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» Benchmarking Data Mining Algorithms
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127
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ICDM
2007
IEEE
227views Data Mining» more  ICDM 2007»
15 years 10 months ago
Optimal Subsequence Bijection
We consider the problem of elastic matching of sequences of real numbers. Since both a query and a target sequence may be noisy, i.e., contain some outlier elements, it is desirab...
Longin Jan Latecki, Qiang Wang, Suzan Koknar-Tezel...
135
Voted
ICDM
2005
IEEE
151views Data Mining» more  ICDM 2005»
15 years 9 months ago
A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria
In this paper, we propose a semi-supervised framework for learning a weighted Euclidean subspace, where the best clustering can be achieved. Our approach capitalizes on user-const...
Maria Halkidi, Dimitrios Gunopulos, Nitin Kumar, M...
123
Voted
RSFDGRC
1999
Springer
135views Data Mining» more  RSFDGRC 1999»
15 years 8 months ago
The Iterated Version Space Learning
Inspired with Version Space learning, the Iterated Version Space Algorithm (IVSA) has been designed and implemented to learn disjunctive concepts. IVSA dynamically partitions its s...
Jianna Jian Zhang, Nick Cercone
124
Voted
IPL
2008
135views more  IPL 2008»
15 years 3 months ago
On the Positive-Negative Partial Set Cover problem
The Positive-Negative Partial Set Cover problem is introduced and its complexity, especially the hardness-of-approximation, is studied. The problem generalizes the Set Cover probl...
Pauli Miettinen
KDD
2009
ACM
187views Data Mining» more  KDD 2009»
16 years 4 months ago
New ensemble methods for evolving data streams
Advanced analysis of data streams is quickly becoming a key area of data mining research as the number of applications demanding such processing increases. Online mining when such...
Albert Bifet, Bernhard Pfahringer, Geoffrey Holmes...