Data Mining Research Papers 2012

Data Mining Research Papers 2012-25
Research, USA Myra Spiliopoulou, Otto-von-Guericke-Universitaet Magdeburg, Germany Parthasarathy Srinivasan, Ohio State University Hannu Toivonen, University of Helsinki, Finland Wei Wang, University of North Carolina at Chapel Hill, USA Qiang Yang, Hong Kong University of Technology, Hong Kong Jieping Ye, Arizona State University, USA Bianca Zadrozny, IBM T. Watson Research Center, USA Mohammed Zaki, Rensselaer Polytechnic Institute, USA Program Committee Members Naoki Abe, IBM Research, USA Foto Afrati, National Technical University of Athens, Greece Nitin Agarwal, University of Arkansas at Little Rock, USA Mohammad Al Hasan, Indiana University-Purdue University, USA Aijun An, York University, Canada Tony Bagnall, University of East Anglia, United Kingdom James Bailey, University of Melbourne, Australia Jose Luis Balcazar, Universidad de Cantabria, Spain Daniel Barbara, George Mason University, USA Gustavo Batista, University of California at Riverside, USA Tanya Berger-Wolf, University of Illinois at Chicago, USA Kanishka Bhaduri, NASA Ames Research Center, USA Mustafa Bilgic, Illinois Institute of Technology, USA Jean-Francois Boulicaut, Universite de Lyon, France Wray Buntine, Canberra Research Laboratory, NICTA, Australia Toon Calders, Eindhoven University of Technology, The Netherlands Michelangelo Ceci, University of Bari "Aldo Moro", Italy Nicolo Cesa-Bianchi, University of Milan, Italy Vineet Chaoji, Yahoo!

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If you are tweeting about the conference, please use the designated hashtag to enable other attendees to keep up with the Twitter conversation and to allow better archiving of our conference discussions. Steering Committee Chair Chandrika Kamath, Lawrence Livermore National Laboratory, USA Conference Chairs Joydeep Ghosh, University of Texas - Austin, USA Huan Liu, Arizona State University, USA Program Chairs Ian Davidson, University of California - Davis, USA Carlotta Domeniconi, George Mason University, USA Workshop Chairs Rui Kuang, University of Minnesota, USA Chandan Reddy, Wayne State University, USA Tutorial Chair Nitesh Chawla, University of Notre Dame, USA Publicity Chairs Nitin Agarwal, University of Arkansas at Little Rock, USA Sponsorship Chairs Jennifer Dy, Northeastern University, USA Jimeng Sun, IBM T. Watson Research Center, USA Local Chair Yan Liu, University of Southern California, USA Doctoral Forum Organizers Jennifer Dy, Northeastern University, USA Yan Liu, University of Southern California, USA Jimeng Sun, IBM T. Watson Research Center, USA Senior Program Committee Members Charu Aggarwal, IBM T. Watson Research Center, USA Arindam Banerjee, University of Minnesota, USA Sugato Basu, Google Research, USA Roberto Bayardo, Google Research, USA Francesco Bonchi, Yahoo!

Research Barcelona, Spain Varun Chandola, Oak Ridge National Laboratory, USA Wei Fan, IBM T. Watson Research Center and IBM CRL, USA Dimitrios Gunopulos, University of Athens, Greece Jiawei Han, University of Illinois at Urbana-Champaign, USA George Karypis, University of Minnesota, USA Eamonn Keogh, University of California – Riverside, USA Tamara Kolda, Sandia National Laboratories, USA Jure Leskovec, Stanford University, USA Olfa Nasraoui, University of Louisville, USA Alexander Smola, Yahoo!

The book Data mining: Practical machine learning tools and techniques with Java Often the more general terms (large scale) data analysis and analytics – or, when referring to actual methods, artificial intelligence and machine learning – are more appropriate.

The actual data mining task is the semi-automatic or automatic analysis of large quantities of data to extract previously unknown, interesting patterns such as groups of data records (cluster analysis), unusual records (anomaly detection), and dependencies (association rule mining, sequential pattern mining).

