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179
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PAKDD
2005
ACM
16 years 10 days ago
2005
ACM
Self-training is a semi-supervised learning algorithm in which a learner keeps on labeling unlabeled examples and retraining itself on an enlarged labeled training set. Since the s...
194
Voted
PKDD
2004
Springer
16 years 6 days ago
2004
Springer
In this paper we propose a novel spatial associative classifier method based on a multi-relational approach that takes spatial relations into account. Classification is driven by s...
186
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KDD
1998
ACM
15 years 11 months ago
1998
ACM
This paper develops the concept of usefulness in the context of supervised learning. We argue that usefulness can be used to improve the performance of classification rules (as me...
201
Voted
ICDM
2006
IEEE
16 years 27 days ago
2006
IEEE
We propose an algorithm for extracting fields from HTML search results. The output of the algorithm is a database table– a data structure that better lends itself to high-level...
212
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MLDM
2007
Springer
16 years 1 months ago
2007
Springer
A Classification Association Rule (CAR), a common type of mined knowledge in Data Mining, describes an implicative co-occurring relationship between a set of binary-valued data-att...