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» MING: mining informative entity relationship subgraphs
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JCP
2006
173views more  JCP 2006»
14 years 10 months ago
Database Intrusion Detection using Weighted Sequence Mining
Data mining is widely used to identify interesting, potentially useful and understandable patterns from a large data repository. With many organizations focusing on webbased on-lin...
Abhinav Srivastava, Shamik Sural, Arun K. Majumdar
SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
15 years 7 months ago
Detecting Communities in Social Networks Using Max-Min Modularity.
Many datasets can be described in the form of graphs or networks where nodes in the graph represent entities and edges represent relationships between pairs of entities. A common ...
Jiyang Chen, Osmar R. Zaïane, Randy Goebel
NLUCS
2008
14 years 11 months ago
Ontology-driven Vaccination Information Extraction
Increasingly, medical institutions have access to clinical information through computers. The need to process and manage the large amount of data is motivating the recent interest ...
Liliana Ferreira, António Teixeira, Jo&atil...
IEAAIE
2009
Springer
15 years 4 months ago
Incremental Mining of Ontological Association Rules in Evolving Environments
The process of knowledge discovery from databases is a knowledge intensive, highly user-oriented practice, thus has recently heralded the development of ontology-incorporated data ...
Ming-Cheng Tseng, Wen-Yang Lin
KDD
2008
ACM
202views Data Mining» more  KDD 2008»
15 years 10 months ago
Data and Structural k-Anonymity in Social Networks
The advent of social network sites in the last years seems to be a trend that will likely continue. What naive technology users may not realize is that the information they provide...
Alina Campan, Traian Marius Truta