ACM SIGKDD Explorations

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ACM SIGKDD Explorations Editor-In-Chief : Ramakrishnan Srikant Associate Editors: Bing Liu Osmar R. Zaïane ttp://www.acm.org/sigs/sigkdd/explorations/

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ACM SIGKDD Explorations. Editor-In-Chief : Ramakrishnan Srikant Associate Editors : Bing Liu Osmar R. Zaïane. http://www.acm.org/sigs/sigkdd/explorations/. About SIGKDD Explorations. Official newsletter of the SIGKDD community. Two issues a year. - PowerPoint PPT Presentation

Transcript of ACM SIGKDD Explorations

Page 1: ACM SIGKDD Explorations

ACM SIGKDD Explorations Editor-In-Chief : Ramakrishnan Srikant Associate Editors:

Bing Liu Osmar R. Zaïane

http://www.acm.org/sigs/sigkdd/explorations/

Page 2: ACM SIGKDD Explorations

About SIGKDD Explorations

Official newsletter of the SIGKDD community. Two issues a year. All issues are available online

http://www.acm.org/sigs/sigkdd/explorations/ Contains

Submitted articles (reviewed) Reports (workshops, kdd cup, and others) Interviews Selected KDD workshop papers Special issues guest edited

Members get hard copy.

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Special Issues Upcoming Issues: Visual Analytics [D. Keim, J. Schneidewind] December 2007 Open Source Data Mining Software [R. Grossman]

Past Issues: Data Mining for Health Informatics [Raymond T. Ng, Jian Pei ] 06/07 Successful Real-World Data Mining Applications [G. Melli, O. R. Zaiane, B. Kitts ] 06/06 Link Mining [L. Getoor and C. P. Diehl ] 12/05 Natural Language Processing and Text Mining [Anne Kao, Steve Poteet ] 06/05 Web Content Mining [B. Liu, K. C.-C. Chang ] 12/04 Learning from Imbalanced Datasets [N. Chawla, N. Japkowicz, A. Kolcz ] 06/04 Microarray Data Mining [G. Piatetsky-Shapiro, P. Tamayo ] 12/03 Multi Relational Data Mining [S. Dzeroski, L. De Raedt ] 06/03 Privacy and Security [J. Gehrke] 12/02 Constraints in Data Mining [R. Bayardo] 06/02 Online, Interactive, and Anytime Data Mining [M. Zaki] 01/02 Scalable Data Mining [K. Shim] 12/00 Internet Data Mining [P. Bradley] 06/00

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We invite…

Reports on competitions, panels, workshops: Deadline: Oct 2.

Proposals for 2008 special issues. Articles with industry and application focus. Technical articles on the special issue Position papers on controversial issues Commentaries/notes requiring quick

dissemination Book reviews, Advertisements

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Send us your comments and suggestions

[email protected]

UNIVERSITY OFALBERTA

Osmar R. Zaïane, Ph.D.Associate ProfessorDepartment of Computing Science

352 Athabasca HallEdmonton, AlbertaCanada T6G 2E8

Telephone: Office +1 (780) 492 2860Fax +1 (780) 492 1071

E-mail: [email protected]://www.cs.ualberta.ca/~zaiane/

As of January 2008 the Editor-in-Chief of SIGKDD Explorations will be Osmar R Zaïane


Hyperparameter Importance Across DatasetsHyperparameter Importance Across Datasets. In KDD ’18: The 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,

Hyperparameter Importance Across DatasetsHyperparameter Importance Across Datasets. In KDD ’18: The 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,

BIRCH - hpi.de · Raghu Ramakrishnan Akademisch B.Tech. IIT Madras,1983 Ph.D. University of Texas at Austin,1987 Professor, University of Wisconsin-Madison, 1987-ACM SIGKDD Innovation

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1 ACM Student Chapter, Heritage Institute of Technology 3 rd February, 2012 SIGKDD Presentation by Satarupa Guha Sudipto Banerjee Ashish Baheti.

1 ACM Student Chapter, Heritage Institute of Technology 3 rd February, 2012 SIGKDD Presentation by Satarupa Guha Sudipto Banerjee Ashish Baheti.

Tutorial at the ACM SIGKDD conference, 2011

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NETWORK DATA MINING: METHODS AND TECHNIQUES FOR DISCOVERING DEEP LINKAGE BETWEEN ATTRIBUTES FROM ： ACM SIGKDD YEAR ： 2007 組員：黃于珊、李界寬、程尚文.

