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Livres sur le sujet « Advanced Cluster Analysis »

Auteur : Grafiati

Publié le 27 juillet 2024

Mis à jour le 29 juillet 2024

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1

ADMA 2008 (2008 Chengdu, China). Advanced data mining and applications: 4th international conference, ADMA 2008, Chengdu, China, October 8-10, 2008, proceedings. Springer, 2008.

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2

ADMA 2008 (2008 Chengdu, China). Advanced data mining and applications: 4th international conference, ADMA 2008, Chengdu, China, October 8-10, 2008, proceedings. Springer, 2008.

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3

Changjie, Tang, ed. Advanced data mining and applications: 4th international conference, ADMA 2008, Chengdu, China, October 8-10, 2008, proceedings. Springer, 2008.

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4

Cao, Longbing. Advanced Data Mining and Applications: 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part II. Springer Berlin Heidelberg, 2010.

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5

Zhou, Shuigeng. Advanced Data Mining and Applications: 8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012. Proceedings. Springer Berlin Heidelberg, 2012.

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6

International Federation of Classification Societies. Conference. Classification, clustering and data analysis: Recent advances and applications. Springer, 2002.

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7

Sugato, Basu, Davidson Ian 1971-, and Wagstaff Kiri, eds. Constrained clustering: Advances in algorithms, theory, and applications. Chapman & Hall/CRC, 2008.

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8

International Federation of Classification Societies. Conference. Advances in data science and classification: Proceedings of the 6th Conference of the International Federation of Classification Societies (IFCS-98), Università "La Sapienza", Rome, 21-24 July, 1998. Springer, 1998.

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9

Ling, Charles X., Nick Cercone, Xiaofang Zhou, Xue Li, and Changjie Tang. Advanced Data Mining and Applications: 4th International Conference, ADMA 2008, Chengdu, China, October 8-10, 2008, Proceedings. Springer, 2008.

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10

Wang, Sen, Jianxin Li, Shuliang Wang, Xue Li, and Shaowen Qin. Advanced Data Mining and Applications: 15th International Conference, ADMA 2019, Dalian, China, November 21–23, 2019, Proceedings. Springer, 2019.

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11

Li, Jianzhong, Hong Gao, Reda Alhajj, Xue Li, and Osmar R. Zaiane. Advanced Data Mining and Applications: Third International Conference, ADMA 2007, Harbin, China, August 6-8, 2007 Proceedings. Springer London, Limited, 2007.

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12

Gan, Guojun, Shuliang Wang, Xue Li, and Bohan Li. Advanced Data Mining and Applications: 14th International Conference, ADMA 2018, Nanjing, China, November 16–18, 2018, Proceedings. Springer, 2018.

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13

Li, Xue, Osmar R. Zaiane, and Zhanhuai Li. Advanced Data Mining and Applications: Second International Conference, ADMA 2006, Xi'an, China, August 14-16, 2006, Proceedings. Springer London, Limited, 2006.

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14

Wang, Shuliang, Zhao Yang Dong, and Xue Li. Advanced Data Mining and Applications: First International Conference, ADMA 2005, Wuhan, China, July 22-24, 2005, Proceedings. Springer London, Limited, 2003.

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15

Li, Jianxin, Shuliang Wang, Jinyan Li, Quan Z. Sheng, and Xue Li. Advanced Data Mining and Applications: 12th International Conference, ADMA 2016, Gold Coast, QLD, Australia, December 12-15, 2016, Proceedings. Springer, 2016.

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16

Li, Jianxin, Shuliang Wang, Jinyan Li, Quan Z. Sheng, and Xue Li. Advanced Data Mining and Applications: 12th International Conference, ADMA 2016, Gold Coast, QLD, Australia, December 12-15, 2016, Proceedings. Springer, 2016.

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17

Long, Guodong, Lin Yue, Fei Fang, Xue Li, and Bohan Li. Advanced Data Mining and Applications: 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings, Part II. Springer International Publishing AG, 2022.

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18

Yue, Lin, Jing Jiang, Xue Li, Bohan Li, and Weitong Chen. Advanced Data Mining and Applications: 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings, Part I. Springer International Publishing AG, 2022.

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19

Advanced Data Mining And Applications 6th International Conference Adma 2010 Chongqing China November 1921 2010 Proceedings. Springer, 2011.

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20

Baker, Paul, Ursula Lutzky, Brian Paltridge, et al. Using Corpora in Discourse Analysis. Bloomsbury Publishing Plc, 2023. http://dx.doi.org/10.5040/9781350083783.

