Title :
Markov models for clusters in concordance compression
Author :
Bookstein, A. ; Klein, S.T. ; Raita, T.
Author_Institution :
Center for Inf. & Language Studies, Chicago Univ., IL, USA
Abstract :
An earlier paper developed a procedure for compressing concordances, assuming that all elements occurred independently. In this paper, the earlier models are extended to take the possibility of clustering into account. The authors suggest several models adapted to concordances of large full-text information retrieval systems, which are generally subject to clustering
Keywords :
Markov processes; data compression; image coding; information retrieval systems; word processing; Markov models; clustering; concordance compression; full-text information retrieval systems; Data structures; Databases; Delay; Dictionaries; Information retrieval; Pattern matching; Query processing;
Conference_Titel :
Data Compression Conference, 1994. DCC '94. Proceedings
Conference_Location :
Snowbird, UT
Print_ISBN :
0-8186-5637-9
DOI :
10.1109/DCC.1994.305919