[LtoR] Brett Bader, Dave Engel, and Pu Wang

[LtoR] Andrey Puretskiy, Wenyin Tang, and April Kontostathis

John Ascuaga's Nugget
Sparks, NV

May 2, 2009


[LtoR] Ziqiu Su, Andreas Janecek, and Eric Jiang

to be held in conjunction with

Ninth SIAM International Conference on Data Mining (SDM 2009)

Topics of interest | Registration | Submission Requirements | Important Dates
Program | Program Committee | Organizational Committee | Sponsors | Proceedings | Slides

History of the Workshop

This is the seventh in the series of Text Mining workshops held in conjunction with SDM. Previous ones have taken place in 2001, 2002, 2003, 2006, 2007, and 2008, and last year in Atlanta, 44 authors representing industry, academia and national research laboratories from 7 different countries submitted a total of 18 papers. After careful review, 10 papers were selected for publication and presentation. In addition, SAS and BeliefNetworks Inc. sponsored the workshop and provided funds for student travel expenses. Photos shown above were taken at 2009 SDM Text Mining Workshop.

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 will survey the emerging 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. Many issues are being addressed in this field ranging 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 2007/2008 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) 2007 and 2008 Contests is an interesting corpus for research in topic detection/tracking, role playing, and scenario analysis (see VAST 2007 or VAST 2008 contests for more details on those datasets). Researchers whose work is more focused on social networking models of the Enron and VAST-2007/2008 datasets should contact the organizers of the SDM Link Analysis (SLA) Workshop. With the authors' permission, a paper may be re-assigned to the SLA workshop (especially if the Program Committee makes the recommendation based on the content of the paper).

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
  • 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


Attendees are required to register for SDM 2009 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) by accessing the review system via http://www.cs.utk.edu/TextMiningPapers.

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 16, 2009. Submission of work in progress is also encouraged.

Important Dates

Papers Due: January 16, 2009 deadline has passed

Notifications sent: February 6, 2009 notifications have been made.

Camera ready: Final Papers due to workshop: February 13, 2009

Keynote speaker: Brett W. Bader, Sandia National Laboratories
Title of Presentation: Algebraic Techniques for Multilingual Document Clustering     Presentation Slides (pdf)

Abstract: Text documents in multiple languages pose a problem if one wants to cluster them by topic. One approach of translating everything to a common language is not feasible when dealing with a large corpus or many languages. This presentation will show a variety of novel algebraic methods for efficiently clustering multilingual text documents. The methods use a multilingual parallel corpus as a 'Rosetta Stone' from which algorithmic variations of Latent Semantic Analysis (LSA) are able to learn concepts in a multilingual term space. New documents are projected into this concept space to produce language-independent feature vectors for subsequent use in similarity calculations or machine learning applications. Our numerical experiments show that the new methods have better performance than LSA and can be used in machine learning tasks.

Biography: Brett W. Bader received his B.S. and M.S. degrees in chemical engineering from the Massachusetts Institute of Technology. Subsequently, he worked in the chemical industry, developing mathematical models of chemical plants for online, real-time optimization. He received his Ph.D. in computer science from the University of Colorado at Boulder, studying higher-order methods for optimization and solving systems of nonlinear equations. In 2003, Brett received the John von Neumann Research Fellowship at Sandia National Laboratories, where he now develops algorithms for multi-way data analysis and machine learning for informatics applications in networks and text.


All camera-ready (accepted) workshop papers will be included in the CD proceedings
of the SDM09 conference. Authors of a few selected papers will be invited to contribute
to an edited volume on text mining to be published by Wiley. Chapters (expanded from
the accepted workshop papers) will be due in July 2009.
Presentation Slides:
Program in PDF format (final version posted on February 14, 2009)

Sponsors: SAS Institute Inc. of Cary, NC, Small Bear Technical Consulting, LLC of Thorn Hill, TN

Program Committee

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

Roger Bilisoly, Central Connecticut State University
Daniel Boley, University of Minnesota
Murray Browne, Turner Broadcasting Systems, Inc.
Malu Castellanos, Hewlett-Packard Laboratories
Anirban Chatterjee, The Pennsylvania State University
Carlotta Domeniconi, George Mason University
Kyle Gallivan, Florida State University
Efstratios Gallopoulos, University of Patras, Greece
Wilfried Gansterer, University of Vienna
Efim Gendler, iboogie.tv
Peg Howland, Utah State University
April Kontostathis, Ursinus University

Choudur Lakshminarayan, Hewlett-Packard Laboratories
Bill Pottenger, DIMACS, Rutgers
Padma Raghavan, Penn State University
Andrea Tagarelli, University of Calabria, Italy
Judith Vogel, Stockton College
Zeev Volkovich, Ort Braude College, Israel
Yu Xia, University of Birmingham, UK

Organizational Committee

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

Last modified on February 14, 2009