The generic rough set inductive logic programming model and motifs in strings

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

Volumn 1711, Issue , 1999, Pages 158-167

  Siromoney, Arul ^a   Inoue, K ^b  

^a ANNA UNIVERSITY   (India)

^b YAMAGUCHI UNIVERSITY   (Japan)

Author keywords

Inductive logic programming; Knowledge discovery from data; Machine learning; Molecular biology; Rough set theory

Indexed keywords

ACTIVATION ANALYSIS; ARTIFICIAL INTELLIGENCE; COMPUTATION THEORY; COMPUTER CIRCUITS; DATA MINING; LEARNING SYSTEMS; LOGIC PROGRAMMING; MOLECULAR BIOLOGY; RECONFIGURABLE HARDWARE; ROUGH SET THEORY; SOFT COMPUTING;

AMINO ACID SEQUENCE; ILP MODELING; INDUCTIVE LOGIC; LOGIC PROGRAMS; NEGATIVE EXAMPLES; TRANS-MEMBRANE DOMAINS;

INDUCTIVE LOGIC PROGRAMMING (ILP);

EID: 0003084214     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-48061-7_20     Document Type: Conference Paper

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