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Michael W. Berry 13 Dec, 2017  
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Publications -- Information Retrieval Printer-friendly 
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Home > Publications > Publications -- Information Retrieval

Books:

  • Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods, SIAM Publication, Philadelphia, 1994, ISBN: 0-89871-328-5.

  • Understanding Search Engines: Mathematical Modeling and Text Retrieval by M.W. Berry and M. Browne, SIAM Book Series: Software, Environments, and Tools, Second Edition (May 2005), ISBN: 0-89871-581-4.

  • Computational Information Retrieval, Proceedings of CIR'00, SIAM Proceedings in Applied Mathematics, M. Berry (Ed.), SIAM, Philadelphia, 2001, ISBN: 0-89871-500-8, 185 p.

  • Survey of Text Mining: Clustering, Classification, and Retrieval, M. Berry (Ed.), Springer-Verlag, New York, 2003, ISBN: 0-387-95563-1, 270 p.

  • Lecture Notes in Data Mining, M.W. Berry and M. Browne (Eds.), World Scientific, Singapore, 2006, ISBN: 981-256-802-6, 230p; Scientia (Fall 2007)

  • Survey of Text Mining II: Clustering, Classification, and Retrieval, M.W Berry and M. Castellanos (Eds.), Springer, London, 2008, ISBN: 978-1-84800-045-2, 240 p.

  • Text Mining: Applications and Theory, M.W Berry and J. Kogan (Eds.), Wiley, West Sussex, 2010, ISBN: 978-0-470074982-1, 224p.

  • High-Performance Scientific Computing, M.W. Berry, K.A. Gallivan, E. Gallopoulos, A. Grama, B. Philippe, Y. Saad, and F. Saied (Eds.) Springer, London, 2012, ISBN: 978-1-4471-2436-81, 346p.

  • Soft Computing in Data Science, Proceedings of the First International Conference in Data Science (SCDS), Communications in Computer Science Series (545), M.W. Berry, A.H. Mohamed, and Y.B. Wah (Eds.), Springer, Singapore , 2015, ISBN: 978-981-287-935-6, 276p.

  • Soft Computing in Data Science, Proceedings of the Second International Conference in Data Science (SCDS), Communications in Computer Science Series (545), M.W. Berry, A.H. Mohamed, and Y.B. Wah (Eds.), Springer, Singapore , 2016, ISBN: 978-981-10-2777-2, 311p.

  • Soft Computing in Data Science, Proceedings of the Third International Conference in Data Science (SCDS), Communications in Computer Science Series (545), A.H. Mohamed, M.W. Berry and Y.B. Wah (Eds.), Springer, Singapore , 2017, ISBN: 978-981-10-7242-0, 317p.


Recent publications:

Text Mining/Information Retrieval

  • ut-cs-94-270 -- Using Linear Algebra for Intelligent Information Retrieval. Michael W. Berry, Susan T. Dumais, and Gavin W. O'Brien, December 1994. Published in SIAM Review 37:4 (1995), pp. 573-595.

  • ut-cs-95-271 -- A Case Study of Latent Semantic Indexing.M.W. Berry, S.T. Dumais, and A.T. Shippy, January 1995.

  • ut-cs-95-284 -- Low-Rank Orthogonal Decompositions for Information Retrieval Applications . M.W. Berry and R.D. Fierro, April 1995. Published Numerical Linear Algebra with Applications 3:4 (1996), pp. 301-328.

  • (Postscript, PDF) -- Computational Methods for Intelligent Information Access. M.W. Berry, S.T. Dumais, and T.A. Letsche. Proceedings of Supercomputing'95, San Diego, CA, December 1995.

  • (HTML) -- Sparse Matrix Reordering Schemes for Browsing Hypertext. M.W. Berry, B. Hendrickson, and P. Raghavan. Proceedings of the AMS-SIAM Summer Seminar on Mathematics of Numerical Analysis: Real Number Algorithms, Park City, UT, July 17 - August 11, 1995. Published in Lectures in Applied Mathematics (LAM) Vol. 32: The Mathematics of Numerical Analysis, J. Renegar, M. Shub, and S. Smale (eds.), American Mathematical Society, (1996), pp. 99-123.

  • (HTML) -- Approximating Dominant Singular Triplets of Large Sparse Matrices via Modified Moments. S. Varadhan, M.W. Berry, and G.H. Golub. Numerical Algorithms 13:1-2 (1996), pp. 123-152.

