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» Benchmarking Data Mining Algorithms
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ISNN
2004
Springer
15 years 7 months ago
Sparse Bayesian Learning Based on an Efficient Subset Selection
Based on rank-1 update, Sparse Bayesian Learning Algorithm (SBLA) is proposed. SBLA has the advantages of low complexity and high sparseness, being very suitable for large scale pr...
Liefeng Bo, Ling Wang, Licheng Jiao
DMIN
2006
144views Data Mining» more  DMIN 2006»
15 years 3 months ago
Discovering Assignment Rules in Workforce Schedules Using Data Mining
Discovering hidden patterns in large sets of workforce schedules to gain insight into the potential knowledge in workforce schedules are crucial to better understanding the workfor...
Jihong Yan
142
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ACL
2011
14 years 6 months ago
An Algorithm for Unsupervised Transliteration Mining with an Application to Word Alignment
We propose a language-independent method for the automatic extraction of transliteration pairs from parallel corpora. In contrast to previous work, our method uses no form of supe...
Hassan Sajjad, Alexander Fraser, Helmut Schmid
BMCBI
2008
142views more  BMCBI 2008»
15 years 2 months ago
Microarray data mining: A novel optimization-based approach to uncover biologically coherent structures
Background: DNA microarray technology allows for the measurement of genome-wide expression patterns. Within the resultant mass of data lies the problem of analyzing and presenting...
Meng Piao Tan, Erin N. Smith, James R. Broach, Chr...
136
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SDM
2007
SIAM
74views Data Mining» more  SDM 2007»
15 years 3 months ago
HACS: Heuristic Algorithm for Clustering Subsets
The term consideration set is used in marketing to refer to the set of items a customer thought about purchasing before making a choice. While consideration sets are not directly ...
Ding Yuan, W. Nick Street