Probability logic modeling of knowledge discovery in databases

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2871, Issue , 2003, Pages 402-407

  Deogun, Jitender ^a   Jiang, Liying ^a   Xie, Ying ^b   Raghavan, Vijay ^b  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^b University of Louisiana at Lafayette   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER CIRCUITS; DECISION MAKING; INFORMATION ANALYSIS; INTELLIGENT SYSTEMS; PROBABILISTIC LOGICS; PROBABILITY; SEMANTICS; DATABASE SYSTEMS; FORMAL LOGIC; MATHEMATICAL MODELS;

IMPORTANT FEATURES; KDD SYSTEM; KNOWLEDGE DISCOVERY IN DATABASE; LOGIC MODELING; PROBABILITY LOGIC; USEFUL PATTERNS;

FORMAL CONCEPT ANALYSIS; KNOWLEDGE ENGINEERING;

KNOWLEDGE DISCOVERY; KNOWLEDGE DISCOVERY IN DATABSES (KDD); PROBABILITY DEDUCTION; PROBABILITY LOGIC MODELING;

EID: 4544375380     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-39592-8_56     Document Type: Conference Paper

References (6)

1. F. Bacchus, 1990, Representing and Reasoning With Probabilistic Knowledge, MIT Press, Cambridge, Massachusetts, London, England.
2. C. H. Papadimitriou, 1993, computational complexity, MIT, 87-91.
3. H. Reichenbach, 1949, Theory of Probability, University of California Press, Berkely.
4. J. Deogun and J. Saquer, preprint 2003, Monotone Concepts for Formal Concept Analysis.
5. R. Wille, 1982, Restructuring Lattice Theory: an Approach Based on Hierarchies of Concepts, in: Ivan Rival, ed., Ordered sets, Reidel, Dordecht-Boston, 445-470.
6. B. Ganter and R. Wille, 1999, Formal Concept Analsis: Mathematical Foundations, Berlin.