Sciweavers

578 search results - page 2 / 116
» On effective presentation of graph patterns: a structural re...
Sort
View
ICTAI
2008
IEEE
13 years 11 months ago
Discovering Program's Behavioral Patterns by Inferring Graph-Grammars from Execution Traces
Frequent patterns in program executions represent recurring sequences of events. These patterns can be used to reveal the hidden structures of a program, and ease the comprehensio...
Chunying Zhao, Keven Ates, Jun Kong, Kang Zhang
IDA
2007
Springer
13 years 4 months ago
Anomaly detection in data represented as graphs
An important area of data mining is anomaly detection, particularly for fraud. However, little work has been done in terms of detecting anomalies in data that is represented as a g...
William Eberle, Lawrence B. Holder
FQAS
2004
Springer
146views Database» more  FQAS 2004»
13 years 8 months ago
Discovering Representative Models in Large Time Series Databases
The discovery of frequently occurring patterns in a time series could be important in several application contexts. As an example, the analysis of frequent patterns in biomedical ...
Simona E. Rombo, Giorgio Terracina
DEXAW
1999
IEEE
119views Database» more  DEXAW 1999»
13 years 9 months ago
Structure-Based Similarity Search with Graph Histograms
Objects like road networks, CAD/CAM components, electrical or electronic circuits, molecules, can be represented as graphs, in many modern applications. In this paper, we propose ...
Apostolos Papadopoulos, Yannis Manolopoulos
FLAIRS
2009
13 years 2 months ago
Discovering Anomalies to Multiple Normative Patterns in Structural and Numeric Data
One of the primary issues with traditional anomaly detection approaches is their inability to handle complex, structural data. One approach to this issue involves the detection of...
William Eberle, Lawrence B. Holder