Detecting duplicate biological entities using Markov random field-based edit distance

Detecting duplicate entities in biological data is an important research task. In this paper, we propose a novel and context-sensitive Markov random field-based edit distance (MRFED) for this task. We apply the Markov random field theory to the Needleman–Wunsch distance and combine MRFED with TFIDF,...

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Veröffentlicht in:	Knowledge and information systems 2010-11, Vol.25 (2), p.371-387
Hauptverfasser:	Song, Min, Rudniy, Alex
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithmics. Computability. Computer arithmetics Algorithms Applied sciences Bioinformatics Biological Collection Computer Science Computer science control theory systems Computer systems and distributed systems. User interface Data Mining and Knowledge Discovery Database Management Exact sciences and technology Experiments Information management Information Storage and Retrieval Information systems Information Systems and Communication Service Information Systems Applications (incl.Internet) Information systems. Data bases IT in Business Markov analysis Markov processes Matching Memory organisation. Data processing NMR Nuclear magnetic resonance Proteins Regular Paper Reproduction Similarity measures Software Studies Tasks Theoretical computing
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