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    TMW 2011 - Text Mining workshops

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    Website http://web.eecs.utk.edu/events/tmw11/ | Want to Edit it Edit Freely

    Category TMW 2011

    Deadline: January 14, 2011 | Date: April 30, 2011

    Venue/Country: Phoenix, U.S.A

    Updated: 2010-12-02 12:53:07 (GMT+9)

    Call For Papers - CFP

    This is the ninth in the series of Text Mining workshops held in conjunction with SDM. Previous ones have taken place in 2001, 2002, 2003, 2006, 2007, 2008, and 2009, and at the most recent workshop (2010) in Columbus, OH, 39 authors representing industry, academia and national research laboratories from 4 different countries submitted a total of 14 papers. After careful review, 10 papers were selected for publication and presentation. In addition, SAS, Catalyst Repository Systems, Inc., and Small Bear Consulting, LLC sponsored the workshop and provided funds for student travel expenses.

    General Topics

    The proliferation of digital computing devices and their use in communication has resulted in an increased demand for systems and algorithms capable of mining textual data. Thus, the development of techniques for mining unstructured, semi-structured, and fully structured textual data has become quite important in both academia and industry. As a result, this Workshop tracks new developments in the field of Text Mining - the application of techniques of machine learning in conjunction with natural language processing, information extraction and algebraic/mathematical approaches to computational information retrieval. Issues addressed range from the development of new learning approaches to the parallelization of existing algorithms. The goal of this workshop is to provide a venue for researchers to share initial approaches and preliminary results of recent research in Text Mining. Through the careful selection and review of submitted workshop papers, we hope to provide a suitable selection of topics that will both generate interest and provide insight into the state of the field of Text Mining.

    Special Topics - Text Mining with the Enron Data Set and VAST 2008/2009/2010 Contest Data

    Because of the continued interest generated from the availability of the Enron data set of 1.3 million email messages (see Enron Email Dataset) and its versatility in terms of potential research topics (link analysis, pattern matching), researchers are encouraged to submit papers to this workshop. In addition, the text-based datasets of news events and scenario definition used in the IEEE Symposium on Visual Analytics Science and Technology (VAST) 2008 and 2009 Contests is an interesting corpus for research in topic detection/tracking, role playing, and scenario analysis (see VAST 2008 , VAST 2009 , and VAST 2010, contests for more details on those datasets).

    Other Specific Topics of Interest Include:

    Algorithms and Models

    Bayesian Models

    Concept Decomposition

    Orthogonal Decomposition

    Probabilistic Models

    Vector Space Models

    Latent Semantic Indexing

    Graph-based Models

    Text Streaming Models

    Applications

    Clustering

    Factor Analysis

    Visualization Techniques

    Metadata Generation

    Information Extraction

    Text Classification

    Text Purification

    Text Segmentation

    Text Summarization

    Query Structures

    Trend Detection

    Distributed Storage and Retrieval

    Registration

    Attendees are required to register for SDM 2011 so that no separate registration is needed for this workshop.

    A one-day registration for the conference is available. Workshop attendees do not have to register at the complete conference rate.

    Click here for more details.

    Submission Requirements

    To submit a paper, upload your paper in PDF format (Papers should be printable on 8.5 × 11 paper only and be roughly 10 pages in length

    using a 11pt font in two-column font with 1 inch margins). Click here to access the MyReview system for uploading abstracts and manuscripts.

    Note: You must create a MyReview account for uploading your files.

    In the Authors section you will find the instructions:

    1. Use the abstract submission interface to provide the main information

    on your paper. You will be given an id/password which must later be used

    to access the system during the following steps, so save the login information message that you will receive from the system.

    2. Once an abstract has been submitted, you can upload your paper.

    To guarantee consideration, manuscripts must be received by January 14, 2011. Submission of work in progress is also encouraged.

    Important Dates

    Papers Due: January 14, 2011

    Notifications sent: February 4, 2011.

    Camera ready (final papers) due to workshop: February 11, 2011.

    Program Committee

    Co-Chairs: Michael W. Berry, University of Tennessee and Jacob Kogan, University of Maryland, Baltimore County

    Loulwah AlSumait, Kuwait University

    Brett Bader, Sandia National Laboratories

    Murray Browne, Turner Broadcasting Systems, Inc.

    Malu Castellanos, Hewlett-Packard Laboratories

    Carlotta Domeniconi, George Mason University

    Efstratios Gallopoulos, University of Patras, Greece

    Wilfried Gansterer, University of Vienna

    Efim Gendler, iboogie.tv

    Peg Howland, Utah State University

    Eric Jiang, University of San Diego

    Mei Kobayashi, IBM Research - Tokyo

    April Kontostathis, Ursinus University

    Choudur Lakshminarayan, Hewlett-Packard Laboratories

    Doug Oard, University of Maryland

    Padma Raghavan, Penn State University

    Alan Ratner, Northop Gruman

    Andrea Tagarelli, University of Calabria, Italy

    Dvora Toledano-Kitai, Ort Braude, Israel

    Judith Vogel, Stockton College

    Zeev Volkovich, Ort Braude College, Israel

    Organizational Committee

    Co-Chairs:

    Michael W. Berry

    Department of Electrical Engineering & Computer Science

    203 Claxton Complex

    University of Tennessee

    Knoxville, TN 37996-3450

    Phone: (865) 974-3838

    Fax: (865) 974-4404

    berry AT eecs DOT utk DOT edu

    Jacob Kogan

    Department of Mathematics and Statistics

    University of Maryland, Baltimore County

    Baltimore, MD 21250

    Phone: (410) 455-3297

    Fax: (410) 455-1066

    kogan AT math DOT umbc DOT edu


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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