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Metasearch information fusion using linear programming

Gholam R. Amin, Ali Emrouznejad, Hamid Sadeghi (2012)

RAIRO - Operations Research - Recherche Opérationnelle

For a specific query merging the returned results from multiple search engines, in the form of a metasearch aggregation, can provide significant improvement in the quality of relevant documents. This paper suggests a minimax linear programming (LP) formulation for fusion of multiple search engines results. The paper proposes a weighting method to include the importance weights of the underlying search engines. This is a two-phase approach which in the first phase a new method for computing the importance...

Metasearch information fusion using linear programming

Gholam R. Amin, Ali Emrouznejad, Hamid Sadeghi (2012)

RAIRO - Operations Research

For a specific query merging the returned results from multiple search engines, in the form of a metasearch aggregation, can provide significant improvement in the quality of relevant documents. This paper suggests a minimax linear programming (LP) formulation for fusion of multiple search engines results. The paper proposes a weighting method to include the importance weights of the underlying search engines. This is a two-phase approach which in...

Méthodes ordinales et combinatoires en analyse des données

A. Guenoche, B. Monjardet (1987)

Mathématiques et Sciences Humaines

Après quelques considérations générales sur les relations entre les mathématiques discrètes, l'informatique et l'analyse des données, ce texte présente un ensemble de méthodes utilisant des techniques ordinales ou (et) combinatoires. A une description succinte de chaque méthode sont jointes quelques références relatives à ses aspects théoriques ainsi qu'à ses implémentations accessibles aux utilisateurs. Pour présenter ces méthodes nous les avons classées suivant la nature des tableaux de données...

Methods for Investigation of Dependencies between Attributes in Databases

Georgieva, Tsvetanka (2009)

Serdica Journal of Computing

This paper surveys research in the field of data mining, which is related to discovering the dependencies between attributes in databases. We consider a number of approaches to finding the distribution intervals of association rules, to discovering branching dependencies between a given set of attributes and a given attribute in a database relation, to finding fractional dependencies between a given set of attributes and a given attribute in a database relation, and to collaborative filtering.

Model of adaptation under indeterminacy

Cyril Klimeš (2011)

Kybernetika

Information retrieval in information systems (IS) with large amounts of data is not only a matter of an effective IS architecture and design and technical parameters of computer technology used for operation of the IS, but also of an easy and intuitive orientation in a number of offers and information provided by the IS. Such retrievals in IS are, however, frequently carried out with indeterminate information, which requires other models of orientation in the environment of the IS.

Multidimensional term indexing for efficient processing of complex queries

Michal Krátký, Tomáš Skopal, Václav Snášel (2004)

Kybernetika

The area of Information Retrieval deals with problems of storage and retrieval within a huge collection of text documents. In IR models, the semantics of a document is usually characterized using a set of terms. A common need to various IR models is an efficient term retrieval provided via a term index. Existing approaches of term indexing, e. g. the inverted list, support efficiently only simple queries asking for a term occurrence. In practice, we would like to exploit some more sophisticated...

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