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How can you carry out discourse analysis using corpus linguistics? What research questions should I ask? Which methods should you use and when? What is a collocational network or a key cluster? Introducing the major techniques, methods and tools for corpus-assisted analysis of discourse, this book answers these questions and more, showing readers how to best use corpora in their analyses of discourse. Using carefully tailored case studies, each chapter is devoted to a central technique, including frequency, concordancing and keywords, going step by step through the process of applying different analytical procedures. Introducing a wide range of different corpora, from holiday brochures to political debates, the book considers the key debates and latest advances in the field. Fully revised and updated, this new edition includes: - A new chapter on how to conduct research projects in corpus-based discourse analysis- Completely rewritten chapters on collocation and advanced techniques, using a corpus of jihadist propaganda texts and covering topics such as social media and visual analysis- Coverage of major tools, including CQPweb, AntConc, Sketch Engine and #LancsBox- Discussion of newer techniques including the derivation of lockwords and the comparison of multiple data sets for diachronic analysis With exercises, discussion questions and suggested further readings in each chapter, this book is an excellent guide to using corpus linguistics techniques to carry out discourse analysis. Using Corpora for Discourse Analysis provides an overview of how to employ methods from corpus linguistics in order to carry out discourse analysis, with chapters devoted to central techniques: frequency, concordancing, collocation, keywords. The book also covers corpus building and annotation and a range of different corpus analysis tools including WordSmith, AntConc, Sketch Engine and #Lancsbox. Key debates in the field are considered and coverage is provided of the latest advances in the field, including the use of triangulatory frameworks, multimodal analyses, collocational networks and reflexivity. The chapters include case studies using different types of corpora including holiday brochures, newspaper articles and political debates. Each chapter contains step by step guides to using different analytical procedures, discussion questions, suggestions for further reading and exercises for students.

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21

“Data Mining Concepts & Techniques”. 3rd ed. Morgan Kaufmann Publishers, 2011.

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22

Karypis, George, Shuigeng Zhou, and Songmao Zhang. Advanced Data Mining and Applications: 8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012, Proceedings. Springer, 2012.

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23

Karypis, George, Shuigeng Zhou, and Songmao Zhang. Advanced Data Mining and Applications: 8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012, Proceedings. Springer, 2012.

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24

Grouping Multidimensional Data: Recent Advances in Clustering. Springer, 2006.

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25

Nicholas, Charles, Marc Teboulle, and Jacob Kogan. Grouping Multidimensional Data: Recent Advances in Clustering. Springer, 2010.

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26

Davidson, Ian, Kiri Wagstaff, and Sugato Basu. Constrained Clustering: Advances in Algorithms, Theory, and Applications. Taylor & Francis Group, 2008.

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27

Introduction to Computational Neurobiology and Clustering (Series on Advances in Mathematics for Applied Sciences) (Series on Advances in Mathematics for Applied Sciences). World Scientific Publishing Company, 2007.

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28

Kumar, Vipin, Ian Davidson, Kiri Wagstaff, and Sugato Basu. Constrained Clustering: Advances in Algorithms, Theory, and Applications. Taylor & Francis Group, 2008.

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29

Davidson, Ian, Kiri Wagstaff, and Sugato Basu. Constrained Clustering: Advances in Algorithms, Theory, and Applications. Taylor & Francis Group, 2008.

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30

(Editor), Reinhold Decker, and Hans-Joachim Lenz (Editor), eds. Advances in Data Analysis: Proceedings of the 30th Annual Conference of the Gesellschaft für Klassifikation e.V., Freie Universität Berlin, March 8-10, ... Data Analysis, and Knowledge Organization). Springer, 2007.

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31

(Editor), Sugato Basu, Ian Davidson (Editor), and Kiri Wagstaff (Editor), eds. Constrained Clustering: Advances in Algorithms, Theory, and Applications (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series). Chapman & Hall/CRC, 2008.

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32

Bock, Hans Hermann, Alfredo Rizzi, and Maurizio Vichi. Advances in Data Science and Classification: Proceedings of the 6th Conference of the International Federation of Classification Societies (Ifcs-98) Universita ... Data Analysis, and Knowledge Organization). Springer-Verlag Telos, 1999.

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33

Bock, Hans Hermann, Alfredo Rizzi, and Maurizio Vichi. Advances in Data Science and Classification: Proceedings of the 6th Conference of the International Federation of Classification Societies Università la Sapienza , Rome, 21-24 July 1998. Springer London, Limited, 2013.

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