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È w ¤ ï ¬ Æ @ @ ¤ ¬ Ê ñ - KAKEN · Puglisi, S., Scalable Partial Least Squares Regression on Grammar- Compressed Data Matrices , ACM SIGKDD Conference on Knowledge Discovery

È w ¤ ï ¬ Æ @ @ ¤ ¬ Ê ñ - KAKEN · Puglisi, S., Scalable Partial Least Squares Regression on Grammar- Compressed Data Matrices , ACM SIGKDD Conference on Knowledge Discovery

Modern Information Retrievalgrupoweb.upf.edu/mir2ed/pdf/references.pdf · dyadic data. In KDD ’07: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery

Modern Information Retrievalgrupoweb.upf.edu/mir2ed/pdf/references.pdf · dyadic data. In KDD ’07: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery

WebMiningResearch ASurvey Web Mining Research: A Survey Raymond Kosala and Hendrik Blockeel ACM SIGKDD, July 2000 Presented by Shan Huang, 4/24/2007.

WebMiningResearch ASurvey Web Mining Research: A Survey Raymond Kosala and Hendrik Blockeel ACM SIGKDD, July 2000 Presented by Shan Huang, 4/24/2007.

ACM SIGKDD Aug. 2003 – Washington, DC M. El-Hajj and O. R. Zaïane, 2003 Database Lab. University of Alberta Canada Inverted Matrix: Efficient Discovery.

ACM SIGKDD Aug. 2003 – Washington, DC M. El-Hajj and O. R. Zaïane, 2003 Database Lab. University of Alberta Canada Inverted Matrix: Efficient Discovery.

Automated Local Regression Discontinuity Design Discoveryneill/papers/kdd2018.pdf · Automated Local Regression Discontinuity Design Discovery. In KDD ’18: The 24th ACM SIGKDD International

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Mining Rich Session Context to Improve Web Search Guangyu Zhu and Gilad Mishne in Proceedings of 15th ACM SIGKDD International Conference on Knowledge.

Mining Rich Session Context to Improve Web Search Guangyu Zhu and Gilad Mishne in Proceedings of 15th ACM SIGKDD International Conference on Knowledge.

About TechNews About SIG Newsletters · SIGKDD: SIGKDD Explorations SIGLOG: SIGLOG News* SIGMETRICS: Performance Evaluation Review SIGMIS: The Data Base for Advances in Information

About TechNews About SIG Newsletters · SIGKDD: SIGKDD Explorations SIGLOG: SIGLOG News* SIGMETRICS: Performance Evaluation Review SIGMIS: The Data Base for Advances in Information

1 SIGKDD Brief Report Usama Fayyad Chairman, SIGKDD Executive Committee usama@fayyad.com Presented on Behalf of SIGKDD EC by: Ankur Teredesai, Information.

1 SIGKDD Brief Report Usama Fayyad Chairman, SIGKDD Executive Committee [email protected] Presented on Behalf of SIGKDD EC by: Ankur Teredesai, Information.

Sponsorship Brochure for the ACM SIGKDD 2015 Conference on … · KDD 2015 Sponsorship Opportunities Page 1 Sponsorship Brochure for the ACM SIGKDD 2015 Conference on Knowledge Discovery

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Debiasing Grid-based Product Search in E-commercerguo12/kdd20.pdf · Debiasing Grid-based Product Search in E-commerce. In Proceed-ings of the 26th ACM SIGKDD Conference on Knowledge

Debiasing Grid-based Product Search in E-commercerguo12/kdd20.pdf · Debiasing Grid-based Product Search in E-commerce. In Proceed-ings of the 26th ACM SIGKDD Conference on Knowledge

Outlier Detection Techniques - LMU Munichzimek/publications/KDD2010/kdd10-outlier... · 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Outlier Detection Techniques

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UCL Computer Science - UCL - Learning Representations for ......OpenML: networked science in machine learning. ACM SIGKDD Explorations Newsletter, 15(2):49{60, 2014. Created Date 4/5/2018

UCL Computer Science - UCL - Learning Representations for ......OpenML: networked science in machine learning. ACM SIGKDD Explorations Newsletter, 15(2):49{60, 2014. Created Date 4/5/2018

Empowering A* Search Algorithms with Neural …Empowering A∗Search Algorithms with Neural Networks for Personalized Route Recommendation. In The 25th ACM SIGKDD Conference on Knowledge

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Anonymizing Sequential Releases ACM SIGKDD 2006 Benjamin C. M. Fung Simon Fraser University bfung@cs.sfu.ca Ke Wang Simon Fraser University wangk@cs.sfu.ca.

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Deep Learning for Recommender Systems - inovex · “Collaborative Deep Learning for Recommender Systems“ Proceedings of the 21th ACM SIGKDD International Conference on Knowledge

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