  • (Postscript) -- Approximating Dominant Singular Triplets of Large Sparse Matrices via Modified Moments. S. Varadhan, M.W. Berry, and G.H. Golub. Numerical Algorithms 13:1-2 (1996), pp. 123-152.

  • (HTML) -- Large-Scale Information Retrieval with Latent Semantic Indexing. T.A. Letsche and M.W. Berry. Information Sciences - Applications 100, (1997), pp. 105-137.

  • (Postscript) -- Large-Scale Information Retrieval with Latent Semantic Indexing. T.A. Letsche and M.W. Berry. Information Sciences - Applications 100, (1997), pp. 105-137.

  • (Secured PDF) -- Information Filtering Using the Riemannian SVD (R-SVD). E.P. Jiang and M.W. Berry, Proceedings of the Fifth International Symposium on: Solving Irregularly Structured Problems in Parallel, Lecture Notes in Computer Science 1457, A. Ferreira, J. Rolim, H. Simon, and S.-H. Teng (Eds.), Springer-Verlag, (1998), pp. 386-395.

  • (Postscript, PDF, HTML) -- Matrices, Vector Spaces, and Information Retrieval. M.W. Berry, Z. Drmac, and E.R. Jessup. SIAM Review 41:2, (1999), pp. 335-362.

  • (HTML) -- Results Ranking in Web Search Engines. M.P. Courtois and M.W. Berry. Online 23:3, (1999), pp. 39-46.

  • (PDF) -- Mining Consumer Product Data Via Latent Semantic Indexing J. Jiang, M. W. Berry, J. M. Donato, G. Ostrouchov. Intelligent Data Analysis 3:5, (November 1999), pp. 377-398.

  • Solving Total Least Squares Problems in Information Retrieval , E.P. Jiang and M.W. Berry, Linear Algebra and Its Application 316, (2000), pp. 136-157.

  • (PDF) -- The Design and Implementation of Web Presence Indexing Software, J. Eblen, B.L. Baker, M.W. Berry, and M. Browne, Online 25:4, (2001), pp. 60-67.

  • Level Search Schemes for Information Filtering and Retrieval, X. Zhang, M.W. Berry, and P. Raghavan, Information Processing & Management 37:2 (2001), pp. 313-334.

  • (Postscript) -- Efficient Computation of the Riemannian SVD in TLS Problems in Information Retrieval, R.D. Fierro and M.W. Berry, in Total Least Squares and Errors-In-Variables Modeling: Analysis, Algorithms, and Applications, S. van Huffel and P. Lemmerling (Eds.), Kluwer Academic Publishers, Boston, (2002), pp. 349-360.

  • (PDF,HTML) -- Mining Longitudinal Web Queries: Trends and Patterns, P. Wang, M.W. Berry, and Y. Yang, J. of the American Society for Information Science and Technology (JASIST) 54(8), (2003), pp. 743-758.

  • (PDF) -- GTP (General Text Parser) Software for Text Mining, J.T. Giles, L. Wo, and M.W. Berry, in Statistical Data Mining and Knowledge Discovery, H. Bozdogan (Ed.), CRC Press, Boca Raton, (2003), pp. 455-471.

  • (PDF) -- The Semantic Conference Organizer, K. Heinrich, M.W. Berry, J.J. Dongarra, and S. Vadhiyar, in Statistical Data Mining and Knowledge Discovery, H. Bozdogan (Ed.), CRC Press, Boca Raton, (2003), pp. 571-581.

  • (Postscript, PDF) -- Computing Sparse Reduced-Rank Approximations to Sparse Matrices , M.W. Berry, S.A. Pulatova, and G.W. Stewart, Technical Report No. CS-04-525, Department of Computer Science, University of Tennessee, Knoxville, May 2004; ACM Transactions on Mathematical Software 31(2), (2005), pp. 252-269.

  • (PDF) -- Email Surveillance Using Nonnegative Matrix Factorization, M.W. Berry and M. Browne, Computational & Mathematical Organization Theory 11, (2005), pp. 249-264.
  • (PDF) -- Document Clustering Using Nonnegative Matrix Factorization, F. Shahnaz, M.W. Berry, V. Paul Pauca, and R.J. Plemmons, Information Information Processing & Management 42(2), (2006), pp. 373-386.
  • Principal Component Analysis for Information Retrieval, M.W. Berry and D.I. Martin, in Handbook of Parallel Computing and Statistics, Chapman & Hall/CRC Series: Statistics: A Series of Textbooks and Monographs, E. Kontoghiorghes (Ed.), Boca Raton, FL, (2005), pp. 399-413.
  • Mathematical Foundations Behind Latent Semantic Analysis, D.I. Martin and M.W. Berry, in Handbook of Latent Semantic Analysis, T.K. Landauer, D.S. McNamara, S. Dennis, and W. Kintsch (Eds), Lawrence Erlbaum Associates, (2007), pp. 35-55.
  • Out-of-Core SVD Performance for Document Indexing, D.I. Martin, J.C. Martin, M.W. Berry, and M. Browne, Applied Numerical Mathematics, 57(11-12), (2007), pp. 1230-1239. [DOI link]

