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» Modeling Relational Data as Graphs for Mining
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KDD
2006
ACM
175views Data Mining» more  KDD 2006»
16 years 4 months ago
A mixture model for contextual text mining
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
Qiaozhu Mei, ChengXiang Zhai
KDD
2007
ACM
154views Data Mining» more  KDD 2007»
16 years 4 months ago
An event-based framework for characterizing the evolutionary behavior of interaction graphs
Interaction graphs are ubiquitous in many fields such as bioinformatics, sociology and physical sciences. There have been many studies in the literature targeted at studying and m...
Sitaram Asur, Srinivasan Parthasarathy, Duygu Ucar
PSD
2004
Springer
186views Database» more  PSD 2004»
15 years 9 months ago
Privacy Preserving and Data Mining in an On-Line Statistical Database of Additive Type
In an on-line statistical database, the query-answering system should prevent answers to statistical queries from leading to disclosure of confidential data. On the other hand, a s...
Francesco M. Malvestuto, Mauro Mezzini
NIPS
2003
15 years 5 months ago
Link Prediction in Relational Data
Many real-world domains are relational in nature, consisting of a set of objects related to each other in complex ways. This paper focuses on predicting the existence and the type...
Benjamin Taskar, Ming Fai Wong, Pieter Abbeel, Dap...
ICDM
2007
IEEE
124views Data Mining» more  ICDM 2007»
15 years 10 months ago
Community Learning by Graph Approximation
Learning communities from a graph is an important problem in many domains. Different types of communities can be generalized as link-pattern based communities. In this paper, we p...
Bo Long, Xiaoyun Xu, Zhongfei (Mark) Zhang, Philip...