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» Phenomenal Data Mining: From Data to Phenomena
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KDD
2004
ACM
112views Data Mining» more  KDD 2004»
16 years 1 months ago
A rank sum test method for informative gene discovery
Finding informative genes from microarray data is an important research problem in bioinformatics research and applications. Most of the existing methods rank features according t...
Lin Deng, Jian Pei, Jinwen Ma, Dik Lun Lee
SDM
2004
SIAM
211views Data Mining» more  SDM 2004»
15 years 2 months ago
Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
UIC
2010
Springer
14 years 12 months ago
Smart Itinerary Recommendation Based on User-Generated GPS Trajectories
Traveling to unfamiliar regions require a significant effort from novice travelers to plan where to go within a limited duration. In this paper, we propose a smart recommendation...
Hyoseok Yoon, Yu Zheng, Xing Xie, Woontack Woo
KDD
2008
ACM
181views Data Mining» more  KDD 2008»
16 years 1 months ago
Fastanova: an efficient algorithm for genome-wide association study
Studying the association between quantitative phenotype (such as height or weight) and single nucleotide polymorphisms (SNPs) is an important problem in biology. To understand und...
Xiang Zhang, Fei Zou, Wei Wang 0010
KDD
2007
ACM
148views Data Mining» more  KDD 2007»
16 years 1 months ago
Detecting research topics via the correlation between graphs and texts
In this paper we address the problem of detecting topics in large-scale linked document collections. Recently, topic detection has become a very active area of research due to its...
Yookyung Jo, Carl Lagoze, C. Lee Giles