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CFP with extended deadline of Mar. 11, 2009: The 2009 InternationalConference on Data Mining (DMIN'09) & Sessions on Text/Web Mining, DataMining Applications, & Data Mining for Time Series, USA, July 13-16, 2009
I would appreciate if you would share the announcement below
with those who might be interested. The paper submission deadline is extended to March 11, 2009. ================================================== ============ C A L L F O R P A P E R S ================================================== ============ The 5th International Conference on Data Mining 2009 DMIN'09 www.dmin--2009.com part of The 2009 World Congress in Computer Science, Computer Engineering, and Applied Computing (WORLDCOMP'09) Date and Location: July 13-16, 2009, Las Vegas, USA ================================================== ============ You are invited to submit a paper to any of the three special session tracks that are part of the 2009 International Conference on Data Mining (DMIN'09). The three special sessions will cover 1) Text and Web Mining, 2) Real- World Data Mining Applications, Challenges, and Perspectives, and 3) Data Mining for Time Series Data - Forecasting, Classification and Clustering. Papers on other data mining topics may still be submitted to the DMIN conference, independent of these special sessions. DMIN-09, the 5th International conference on data mining, is part of the 22 conferences held simultaneously from 13-16 July 2009 at the 2009 WORLDCOMP conference, Monte Carlo Resort, Las Vegas, Nevada, USA. The special sessions will be held during the DMIN conference. All papers for the special sessions should be submitted using the standard procedures for DMIN papers (see website), but the appropriate special session track should be selected. Additional details for these three special sessions are provided below, but up-to-date information for the special session can be found at the following url: http://www.dmin--2009.com/special_sessions.htm URL WORLDCOMP: http://www.world-academy-of-science.org/worldcomp09/ws URL DMIN'09: http://www.dmin--2009.com SCOPE: Topics of interest include, but are not limited to, the following: + Data Mining Tasks - Regression/Classification - Time series forecasting - Segmentation/Clustering/Association - Deviation and outlier detection - Explorative and visual data mining - Web mining - Mining text and semi-structured data - Temporal and spatial data mining - Multimedia mining (audio/video) - Others + Data Mining Algorithms - Artificial neural networks - Fuzzy logic and rough sets - Decision trees/rule learners - Support vector machines - Evolutionary computation/meta heuristics - Statistical methods - Collaborative filtering - Case based reasoning - Link and sequence analysis - Ensembles/committee approaches - Others + Data Mining Integration - Mining large scale data - Distributed and grid based data mining - Data and knowledge representation - Data warehousing and OLAP integration - Integration of prior/domain knowledge - Metadata and ontologies - Agent technologies for data mining - Legal and social aspects of data mining - Others + Data Mining Process - Data cleaning and preparation - Feature selection and transformation - Attribute discretisation and encoding - Sampling and rebalancing - Missing value imputation - Model selection/assessment and comparison - Induction principles - Model interpretation - Others + Data Mining Applications - Bioinformatics/Medicine - Business/Industrial - Engineering - Military/Security - Social science - Others + Data Mining Software We particularly encourage submissions of industrial applications and case studies from practitioners. These will not be evaluated using solely theoretical research criteria, but will take general interest and presentation stringer into consideration. + Alternative and additional examples of possible topics include: Data Mining for Business Intelligence; Emerging technologies in data mining; Computational performance issues in data mining; Data mining in usability; Advanced prediction modelling using data mining; Data mining and national security; Data mining tools; Data analysis; Data preparation techniques (selection, transformation, and preprocessing); Information extraction methodologies; Clustering algorithms used in data mining; Genetic algorithms and categorization techniques used in data mining; Data and information integration; Microarray design and analysis; Privacy-preserving data mining; Active data mining; Statistical methods used in data mining; Multidimensional data; Automatic data cleaning; Data visualization; Theory and practice (knowledge representation and discovery); Knowledge Discovery in Databases (KDD); Uncertainty management; Data reduction methods; Data engineering; Content mining; Indexing