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» Theoretical Frameworks for Data Mining
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ICDM
2010
IEEE
108views Data Mining» more  ICDM 2010»
14 years 7 months ago
Assessing Data Mining Results on Matrices with Randomization
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
Markus Ojala
TIT
1998
99views more  TIT 1998»
14 years 9 months ago
Information-Theoretic Image Formation
—The emergent role of information theory in image formation is surveyed. Unlike the subject of information-theoretic communication theory, information-theoretic imaging is far fr...
Joseph A. O'Sullivan, Richard E. Blahut, Donald L....
CBMS
2006
IEEE
15 years 1 months ago
A Generic Framework: From Clinical Notes to Electronic Medical Records
Electronic Medical Records are important to manage health data and save lives to improve the quality of service in hospitals. Clinical medical records contain a wealth of informat...
Hyoil Han, Yoori Choi, Yoo Myung Choi, Xiaohua Zho...
KDD
2009
ACM
202views Data Mining» more  KDD 2009»
15 years 10 months ago
Correlated itemset mining in ROC space: a constraint programming approach
Correlated or discriminative pattern mining is concerned with finding the highest scoring patterns w.r.t. a correlation measure (such as information gain). By reinterpreting corre...
Siegfried Nijssen, Tias Guns, Luc De Raedt
BMCBI
2006
183views more  BMCBI 2006»
14 years 10 months ago
Mining gene expression data by interpreting principal components
Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...
Joseph C. Roden, Brandon W. King, Diane Trout, Ali...