PLANMINE: Predicting plan failures using sequence mining

Artificial Intelligence Review

Volumn 14, Issue 6, 2000, Pages 421-446

  Zaki, Mohammed J ^a   Lesh, Neal ^b   Ogihara, Mitsunori ^c  

^a Rensselaer Polytechnic Institute   (United States)

^b MITSUBISHI ELECTRIC RESEARCH LABORATORIES   (United States)

^c University of Rochester   (United States)

Author keywords

Plan monitoring; Predicting failures; Sequence mining

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; PLANNING; PROBABILISTIC LOGICS;

PLAN MONITORING; PREDICTING FAILURES; SEQUENCE MINING;

DATA MINING;

EID: 0034457239     PISSN: 02692821     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1006612804250     Document Type: Article

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