schemes; Information retrieval; Metadata use and management; Multidimensional query languages and query; Multimedia information systems; Search engine query processing; Pattern mining; Applications (examples: data mining in education, marketing, finance and financial services, business applications, medicine, bioinformatics, biological sciences, science and technology, industry and government, ...). ================================================== ======= 1) Special Session on Text and Web Mining Organizer: Yanjun Li, Fordham University, Text mining has been defined as 'the automated discovery of new, previously unknown information by automatically extracting information from different written resources.' Text mining operates on structured data from XML files or unstructured or semi-structured data sets (such as email, full- text documents, and HTML files). Text mining applications include information extraction, topic tracking, summarization, categorization, clustering, concept linkage, information visualization, and question answering. Web mining is the application of data mining techniques to discover patterns from the World Wide Web and includes web usage mining, web content mining, and web structure mining. Web mining applications are in high demand since they can be used to improve the effectiveness of search engines. 2) Special Session on Real-World Data Mining Applications, Challenges, and Perspectives Organizer: Mahmoud Abou-Nasr, Ford Motor Company Research and Innovation Center, The past decade has witnessed a vast growth of the amount of data produced and the proliferation of specialized databases in a wide range of business, industrial, medical and scientific applications. Data mining is becoming an increasingly important tool in the process of knowledge discovery and the transformation of data into valuable information. The objective of this special session is to provide a forum for the data mining researchers and industrial practitioners to discuss data mining applications, issues, and the challenges that arise when addressing real-world problems (e.g. dealing with highly skewed data sets, massive and high dimensional data sets, non- stationary data, unknown misclassification costs, lack of training data, missing and noisy data, business process issues, etc.). Topics of interest include, but are not limited to: Enterprise knowledge management/knowledge discovery Sales forecasting Automotive diagnostics Medical diagnostics Bioinformatics Challenges, including o highly skewed data sets o massive and high dimensional data sets o non-stationary data o unknown misclassification costs o missing and noisy data 3) Special Session on Data Mining for Time Series Data - Forecasting, Classification and Clustering Organizer: Sven F. Crone, Lancaster Centre for Forecasting at the Department of Management Science at Lancaster University Management School, UK, This special session of DMIN09 will cover all aspects of data mining for time series data, particularly forecasting, classification and clustering of time series. CONTACT INFORMATION For specific questions, contact the appropriate special section organizer. For more general questions, contact one of the conference organizers listed below. General Enquiries: Robert Stahlbock General Conference Chair Programme Committee: Sven F. Crone Conference Programme Co-Chair Student Funding Enquiries: Stefan Lessmann Student Chair & Conference Programm Co-Chair Tutorials Session Proposals: Philippe Lenca Tutorial Chair Special Session Proposals: Gary M. Weiss Special Session Chair Exhibitors & Corporate Sponsors : Wolfram Lippe Exhibit Chair TUTORIAL SESSIONS All tutorials are free to registered conference attendees of all conferences held at WOLDCOMP'09. Those who are interested in attending one or more of the tutorials are to sign up on site at the conference registration desk in Las Vegas. A complete & current list of WORLDCOMP Tutorials can be found here. In addition to tutorials at other conferences, DMIN'09 provides a set of tutorials dedicated to Data Mining topics. The 2007 key tutorial was given by Prof. Eamonn Keogh on Time Series Clustering. The 2008 key tutorial was presented by Mikhail Golovnya (Senior Scientist, Salford Systems, USA) on Advanced Data Mining Methodologies. This year DMIN will provide the following tutorials: Tutorial A ========== Organizer: Nitesh V. Chawla, University of Notre Dame, USA Topic: Data Mining with Sensitivity to Rare Events and Class Imbalance Description Recent years brought increased interest in applying data mining techniques to difficult 'real-world' problems, many of which are characterized by imbalanced learning data, where at least one class is much rarer relative to others. Examples include (but are not limited to): fraud/intrusion detection, risk management, medical