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ICDM
2008
IEEE
141views Data Mining» more  ICDM 2008»
14 years 2 months ago
Scalable Tensor Decompositions for Multi-aspect Data Mining
Modern applications such as Internet traffic, telecommunication records, and large-scale social networks generate massive amounts of data with multiple aspects and high dimensiona...
Tamara G. Kolda, Jimeng Sun
KDD
2005
ACM
162views Data Mining» more  KDD 2005»
14 years 8 months ago
Discovering frequent topological structures from graph datasets
The problem of finding frequent patterns from graph-based datasets is an important one that finds applications in drug discovery, protein structure analysis, XML querying, and soc...
Ruoming Jin, Chao Wang, Dmitrii Polshakov, Sriniva...
ICDM
2009
IEEE
202views Data Mining» more  ICDM 2009»
13 years 5 months ago
Link Prediction on Evolving Data Using Matrix and Tensor Factorizations
Abstract--The data in many disciplines such as social networks, web analysis, etc. is link-based, and the link structure can be exploited for many different data mining tasks. In t...
Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda
KCAP
2005
ACM
14 years 1 months ago
CORDER: COmmunity relation discovery by named entity recognition
We present a text mining method called CORDER [4] which discovers social networks from an organization’s documents. CORDER finds relations between a target named entity and othe...
Jianhan Zhu, Alexandre L. Gonçalves, Victor...
PKDD
2009
Springer
170views Data Mining» more  PKDD 2009»
14 years 2 months ago
Statistical Relational Learning with Formal Ontologies
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
Achim Rettinger, Matthias Nickles, Volker Tresp