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IVS
2006
240views more  IVS 2006»
15 years 6 months ago
Business process impact visualization and anomaly detection
Business operations involve many factors and relationships and are modeled as complex business process workflows. The execution of these business processes generates vast volumes ...
Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, J&oum...
ICWN
2009
15 years 4 months ago
Wireless Sensor Network for Landslide Detection
Abstract-- The power of wireless sensor network techonology has provided the capability of developing large scale systems for real-time monitoring.This paper describes the evolutio...
Maneesha V. Ramesh, Sangeeth Kumar, P. Venkat Rang...
KDD
2005
ACM
193views Data Mining» more  KDD 2005»
16 years 6 months ago
An approach to spacecraft anomaly detection problem using kernel feature space
Development of advanced anomaly detection and failure diagnosis technologies for spacecraft is a quite significant issue in the space industry, because the space environment is ha...
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
ICMLA
2009
16 years 3 months ago
Statistical Decision Making for Authentication and Intrusion Detection
User authentication and intrusion detection differ from standard classification problems in that while we have data generated from legitimate users, impostor or intrusion data is s...
Christos Dimitrakakis, Aikaterini Mitrokotsa
AUSDM
2007
Springer
121views Data Mining» more  AUSDM 2007»
16 years 18 days ago
Using Corpus Analysis to Inform Research into Opinion Detection in Blogs
Opinion detection research relies on labeled documents for training data, either by assumptions based on the document’s origin or by using human assessors to categorise the docu...
Deanna J. Osman, John Yearwood, Peter Vamplew