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COCOA
2009
Springer
15 years 8 months ago
Linear Coherent Bi-cluster Discovery via Line Detection and Sample Majority Voting
Discovering groups of genes that share common expression profiles is an important problem in DNA microarray analysis. Unfortunately, standard bi-clustering algorithms often fail t...
Yi Shi, Zhipeng Cai, Guohui Lin, Dale Schuurmans
139
Voted
ICDM
2007
IEEE
169views Data Mining» more  ICDM 2007»
15 years 7 months ago
Efficient Discovery of Frequent Approximate Sequential Patterns
We propose an efficient algorithm for mining frequent approximate sequential patterns under the Hamming distance model. Our algorithm gains its efficiency by adopting a "brea...
Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu
DAGSTUHL
2006
15 years 4 months ago
Automatic Meaning Discovery Using Google
We have found a method to automatically extract the meaning of words and phrases from the world-wide-web using Google page counts. The approach is novel in its unrestricted proble...
Rudi Cilibrasi, Paul M. B. Vitányi
131
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Automatic state discovery for unstructured audio scene classification
In this paper we present a novel scheme for unstructured audio scene classification that possesses three highly desirable and powerful features: autonomy, scalability, and robust...
Julian Ramos, Sajid M. Siddiqi, Artur Dubrawski, G...
JISE
2008
108views more  JISE 2008»
15 years 3 months ago
Efficient Discovery of Frequent Continuities by Projected Window List Technology
Mining frequent patterns in databases is a fundamental and essential problem in data mining research. A continuity is a kind of causal relationship which describes a definite temp...
Kuo-Yu Huang, Chia-Hui Chang, Kuo-Zui Lin