diagnosis/ monitoring, bioinformatics, text categorization and personalization of information. The problem of imbalanced data is also often associated with asymmetric costs of misclassifying elements of different classes. Additionally the distribution of the test data may differ from that of the learning sample and the true misclassification costs may be unknown at learning time. Predictive accuracy, a popular choice for evaluating performance of a classifier, will not be appropriate when the data is imbalanced and/or the costs of different errors vary markedly. This tutorial will introduce the problem of class imbalance, address the scope of solutions available, present and contrast the appropriate metrics for evaluating performance, and discuss the applications with case studies. Tutorial B ========== Organizer: Peter Geczy, National Institute of Advanced Industrial Science and Technology (AIST), Japan Topic: Emerging Human-Web Interaction Research Date & Time: July 14, 2009 (6:00 8:00 pm) - tentative Description: Abstract: World wide web has evolved from its earlier static form to an interactive multimedia environment. Richness of interactions is rapidly approaching that of the conventional stand-alone applications. Human interactivity with web-based environments has been gaining increasing importance in both web research and e-commerce. Mining and exploring human-web interactions bring numerous challenges as well as opportunities. We will probe into the processes and methods of human- web interaction research ranging from data acquisition techniques, throughout analytics, to applications. Accounting for the latest advances in the field, we will project the prospective future trends. Objective: The primary objective of the tutorial is to provide clear, yet reasonably comprehensive, overview of the underlying principles, current approaches, and potential future trends. Knowledge of the state-of-the-art in human-web interaction research should be beneficial to a wide spectrum of individuals studying, utilizing, designing, and/or managing web-based information systems. Audience: The tutorial aims to approach a broad audience including, but not limited to: - Students and Educators - Academics and Researchers - Practitioners and Managers The topic shall be presented in an accessible and intuitive manner without extensive technical details. Short Bio: Dr. Peter Geczy is a senior scientist at The National Institute of Advanced Industrial Science and Technology (AIST). He also held positions at The Institute of Physical and Chemical Research (RIKEN) and The Research Center for Future Technology. His interdisciplinary scientific interests encompass domains of human interactions and behavior in digital environments, information systems, knowledge management and engineering, data and web mining, artificial intelligence, and machine learning. His recent research focus also extends to the spheres of service science, engineering, management, and computing. He received several awards in recognition of his accomplishments. Dr. Geczy has been serving on various professional committees, editorial boards, and has been a distinguished speaker in academia and industry. Tutorial C (pending - preliminary information! ) ================================================ Organizer: Asim Roy, Arizona State University Topic: Autonomous Machine Learning ************************************************** ********** SUBMISSION OF PAPERS: Prospective authors are invited to submit a draft paper in PDF format (up to 7 pages, standard double column IEEE style, single spaced, 10 pt font size, margins left/right/bottom/top 0.75" (19 mm), first page top margin 1" (25 mm)), to the DMIN'09 online paper submission system by Mar. 11, 2009. The link to the online submission system will be available on the DMIN'09 website (www.dmin--2009.com). The length of the Camera-Ready papers (if accepted) will be limited to 7 (IEEE style) pages. Papers must not have been previously published or currently submitted for publication elsewhere. The first page of the draft paper should include: title of the paper, name, affiliation, postal address, and email address of each author as well as the name of the conference the paper is being submitted to (i.e., DMIN'09). The first page should also identify the name of the Contact Author and a maximum of 5 topical keywords that would best represent the content of the paper. To reflect upon feedback from last year we will extend the feedback given within the review in aligning them with the IEEE guidelines for IJCNN and WCCI. In particular, we aim at a fair, objective and transparent review process. Therefore, we are publishing the review criteria to further support the reviews provided (see www.dmin--2009.com). Papers will be evaluated for relevance to