3542 search results - page 363 / 709 » Phenomenal Data Mining: From Data to Phenomena |
201
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PAKDD
2007
ACM
16 years 28 days ago
2007
ACM
In this study, we propose a novel evolutionary algorithm-based clustering method, named density-sensitive evolutionary clustering (DSEC). In DSEC, each individual is a sequence of ...
153
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ICDM
2006
IEEE
16 years 25 days ago
2006
IEEE
Often, measurement of biological components generates results, that are corrupted by noise. Noise can be caused by various factors like the detectors themselves, sample properties...
176
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PAKDD
2005
ACM
16 years 8 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...
192
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PKDD
2004
Springer
16 years 4 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...
185
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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...