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Computational information retrieval

edited by Michael W. Berry (Society for Industrial and Applied Mathematics, 2001)

 Abstrak

Computational Information Retrieval Workshop held in October 2000 in Raleigh, North Carolina.
This volume contains selected papers that focus on the use of linear algebra, computational statistics, and computer science in the development of algorithms and software systems for text retrieval. Experts in information modeling and retrieval share their perspectives on the design of scalable but precise text retrieval systems, revealing many of the challenges and obstacles that mathematical and statistical models must overcome to be viable for automated text processing. This very useful proceedings is an excellent companion for courses in information retrieval, applied linear algebra, and applied statistics.
Computational Information Retrieval provides background material on vector space models for text retrieval that applied mathematicians, statisticians, and computer scientists may not be familiar with. For graduate students in these areas, several research questions in information modeling are exposed. In addition, several case studies concerning the efficacy of the popular Latent Semantic Analysis (or Indexing) approach are provided.

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Jenis Koleksi : eBooks
No. Panggil : e20448463
Entri tambahan-Nama orang :
Subjek :
Penerbitan : Philadelphia: Society for Industrial and Applied Mathematics, 2001
Sumber Pengatalogan: LibUI eng rda
Tipe Konten: text
Tipe Media: computer
Tipe Pembawa: online resource
Deskripsi Fisik: xii, 185 pages : illustration
Tautan: http://portal.igpublish.com/iglibrary/search/SIAMB0000294.main.html?1
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e20448463 02-17-934787280 TERSEDIA
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