223 search results - page 27 / 45 » Knowledge Discovery by Reversing Inductive Knowledge Represe... |
EDBT
2000
ACM
13 years 11 months ago
2000
ACM
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
CINQ
2004
Springer
13 years 11 months ago
2004
Springer
Recently, inductive databases (IDBs) have been proposed to tackle the problem of knowledge discovery from huge databases. With an IDB, the user/analyst performs a set of very diffe...
AMAI
2007
Springer
13 years 7 months ago
2007
Springer
Relational datasets, i.e., datasets in which individuals are described both by their own features and by their relations to other individuals, arise from various sources such as d...
ICTAI
2006
IEEE
14 years 1 months ago
2006
IEEE
The discovery of objects with exceptional behavior is an important challenge from a knowledge discovery standpoint and has attracted much attention recently. In this paper, we pre...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
Genetic-Based Machine Learning Systems (GBML) are comparable in accuracy with other learning methods. However, efficiency is a significant drawback. This paper presents a new rep...