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» Discovering Structural Anomalies in Graph-Based Data
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ICDCS
2012
IEEE
11 years 7 months ago
Tiresias: Online Anomaly Detection for Hierarchical Operational Network Data
Operational network data, management data such as customer care call logs and equipment system logs, is a very important source of information for network operators to detect prob...
Chi-Yao Hong, Matthew Caesar, Nick G. Duffield, Ji...
FLAIRS
2003
13 years 6 months ago
Identifying Inhabitants of an Intelligent Environment Using a Graph-Based Data Mining System
The goal of the MavHome smart home project is to build an intelligent home environment that is aware of its inhabitants and their activities. Such a home is designed to provide ma...
Ritesh Mehta, Diane J. Cook, Lawrence B. Holder
WWW
2009
ACM
14 years 5 months ago
Graph based crawler seed selection
This paper identifies and explores the problem of seed selection in a web-scale crawler. We argue that seed selection is not a trivial but very important problem. Selecting proper...
Shuyi Zheng, Pavel Dmitriev, C. Lee Giles
CIDM
2009
IEEE
13 years 11 months ago
Mining for insider threats in business transactions and processes
—Protecting and securing sensitive information are critical challenges for businesses. Deliberate and intended actions such as malicious exploitation, theft or destruction of dat...
William Eberle, Lawrence B. Holder
FLAIRS
2010
13 years 7 months ago
Handling of Numeric Ranges for Graph-Based Knowledge Discovery
Nowadays, graph-based knowledge discovery algorithms do not consider numeric attributes (they are discarded in the preprocessing step, or they are treated as alphanumeric values w...
Oscar E. Romero, Jesus A. Gonzalez, Lawrence B. Ho...