Barcelona, Spain Tias Guns, Katholieke Universiteit Leuven, Belgium Maria Halkidi, University of Pireaus, Greece Shen-Shyang Ho, University of Maryland College Park, USA Vasant Honavar, Iowa State University, USA Ming Hua, Facebook, USA Jun Huan, University of Kansas, USA Eyke Huellermeier, University of Marburg, Germany Shuiwang Ji, Old Dominion University, USA Rouoming Jin, Kent State University, USA Alipio Jorge, University of Porto, Portugal Alexandros Kalousis, University of Geneva, Switzerland Kristian Kersting, Fraunhofer IAIS, University of Bonn, Germany George Kollios, Boston University, USA Vipin Kumar, University of Minnesota, USA Terran Lane, University of New Mexico, USA Tao Li, Florida International University, USA Jessica Lin, George Mason University, USA Jinze Liu, University of Kentucky, USA Jun Liu, Siemens Corporate Research, USA Nathan Nan Liu, Hong Kong University of Science and Technology, Hong Kong Stefano Lonardi, University of California at Riverside, USA Chang-Tien Lu, Virginia Tech, USA Claudio Lucchese, Institute of the National Research Council, Italy Sheng Ma, Double Click, USA Donato Malerba, University of Bari, Italy Rosa Meo, University of Torino, Italy Fabian Moerchen, Siemens, USA Alessandro Moschitti, University of Trento, Italy Emmanuel Muller, Karlsruhe Institute of Technology, Germany Art Munson, Sandia National Laboratories, USA Mirco Nanni, ISTI CNR, Italy Tim Oates, University of Maryland Baltimore, USA Zoran Obradovic, Temple University, USA Nikunj Oza, NASA Ames Research Center, USA Themis Palpanas, University of Trento, Italy Sinno Jialin Pan, Institute for Infocomm Research, Singapore Spiros Papadimitriou, Google Research, USA Stelios Paparizos, Microsoft, USA Rajesh Parekh, Yahoo!

Research, USA Dino Pedreschi, University of Pisa, Italy Jian Pei, Simon Fraser University, Canada Jing Peng, Montclair State University, USA Ruggero Pensa, Consiglio Nazionale delle Ricerche, Italy Ali Pinar, Sandia National Laboratories, USA Kunal Punera, Yahoo! Research Barcelona, Spain Giorgio Valentini, University of Milan, Italy Matthijs van Leeuwen, Universiteit Utrecht, The Netherlands Michalis Vazirgiannis, Athens University of Economics & Business, Greece Ricardo Vilalta, University of Huston, USA Michail Vlachos, IBM Research Zurich, Switzerland Slobodan Vucetic, Temple University, USA Fei Wang, IBM Research, USA Jianyong Wang, Tsinghua University, Beijing China Pu Wang, Stumble Upon, USA Tony Wirth, University of Melbourne, Australia Xindong Wu, University of Vermont, USA Hui Xiong, Rutgers University, USA Dit-Yan Yeung, Hong Kong University of Science and Technology, Hong Kong Philip Yu, University of Illinois at Chicago, USA Kun Zhang, Xavier University of Lousiana, USA Xiang Zhang, Case Western Reserve University, USA Ying Zhao, Tsinghua University, Beijing China Hill Zhu, University of Technology Sydney, Australia Data mining is an important tool in science, engineering, industrial processes, healthcare, business, and medicine.

SUBMISSION DEADLINES September 30, 2011 PM PST: Workshop/Tutorial Proposals : Paper Submission October 16th PDT December 21, 2011 PM PST: Author Notification January 25, 2012: Camera Ready Papers Due Presentation slides are now available for the MS1 Data Mining, Uncertainty Quantification, and Opportunities for Collaboration.

Best Paper Award A Distributed Kernel Summation Framework for General-Dimension Machine Learning Authors: Dongryeol Lee, Richard Vuduc, and Alexander G.

is a Canadian company that owns novel sensor technology for measuring electromagnetic signatures of materials. Net Recommender System Challenge Welcome to the web page of ECML/PKDD Discovery Challenge 2011 (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases).

The sensor is a robust, inexpensive instrument that detects passive electromagnetic emission from all matter. The tasks of the challenge are focused on making recommendations for video...


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