Frequent Pattern Mining

Frequent Pattern Mining

This comprehensive reference consists of 18 chapters from prominent researchers in the field. Each chapter is self-contained, and synthesizes one aspect of frequent pattern mining. An emphasis is placed on simplifying the content, so that students and practitioners can benefit from the book. Each ch...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή:	SpringerLink (Online service)
Άλλοι συγγραφείς:	Aggarwal, Charu C. (Επιμελητής έκδοσης), Han, Jiawei (Επιμελητής έκδοσης)
Μορφή:	Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:	English
Έκδοση:	Cham : Springer International Publishing : Imprint: Springer, 2014.
Θέματα:	Computer science. Database management. Data mining. Artificial intelligence. Pattern recognition. Biometrics (Biology). Computer Science. Data Mining and Knowledge Discovery. Database Management. Artificial Intelligence (incl. Robotics). Pattern Recognition. Biometrics.
Διαθέσιμο Online:	Full Text via HEAL-Link

Παρόμοια τεκμήρια

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Computer Analysis of Images and Patterns 14th International Conference, CAIP 2011, Seville, Spain, August 29-31, 2011, Proceedings, Part I /
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Pattern Recognition 7th Chinese Conference, CCPR 2016, Chengdu, China, November 5-7, 2016, Proceedings, Part II /
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Pattern Recognition 7th Chinese Conference, CCPR 2016, Chengdu, China, November 5-7, 2016, Proceedings, Part I /
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Machine Learning and Data Mining in Pattern Recognition 12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings /
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Machine Learning and Data Mining in Pattern Recognition 13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings /
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Machine Learning and Data Mining in Pattern Recognition 8th International Conference, MLDM 2012, Berlin, Germany, July 13-20, 2012. Proceedings /
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Machine Learning and Data Mining in Pattern Recognition 7th International Conference, MLDM 2011, New York, NY, USA, August 30 – September 3, 2011. Proceedings /
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Structural, Syntactic, and Statistical Pattern Recognition Joint IAPR International Workshop, S+SSPR 2014, Joensuu, Finland, August 20-22, 2014. Proceedings /
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Structural, Syntactic, and Statistical Pattern Recognition Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings /
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Structural, Syntactic, and Statistical Pattern Recognition Joint IAPR International Workshop, SSPR&SPR 2012, Hiroshima, Japan, November 7-9, 2012. Proceedings /
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Artificial Neural Networks in Pattern Recognition 4th IAPR TC3 Workshop, ANNPR 2010, Cairo, Egypt, April 11-13, 2010. Proceedings /
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Rough Sets, Fuzzy Sets, Data Mining and Granular Computing 13th International Conference, RSFDGrC 2011, Moscow, Russia, June 25-27, 2011. Proceedings /
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New Frontiers in Applied Data Mining PAKDD 2009 International Workshops, Bangkok, Thailand, April 27-30, 2009. Revised Selected Papers /
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New Frontiers in Applied Data Mining PAKDD 2011 International Workshops, Shenzhen, China, May 24-27, 2011, Revised Selected Papers /
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Advances in Artificial Intelligence 23rd Canadian Conference on Artificial Intelligence, Canadian AI 2010, Ottawa, Canada, May 31 – June 2, 2010. Proceedings /
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Data Mining A Knowledge Discovery Approach /
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Soft Computing for Knowledge Discovery and Data Mining
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Rough Sets and Knowledge Technology 9th International Conference, RSKT 2014, Shanghai, China, October 24-26, 2014, Proceedings /
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Rough Sets and Knowledge Technology 10th International Conference, RSKT 2015, Held as Part of the International Joint Conference on Rough Sets, IJCRS 2015, Tianjin, China, November 20-23, 2015, Proceedings /
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Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III /
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Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II /
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Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I /
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