. Wiley & Sons, Incorporated, John, 2008.

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41

Piegorsch, Walter W. Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery. Wiley & Sons, Incorporated, John, 2015.

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42

Piegorsch, Walter W. Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery, Solutions Manual. Wiley & Sons, Incorporated, John, 2015.

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43

Piegorsch, Walter W. Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery. Wiley & Sons, Incorporated, John, 2015.

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44

Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery, Solutions Manual. Wiley & Sons, Limited, John, 2015.

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45

Piegorsch, Walter W. Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery, Solutions Manual. Wiley & Sons, Incorporated, John, 2015.

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46

Piegorsch, Walter W. Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery. Wiley & Sons, Incorporated, John, 2015.

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47

Piegorsch, Walter W. Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery, Solutions Manual. Wiley & Sons, Incorporated, John, 2016.

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48

Piegorsch, Walter W. Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery, Solutions Manual. Wiley & Sons, Incorporated, John, 2015.

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49

Web Mining: Applications and Techniques. IGI Global, 2004.

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50

Web Mining: : Applications and Techniques. Idea Group Publishing, 2005.

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