DMIN, originality, significance, information content, clarity, and soundness on an international level. Each aspect will be evaluated on a scale of 1 (bad - reject) to 10 (excellent - accept) or 10%-100%. Papers need to achieve at least 50% overall score to be accepted without mandatory revisions. Each paper will be refereed by at least two researchers in the topical area, and all reviews are being considered for the acceptance/rejection decision. Each reviewer can indicate their expertise and therefore their relative confidence in a particular recommendation. The camera-ready papers will be reviewed by one person. We particularly encourage submissions of industrial applications and case studies from practitioners. To reflect the requirements of an application or project centric case study presentation, these will be subject to different review criteria. In particular, they will not be evaluated using predominantly theoretical research criteria of originality etc., but will take general interest and presentation stronger into consideration. The camera-ready papers will be reviewed by one person. SPONSORS (confirmed as of Feb. 20, 2009): Academic Sponsors include: United States Military Academy, Network Science Center, USA; Biomedical Cybernetics Laboratory, HST of Harvard University and MIT, USA; Argonne's Leadership Computing Facility of Argonne National Laboratory, USA; Functional Genomics Laboratory, University of Illinois at Urbana-Champaign, USA; Minnesota Supercomputing Institute, University of Minnesota, USA; Intelligent Data Exploration and Analysis Laboratory, University of Texas at Austin, Texas, USA; Harvard Statistics Department Genomics & Bioinformatics Laboratory, Harvard University, USA; Texas Advanced Computing Center, The University of Texas at Austin, Texas, USA; Center for the Bioinformatics and Computational Genomics, Georgia Institute of Technology, Atlanta, Georgia, USA; Bioinformatics & Computational Biology Program, George Mason University, Virginia, USA; Institute of Discrete Mathematics and Geometry, Vienna University of Technology, Austria; BioMedical Informatics & Bio-Imaging Laboratory, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA; Knowledge Management & Intelligent System Center (KMIS) of University of Siegen, Germany; National Institute for Health Research; Hawkeye Radiology Informatics, College of Medicine, University of Iowa, USA; Institute for Informatics Problems of the Russian Academy of Sciences, Moscow, Russia; Medical Image HPC & Informatics Lab (MiHi Lab), University of Iowa, USA; SECLAB of U. of Naples Federico II, U. of Naples Parthenope, and Second U. of Naples, Italy; U. of North Dakota, USA; Intelligent Cyberspace Engineering Lab., ICEL, Texas A&M University (Com./Texas), USA; International Society of Intelligent Biological Medicine; World Academy of Biomedical Sciences & Technologies; and European Commission. Other Sponsors include: High Performance Computing for Nanotechnology (HPCNano); HoIP - Health without Boundaries; The International Council on Medical and Care Compunetics; The UK Department for Business, Enterprise & Regulatory Reform; VMW Solutions Ltd.; Scientific Technologies Corporation; and others. MEMBERS OF PROGRAMME AND ORGANIZING COMMITTEE: The programme committee includes members of the chapters of World Academy of Science (chapters: supercomputing; scientific computing; AI; imaging science; databases; simulation; software engineering; embedded systems; internet and web technologies; communications; computer security; and bioinformatics.) The names of the members of the programme committee will soon be posted on the web site. Those interested in joining the programme committee should email the following information to the programme chair Dr. Sven F. Crone (eMail ): Name,affiliation and position, complete mailing address, email address, tel/fax numbers, and a short biography with research interests and a list of ISI references papers. For the list of the members of programme committee of DMIN'08, refer to: http://www.dmin-2008.com/programme_committe.htm Many members of the programme committee include renowned leaders, scholars, researchers, scientists and practitioners of the highest ranks; many are directors of research laboratories, fellows of various societies, heads/chairs of departments, deans and provosts. IMPORTANT DATES: March 11, 2009: Extended deadline for submission of papers (about 5 to 7 pages) April 9, 2009: Notification of acceptance May 1, 2009: Camera-Ready papers and Registration due July 13-16, 2009: The 2009 World Congress in Computer Science, Computer Engineering, and Applied Computing (WORLDCOMP'09 - 22 joint conferences) URL WORLDCOMP: http://www.world-academy-of-science.org/worldcomp09/ws URL DMIN'09: http://www.dmin--2009.com |
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