Навчання асоціативних правил (Ukrainian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Навчання асоціативних правил" in Ukrainian language version.

refsWebsite

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6web.archive.org

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3doi.org

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1msu.edu

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4,361^st place

1hahsler.net

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1revolutionanalytics.com

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1umn.edu

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2,777^th place

1agrawal-family.com

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1springer.com

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agrawal-family.com

rakesh.agrawal-family.com

Agrawal, Rakesh; and Srikant, Ramakrishnan; Fast algorithms for mining association rules in large databases [Архівовано 25 лютого 2015 у Wayback Machine.], in Bocca, Jorge B.; Jarke, Matthias; and Zaniolo, Carlo; editors, Proceedings of the 20th International Conference on Very Large Data Bases (VLDB), Santiago, Chile, September 1994, pages 487—499

doi.org

Agrawal, R.; Imieliński, T.; Swami, A. (1993). Mining association rules between sets of items in large databases. Proceedings of the 1993 ACM SIGMOD international conference on Management of data - SIGMOD '93. с. 207. doi:10.1145/170035.170072. ISBN 0897915925.
Hipp, J.; Güntzer, U.; Nakhaeizadeh, G. (2000). Algorithms for association rule mining --- a general survey and comparison. ACM SIGKDD Explorations Newsletter. 2: 58. doi:10.1145/360402.360421.
Zaki, M. J. (2000). Scalable algorithms for association mining. IEEE Transactions on Knowledge and Data Engineering. 12 (3): 372—390. doi:10.1109/69.846291.

hahsler.net

michael.hahsler.net

Michael Hahsler (2015). A Probabilistic Comparison of Commonly Used Interest Measures for Association Rules. http://michael.hahsler.net/research/association_rules/measures.html [Архівовано 2 серпня 2018 у Wayback Machine.]

msu.edu

cse.msu.edu

Tan, Pang-Ning; Kumar, Vipin; and Srivastava, Jaideep; [Selecting the right objective measure for association analysis, https://cse.msu.edu/%7Eptan/papers/IS.pdf [Архівовано 10 серпня 2017 у Wayback Machine.]] Information Systems, 29(4):293-313, 2004

revolutionanalytics.com

mran.revolutionanalytics.com

Hahsler, Michael (2005). Introduction to arules – A computational environment for mining association rules and frequent item sets (PDF). Journal of Statistical Software. Архів оригіналу (PDF) за 30 квітня 2019.

springer.com

link.springer.com

Webb, Geoffrey I. (2007); Discovering Significant Patterns, Machine Learning 68(1), Netherlands: Springer, pp. 1-33 online access [Архівовано 3 серпня 2018 у Wayback Machine.]

umn.edu

www-users.cs.umn.edu

Tan, Pang-Ning; Michael, Steinbach; Kumar, Vipin (2005). Chapter 6. Association Analysis: Basic Concepts and Algorithms (PDF). Introduction to Data Mining. Addison-Wesley. ISBN 0-321-32136-7. Архів оригіналу (PDF) за 19 вересня 2017. Процитовано 3 серпня 2018.

web.archive.org

Tan, Pang-Ning; Kumar, Vipin; and Srivastava, Jaideep; [Selecting the right objective measure for association analysis, https://cse.msu.edu/%7Eptan/papers/IS.pdf [Архівовано 10 серпня 2017 у Wayback Machine.]] Information Systems, 29(4):293-313, 2004
Michael Hahsler (2015). A Probabilistic Comparison of Commonly Used Interest Measures for Association Rules. http://michael.hahsler.net/research/association_rules/measures.html [Архівовано 2 серпня 2018 у Wayback Machine.]
Hahsler, Michael (2005). Introduction to arules – A computational environment for mining association rules and frequent item sets (PDF). Journal of Statistical Software. Архів оригіналу (PDF) за 30 квітня 2019.
Tan, Pang-Ning; Michael, Steinbach; Kumar, Vipin (2005). Chapter 6. Association Analysis: Basic Concepts and Algorithms (PDF). Introduction to Data Mining. Addison-Wesley. ISBN 0-321-32136-7. Архів оригіналу (PDF) за 19 вересня 2017. Процитовано 3 серпня 2018.
Agrawal, Rakesh; and Srikant, Ramakrishnan; Fast algorithms for mining association rules in large databases [Архівовано 25 лютого 2015 у Wayback Machine.], in Bocca, Jorge B.; Jarke, Matthias; and Zaniolo, Carlo; editors, Proceedings of the 20th International Conference on Very Large Data Bases (VLDB), Santiago, Chile, September 1994, pages 487—499
Webb, Geoffrey I. (2007); Discovering Significant Patterns, Machine Learning 68(1), Netherlands: Springer, pp. 1-33 online access [Архівовано 3 серпня 2018 у Wayback Machine.]