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» Using a Hash-Based Method for Apriori-Based Graph Mining
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SIGMOD
2008
ACM
191views Database» more  SIGMOD 2008»
14 years 8 months ago
Efficient aggregation for graph summarization
Graphs are widely used to model real world objects and their relationships, and large graph datasets are common in many application domains. To understand the underlying character...
Yuanyuan Tian, Richard A. Hankins, Jignesh M. Pate...
WWW
2009
ACM
14 years 9 months ago
Smart Miner: a new framework for mining large scale web usage data
In this paper, we propose a novel framework called SmartMiner for web usage mining problem which uses link information for producing accurate user sessions and frequent navigation...
Murat Ali Bayir, Ismail Hakki Toroslu, Ahmet Cosar...
IDA
2010
Springer
13 years 7 months ago
Selecting the Links in BisoNets Generated from Document Collections
According to Koestler, the notion of a bisociation denotes a connection between pieces of information from habitually separated domains or categories. In this paper, we consider a ...
Marc Segond, Christian Borgelt
KDD
2003
ACM
155views Data Mining» more  KDD 2003»
14 years 9 months ago
Graph-based anomaly detection
Anomaly detection is an area that has received much attention in recent years. It has a wide variety of applications, including fraud detection and network intrusion detection. A ...
Caleb C. Noble, Diane J. Cook
ICDM
2005
IEEE
190views Data Mining» more  ICDM 2005»
14 years 2 months ago
Neighborhood Formation and Anomaly Detection in Bipartite Graphs
Many real applications can be modeled using bipartite graphs, such as users vs. files in a P2P system, traders vs. stocks in a financial trading system, conferences vs. authors ...
Jimeng Sun, Huiming Qu, Deepayan Chakrabarti, Chri...