  • Algorithms and Applications for Approximate Nonnegative Matrix Factorization M.W. Berry, M. Browne, A.N. Langville, V.P. Pauca, and R.J. Plemmons, Computational Statistics & Data Analysis 52(1), (2007), pp. 155-173. [DOI link]

  • Document Classification Techniques for Automated Technology Readiness Level Analysis, B.L. Britt, M.W. Berry, M. Browne, M.A. Merrell, and J. Kolpack, Journal of the American Society for Information Science and Technology 59(4), (2008), pp. 675-680.

  • Scenario Discovery Using Nonnegative Tensor Factorization, Brett W. Bader, Andrey A. Puretskiy, and Michael W. Berry, in Progress in Pattern Recognition, Image Analysis and Applications, Proceedings of the Thirteenth Iberoamerican Congress on Pattern Recognition, CIARP 2008, Havana, Cuba, Lecture Notes in Computer Science (LNCS) 5197, José Ruiz-Shulcloper and Walter G. Kropatsch (Eds.), Springer-Verlag, Berlin, (2008), pp. 791-805. [DOI link]

  • FutureLens: Software for Text Visualization and Tracking, Gregory L. Shutt, Andrey A. Puretskiy, and Michael W. Berry, Text Mining Workshop, Proceedings of the Ninth SIAM International Conference on Data Mining, Sparks, NV, April 30-May 2, 2009, ISBN: 978-0-898716-82-5. [pdf from Proceedings CD]

  • Document Classification Using Nonnegative Matrix Factorization and Underapproximation, Michael W. Berry, Nicolas Gillis, and François Glineur, Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), Taipei, Taiwan, May 24-27, 2009, pp. 2782-2785, ISBN: 978-1-4244-3828-0. [pdf from Proceedings CD]

  • Latent Semantic Indexing, Dian I. Martin and Michael W. Berry, in Encyclopedia of Library and Information Sciences (ELIS), Third Edition, Marcia J. Bates and Mary Niles Maack (Eds.), Taylor & Francis, Oxford, (2010), pp. 3195-3204.

  • A Fast Algorithm for Nonnegative Tensor Factorization using Block Coordinate Descent and an Active-set-type method, Krishnakumar Balasubramanian, Jingu Kim, Andrey A. Puretskiy, Michael W. Berry, and Haesun Park, Text Mining Workshop, Proceedings of the Tenth SIAM International Conference on Data Mining, Columbus, OH, April 29-May 1, 2010, pp. 25-34, ISBN: 978-0-898717-03-7. [pdf from Proceedings CD]

  • The Use of Text Mining Techniques in Electronic Discovery for Legal Matters, M.W. Berry, R. Esau, and B. Kiefer, in Next Generation Search Engines: Advanced Models for Information Retrieval, C. Jouis and I. Biskri (Eds.), IGI Global, 2011. [Book announcement]

  • The Effects of Tabular-Based Content Extraction on Patent Document Clustering, Denise R. Koessler, Benjamin W. Martin, Bruce E. Kiefer, and Michael W. Berry, Algorithms 5(4):490-505, 2012. [DOI link]

  • Identifying Influential Edges in a Directed Network: Big Events, Upsets and Non-transitivity, Michael W. Berry; Timothy P. Chartier; Kevin R. Hutson; Amy N. Langville, Journal of Complex Networks, 2013, [DOI link]

  • Using Semidiscrete Decomposition and Vector Space Models to Identify Users of Social Networks, Denise K. Gosnell and Michael W. Berry, Numerical Linear Algebra With Applications, 22(5):833-844, 2015, [DOI link]

  • Text Mining, Dian I. Martin and Michael W. Berry, in The Princeton Companion to Applied Mathematics, N. Higham et al. (Eds.), Article VII.24, Princeton University Press, Princeton, NJ, 2015, pp. 887-890.

 
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