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153
Voted
KDD
2006
ACM
147views Data Mining» more  KDD 2006»
16 years 4 months ago
Summarizing itemset patterns using probabilistic models
In this paper, we propose a novel probabilistic approach to summarize frequent itemset patterns. Such techniques are useful for summarization, post-processing, and end-user interp...
Chao Wang, Srinivasan Parthasarathy
KDD
2008
ACM
104views Data Mining» more  KDD 2008»
16 years 4 months ago
Succinct summarization of transactional databases: an overlapped hyperrectangle scheme
Transactional data are ubiquitous. Several methods, including frequent itemsets mining and co-clustering, have been proposed to analyze transactional databases. In this work, we p...
Yang Xiang, Ruoming Jin, David Fuhry, Feodor F. Dr...
145
Voted
ICDM
2005
IEEE
215views Data Mining» more  ICDM 2005»
15 years 9 months ago
CLUGO: A Clustering Algorithm for Automated Functional Annotations Based on Gene Ontology
We address the issue of providing highly informative and comprehensive annotations using information revealed by the structured vocabularies of Gene Ontology (GO). For a target, a...
In-Yee Lee, Jan-Ming Ho, Ming-Syan Chen
ACSW
2007
15 years 5 months ago
Determining Pattern Element Contribution in Medical Datasets
Presented are two novel solutions addressing issues in the application of automated data analysis techniques in the medical domain. The primary aim of our work is to provide medic...
Anna Shillabeer, Darius Pfitzner
148
Voted
JCDL
2009
ACM
127views Education» more  JCDL 2009»
15 years 10 months ago
Finding topic trends in digital libraries
We propose a generative model based on latent Dirichlet allocation for mining distinct topics in document collections by integrating the temporal ordering of documents into the ge...
Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee G...