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» Optimizing Feature Sets for Structured Data
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FOCS
2000
IEEE
15 years 2 months ago
Opportunistic Data Structures with Applications
There is an upsurging interest in designing succinct data structures for basic searching problems (see [23] and references therein). The motivation has to be found in the exponent...
Paolo Ferragina, Giovanni Manzini
PKDD
2007
Springer
196views Data Mining» more  PKDD 2007»
15 years 3 months ago
Speeding Up Feature Subset Selection Through Mutual Information Relevance Filtering
A relevance filter is proposed which removes features based on the mutual information between class labels and features. It is proven that both feature independence and class condi...
Gert Van Dijck, Marc M. Van Hulle
ECOOP
2012
Springer
13 years 5 days ago
Static Detection of Loop-Invariant Data Structures
As a culture, object-orientation encourages programmers to create objects, both short- and long-lived, without concern for cost. Excessive object creation and initialization can ca...
Guoqing (Harry) Xu, Dacong Yan, Atanas Rountev
ADMA
2006
Springer
172views Data Mining» more  ADMA 2006»
15 years 3 months ago
Experimental Comparison of Feature Subset Selection Using GA and ACO Algorithm
Abstract. Practical pattern classification and knowledge discovery problems require selecting a useful subset of features from a much larger set to represent the patterns to be cl...
Keunjoon Lee, Jinu Joo, Jihoon Yang, Vasant Honava...
KDD
2004
ACM
285views Data Mining» more  KDD 2004»
15 years 3 months ago
Effective localized regression for damage detection in large complex mechanical structures
In this paper, we propose a novel data mining technique for the efficient damage detection within the large-scale complex mechanical structures. Every mechanical structure is defi...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...