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Salton, G.; Wong, A.: Generation and search of clustered files (1978) 0.00

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Type: a

Salton, G.: ¬A new comparison between conventional indexing (MEDLARS) and automatic text processing (SMART) (1972) 0.00

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Type: a

Salton, G.; Wong, A.; Yang, C.S.: ¬A vector space model for automatic indexing (1975) 0.00

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Type: a

Salton, G.: Fast document classification in automatic information retrieval (1978) 0.00

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Abstract: A classified or clustered file is one where related or similar records are grouped into classes or clusters of items in such a way that all itmes within a cluster are jointly retrievable. Clustered files are easily adapted to to broad and narrow search strategies, and simple file updating methods are available. An inexpensive file clustering method applicable to large files is given together with appropriate file search methods
Type: a

Salton, G.: ¬A theory of indexing (1975) 0.00

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Salton, G.; Yang, C.S.: On the specification of term values in automatic indexing (1973) 0.00

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Type: a

Salton, G.; Waldstein, R.H.: Term relevance weights in on-line information retrieval (1978) 0.00

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Type: a

Yu, C.T.; Salton, G.: Effective information retrieval using term accuracy (1971) 0.00

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Yu, C.T.; Salton, G.: Precision weighting : an effective automatic indexing method (1976) 0.00

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Yu, C.T.; Salton, G.; Siu, M.K.: Effective automatic indexing using term addition and deletion (1978) 0.00

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Salton, G.: Mathematics and information retrieval (1979) 0.00
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Abstract

The development of a given discipline in science and technology often depends on the availability of theorie capable of describing the processes which control the field and of modelling the interactions between the processes. The absence of an accepted theory of information retrieval has benn blamed for the relative disorder and the lack of technical advances in the area. The main mathematical approaches to information retrieval are examined in this study, including both algebraic and probabilistic models, and the difficulties which impede the formalization of information retrieval processes are described. A number of developments are covered where new theoretical understandings have directly led to the improvemenet of retrieval techniques and operations

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a

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