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KDD
2012
ACM
194views Data Mining» more  KDD 2012»
13 years 9 months ago
A sparsity-inducing formulation for evolutionary co-clustering
Traditional co-clustering methods identify block structures from static data matrices. However, the data matrices in many applications are dynamic; that is, they evolve smoothly o...
Shuiwang Ji, Wenlu Zhang, Jun Liu
189
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CBMS
2006
IEEE
16 years 22 days ago
An Ontology-Driven Mediator for Querying Time-Oriented Biomedical Data
— Most biomedical research databases contain considerable amounts of time-oriented data. However, temporal knowledge about the contextual meaning of such data is not usually repr...
Martin J. O'Connor, Ravi Shankar, Amar K. Das
BMCBI
2010
133views more  BMCBI 2010»
15 years 6 months ago
New components of the Dictyostelium PKA pathway revealed by Bayesian analysis of expression data
Background: Identifying candidate genes in genetic networks is important for understanding regulation and biological function. Large gene expression datasets contain relevant info...
Anup Parikh, Eryong Huang, Christopher Dinh, Blaz ...
RECSYS
2010
ACM
15 years 6 months ago
Interactive recommendations in social endorsement networks
An increasing number of social networking platforms are giving users the option to endorse entities that they find appealing, such as videos, photos, or even other users. We defin...
Theodoros Lappas, Dimitrios Gunopulos
KDD
2007
ACM
220views Data Mining» more  KDD 2007»
16 years 7 months ago
SCAN: a structural clustering algorithm for networks
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
Xiaowei Xu, Nurcan Yuruk, Zhidan Feng, Thomas A. J...