Soft Computing in Information Retrieval Techniques and Applications /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Crestani, Fabio (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Pasi, Gabriella (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Heidelberg : Physica-Verlag HD : Imprint: Physica, 2000.
• Έκδοση: 1st ed. 2000.
• Σειρά: Studies in Fuzziness and Soft Computing, 50
• Θέματα: Information storage and retrieval.; Artificial intelligence.; Information technology.; Business-Data processing.; Information Storage and Retrieval.; Artificial Intelligence.; IT in Business.

Information retrieval (IR) aims at defining systems able to provide a fast and effective content-based access to a large amount of stored information. The aim of an IR system is to estimate the relevance of documents to users' information needs, expressed by means of a query. This is a very dif...

Πίνακας περιεχομένων:

• I. Fuzzy Set Theory
• A Framework for Linguistic and Hierarchical Queries in Document Retrieval
• Application of Fuzzy Set Theory to Extend Boolean Information Retrieval
• A Model of Intelligent Information Retrieval Using Fuzzy Tolerance Relations Based on Hierarchical Co-Occurrence of Words
• II. Neural Networks
• Visual Keywords: from Text Retrieval to Multimedia Retrieval
• Document Classification with Unsupervised Artificial Neural Networks
• The Java Search Agent Workshop
• A Connectionist Approach to Content Access in Documents: Application to Detection of Jokes
• III. Genetic Algorithms
• Connectionist and Genetic Approaches for Information Retrieval
• Large Population or Many Generations for Genetic Algorithms? Implications in Information Retrieval
• IV. Evidential and Probabilistic Reasoning
• A Logical Information Retrieval Model Based on a Combination of Propositional Logic and Probability Theory
• Bayesian Network Models for Information Retrieval
• Probabilistic Learning by Uncertainty Sampling with Non-Binary Relevance
• V. Rough Sets Theory, Multivalued Logics, and Other Approaches
• Granulär Information Retrieval
• A Framework for the Retrieval of Multimedia Objects Based on Four-Valued Fuzzy Description Logics
• Rough and Fuzzy Sets for Data Mining of a Controlled Vocabulary for Textual Retrieval
• Rough Sets and Multisets in a Model of Information Retrieval.