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KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 7 months ago
Heterogeneous source consensus learning via decision propagation and negotiation
Nowadays, enormous amounts of data are continuously generated not only in massive scale, but also from different, sometimes conflicting, views. Therefore, it is important to conso...
Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han
KDD
2004
ACM
136views Data Mining» more  KDD 2004»
16 years 7 months ago
A cross-collection mixture model for comparative text mining
In this paper, we define and study a novel text mining problem, which we refer to as Comparative Text Mining (CTM). Given a set of comparable text collections, the task of compara...
ChengXiang Zhai, Atulya Velivelli, Bei Yu
BMCBI
2010
131views more  BMCBI 2010»
15 years 6 months ago
Prediction of epigenetically regulated genes in breast cancer cell lines
Background: Methylation of CpG islands within the DNA promoter regions is one mechanism that leads to aberrant gene expression in cancer. In particular, the abnormal methylation o...
Leandro A. Loss, Anguraj Sadanandam, Steffen Durin...
BMCBI
2006
143views more  BMCBI 2006»
15 years 6 months ago
Discovering functional gene expression patterns in the metabolic network of Escherichia coli with wavelets transforms
Background: Microarray technology produces gene expression data on a genomic scale for an endless variety of organisms and conditions. However, this vast amount of information nee...
Rainer König, Gunnar Schramm, Marcus Oswald, ...
ICDE
2010
IEEE
227views Database» more  ICDE 2010»
16 years 1 months ago
Incorporating partitioning and parallel plans into the SCOPE optimizer
— Massive data analysis on large clusters presents new opportunities and challenges for query optimization. Data partitioning is crucial to performance in this environment. Howev...
Jingren Zhou, Per-Åke Larson, Ronnie Chaiken