Data Mining Research Papers 2012

Data Mining Research Papers 2012-51
The proceedings of the conference arepublished in archival form, and are also made available on the SIAM web site.SIAM and the Conference Organizing Committee wish to extend their thanks and appreciation to the U. National Science Foundation for its support of this conference.Aside from the raw analysis step, it also involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating.

The proceedings of the conference arepublished in archival form, and are also made available on the SIAM web site.

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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.

Sponsored by Tom Tom, the world's leading provider of portable GPS and car navigation systems.

Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information (with intelligent methods) from a data set and transform the information into a comprehensible structure for further use.

Algorithm for Optimal Job Scheduling and Task Allocation under Constraints Job scheduling is a common problem in many different applications.

However, there is no algorithm that can solve this problem exactly, finding optimal solution in a reasonable time, for any large configuration of jobs and workers. ISMIS 2011 Contest: Music Information Retrieval Data mining contest associated with the 19th International Symposium on Methodologies for Intelligent Systems (ISMIS 2011).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).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!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...Gray Best Student Paper Sparse Group Lasso: Consistency and Climate Applications Authors: Soumyadeep Chatterjee, Karsten Steinhaeuser, Arindam Banerjee, Snigdhansu Chatterjee, and Auroop Ganguly Best Student Posters in Doctoral Forum Semi-Supervised Learning in High Dimensional Data Authors: Guoxian Yu, South China University of Technology, China; Guoji Zhang, South China University of Technology, China; and Carlotta Domeniconi George Mason University, USA Modeling Disease Progression via Multi-Task Learning Formulations Author: Jiayu Zhou, Arizona State University, USA Doctoral Student Forum Applications for participation in the doctoral forum are due by .A Facebook link to RSVP to the conference, connect with other attendees and find roommates will be posted here in January 2012.The task is to recognize different properties of provided music samples, based on extracted sound features. SIAM SDM'11 Contest: Prediction of Biological Properties of Molecules from Chemical Structure You are invited to participate in a data mining contest associated with the prestigious 2011 SIAM International Conference on Data Mining (Society for Industrial and Applied Mathematics) in Arizona, USA, and organized by Simulations Plus, Inc. e-LICO multi-omics prediction challenge with background knowledge on Obstructive Nephropathy We present a biological data-mining problem that poses a number of significant challenges: The available data are of high dimensionality but of extremely small sample size, come from different sources which correspond to different biological... Advanced Track RSCTC 2010 Discovery Challenge: Mining DNA microarray data for medical diagnosis and treatment, is a special event of Rough Sets and Current Trends in Computing conference that will take place in Warsaw, Poland, June 28-30, 2010. IEEE ICDM Contest: Tom Tom Traffic Prediction for Intelligent GPS Navigation Data mining competition being a part of IEEE International Conference on Data Mining 2010 (ICDM), Sydney, Australia, Dec 14-17. Basic Track RSCTC 2010 Discovery Challenge: Mining DNA microarray data for medical diagnosis and treatment, is a special event of Rough Sets and Current Trends in Computing conference that will take place in Warsaw, Poland, June 28-30, 2010.

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