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» Anomaly Detection Using Process Mining
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SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
14 years 6 months ago
Near-optimal Supervised Feature Selection among Frequent Subgraphs.
Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, computerised scene analysis, and an...
Alexander J. Smola, Arthur Gretton, Hans-Peter Kri...
KAIS
2006
172views more  KAIS 2006»
13 years 9 months ago
CoMMA: a framework for integrated multimedia mining using multi-relational associations
Generating captions or annotations automatically for still images is a challenging task. Traditionally, techniques involving higher-level (semantic) object detection and complex f...
Ankur Teredesai, Muhammad A. Ahmad, Juveria Kanodi...
BDIM
2008
IEEE
205views Business» more  BDIM 2008»
14 years 4 months ago
Mining semantic relations using NetFlow
—Knowing the dependencies among computing assets and services provides insights into the computing and business landscape, therefore, facilitating low-risk timely changes in supp...
Alexandru Caracas, Andreas Kind, Dieter Gantenbein...
ISVC
2007
Springer
14 years 3 months ago
Motion Projection for Floating Object Detection
Abstract. Floating mines are a significant threat to the safety of ships in theatres of military or terrorist conflict. Automating mine detection is difficult, due to the unpredict...
Zhaoyi Wei, Dah-Jye Lee, David Jilk, Robert B. Sch...
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
14 years 10 months ago
V-Miner: using enhanced parallel coordinates to mine product design and test data
Analyzing data to find trends, correlations, and stable patterns is an important task in many industrial applications. This paper proposes a new technique based on parallel coordi...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Sc...