Special Issue "Selected Papers from Text Mining Workshop at the 2012 SIAM International Conference on Data Mining"

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A special issue of Algorithms (ISSN 1999-4893).

Deadline for manuscript submissions: closed (30 June 2012)

Special Issue Editors

Guest Editor
Prof. Dr. Michael W. Berry
Department of Electrical Engineering and Computer Science, The University of Tennessee, Min H. Kao Building, Suite 401, 1520 Middle Drive, Knoxville, TN 37996, USA
Website: http://web.eecs.utk.edu/~berry/
E-Mail: berry@eecs.utk.edu
Phone: +1 865 974 3838
Fax: +1 865 974 4404
Interests: information retrieval, data and text mining, computational science, bioinformatics, and parallel computing

Guest Editor
Dr. Jacob Kogan
Department of Mathematics and Statistics, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, Maryland 21250, USA
Website: http://www.math.umbc.edu/~kogan/
E-Mail: kogan@math.umbc.edu
Phone: +1 410 455 3297
Fax: +1 410 455 1066
Interests: optimal control theory; finite dimensional optimization; robust stability of control systems; computational information retrieval

Special Issue Information

Dear Colleagues,

The proliferation of digital computing devices and their use in communication continues to result 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, a one-day workshop on text mining was held on April 28, 2012 in conjunction with the SIAM Twelfth International Conference on Data Mining to bring together researchers from a variety of disciplines to present their current approaches and results in text mining. The workshop surveyed 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 document classification and clustering models to novel approaches for topic detection, tracking, and visualization.

Prof. Dr. Michael W. Berry
Dr. Jacob Kogan
Guest Editors

Keywords

  • document ranking and representation
  • document classification and clustering
  • text summarization and anomaly detection

Published Papers (6 papers)

by  and
Algorithms 2012, 5(3), 364-378; doi:10.3390/a5030364
Received: 29 June 2012; in revised form: 13 August 2012 / Accepted: 15 August 2012 / Published: 24 August 2012
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by  and
Algorithms 2012, 5(3), 379-397; doi:10.3390/a5030379
Received: 19 June 2012; in revised form: 8 September 2012 / Accepted: 11 September 2012 / Published: 18 September 2012
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by ,  and
Algorithms 2012, 5(4), 398-420; doi:10.3390/a5040398
Received: 2 July 2012; in revised form: 5 September 2012 / Accepted: 7 September 2012 / Published: 26 September 2012
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by ,  and
Algorithms 2012, 5(4), 469-489; doi:10.3390/a5040469
Received: 20 June 2012; in revised form: 10 October 2012 / Accepted: 11 October 2012 / Published: 19 October 2012
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abstract graphic

by , ,  and
Algorithms 2012, 5(4), 490-505; doi:10.3390/a5040490
Received: 1 July 2012; in revised form: 16 August 2012 / Accepted: 9 October 2012 / Published: 22 October 2012
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abstract graphic

by  and
Algorithms 2012, 5(4), 506-520; doi:10.3390/a5040506
Received: 2 July 2012; in revised form: 24 September 2012 / Accepted: 17 October 2012 / Published: 23 October 2012
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Last update: 20 February 2014

Algorithms EISSN 1999-4893 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert