000 04161nam a22005055i 4500
001 978-3-540-69587-5
003 DE-He213
005 20160624102058.0
007 cr nn 008mamaa
008 121227s1997 gw | s |||| 0|eng d
020 _a9783540695875
_9978-3-540-69587-5
024 7 _a10.1007/3-540-63514-9
_2doi
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aInductive Logic Programming
_h[electronic resource] :
_b7th International Workshop, ILP-97 Prague, Czech Republic September 17–20, 1997 Proceedings /
_cedited by Nada Lavrač, Sašo Džeroski.
260 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c1997.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c1997.
300 _aX, 318 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science, Lecture Notes in Artificial Intelligence,
_x0302-9743 ;
_v1297
505 0 _aKnowledge discovery in databases: An overview -- On the complexity of some Inductive Logic Programming problems -- Inductive logic programming and constraint logic programming (abstract) -- Learning phonetic rules in a speech recognition system -- Cautious induction in inductive logic programming -- Generating numerical literals during refinement -- Lookahead and discretization in ILP -- Data mining via ILP: The application of Progol to a database of enantioseparations -- Part-of-speech tagging using Progol -- Maximum Entropy modeling with Clausal Constraints -- Mining association rules in multiple relations -- Using logical decision trees for clustering -- Induction of Slovene nominal paradigms -- Normal forms for inductive logic programming -- On a sufficient condition for the existence of most specific hypothesis in progol -- Induction of logic programs with more than one recursive clause by analyzing saturations -- A logical framework for graph theoretical decision tree learning -- Learning with abduction -- Systematic Predicate Invention in Inductive Logic Programming -- Learning programs in the event calculus -- Distance between Herbrand interpretations: A measure for approximations to a target concept -- Realizing Progol by forward reasoning -- Probabilistic first-order classification -- Learning Horn definitions with equivalence and membership queries -- Using abstraction schemata in inductive logic programming -- Distance induction in first order logic -- Carcinogenesis predictions using ILP -- Discovery of first-order regularities in a relational database using ofine candidate determination -- Which hypotheses can be found with inverse entailment?.
520 _aThis book constitutes the refereed proceedings of the 7th International Workshop on Inductive Logic Programming, ILP-97, held in Prague, Czech Republic, in September 1997. The volume presents revised versions of nine papers in long version and 17 short papers accepted after a thorough reviewing process. Also included are three invited papers by Usama Fayyad, Jean-Francois Puget, and Georg Gottlob. Among the topics addressed are various logic programming issues, natural language processing, speech processing, abductive learning, data mining, knowledge discovery, and relational database systems.
650 0 _aComputer science.
650 0 _aArtificial intelligence.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aProgramming Techniques.
700 1 _aLavrač, Nada.
_eeditor.
700 1 _aDžeroski, Sašo.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540635147
786 _dSpringer
830 0 _aLecture Notes in Computer Science, Lecture Notes in Artificial Intelligence,
_x0302-9743 ;
_v1297
856 4 0 _uhttp://dx.doi.org/10.1007/3-540-63514-9
942 _2EBK7268
_cEBK
999 _c36562
_d36562