Knowledge Discovery in Databases Chunnian Liu, Ning Zhong, Setsuo Ohsuga (A ...  Home/Search
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Abstract: this paper, hence not very relevant to KDD. We think that the idea of CILP can be applied to the standard Empirical ILP problem and various ILP techniques: Least General Generalization Relative to Background Knowledge (rlgg) [6], Inverse Resolution [7], Top-Down Specialization [10], etc. Let us look at the Inverse Resolution technique as a case study. This method consists of backward proof steps. An ordinary resolution step takes two clauses C 1 and C 2 and resolves them to produce the... (Update)
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BibTeX entry: (Update)
@misc{ in-constraint,
author = "Knowledge Discovery In",
title = "Constraint Inductive Logic Programming and Its Application to",
url = "citeseer.ist.psu.edu/740271.html" }
Citations (may not include all citations):388 Inductive Logic Programming - Muggleton - 1992
221 Constraint Logic Programming (context) - Ja, Lassez - 1987
214 Constraint Satisfaction in Logic Programming (context) - van Hentenryck - 1989
149 New Generation Computing (context) - Muggleton, Entailment - 1995
36 Inductive Logic Programming and Knowledge Discovery in Datab.. (context) - Dzeroski - 1996
29 Constraint Inductive Logic Programming - Sebag, Rouveirol - 1996
20 Learning Logical De nition from Relations (context) - Quinlan - 1990
6 Languages and Systems (context) - Ja, The et al. - 1992
4 Framework of Knowledge Based Systems - Multiple Meta-Level A.. (context) - Ohsuga - 1990
2 Multi-Layer Logic - A Predicate Logic Including Data Structu.. (context) - Ohsuga, Yamauchi - 1985
2 An Organized Society of Autonomous Knowledge Discovery Agent.. (context) - Zhong, Kakemoto et al. - 1997
2 Planning and Replanning of the KDD Process (context) - Liu, Zhong et al. - 1997
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