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» Intrusion Detection Based on Data Mining
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GPEM
2007
119views more  GPEM 2007»
14 years 11 months ago
Genomic mining for complex disease traits with "random chemistry"
Our rapidly growing knowledge regarding genetic variation in the human genome offers great potential for understanding the genetic etiology of disease. This, in turn, could revolut...
Margaret J. Eppstein, Joshua L. Payne, Bill C. Whi...
IQ
2007
15 years 1 months ago
Rule-Based Measurement Of Data Quality In Nominal Data
: Sufficiently high data quality is crucial for almost every application. Nonetheless, data quality issues are nearly omnipresent. The reasons for poor quality cannot simply be bla...
Jochen Hipp, Markus Müller, Johannes Hohendor...
ICDM
2003
IEEE
184views Data Mining» more  ICDM 2003»
15 years 5 months ago
Detecting Patterns of Change Using Enhanced Parallel Coordinates Visualization
Analyzing data to find trends, correlations, and stable patterns is an important problem for many industrial applications. In this paper, we propose a new technique based on paral...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Sc...
EDBT
2004
ACM
94views Database» more  EDBT 2004»
15 years 12 months ago
Mining Extremely Skewed Trading Anomalies
Trading surveillance systems screen and detect anomalous trades of equity, bonds, mortgage certificates among others. This is to satisfy federal trading regulations as well as to p...
Wei Fan, Philip S. Yu, Haixun Wang
TKDE
2008
134views more  TKDE 2008»
14 years 11 months ago
Sensor-Based Abnormal Human-Activity Detection
With the availability of affordable sensors and sensor networks, sensor-based human-activity recognition has attracted much attention in artificial intelligence and ubiquitous comp...
Jie Yin, Qiang Yang, Jeffrey Junfeng Pan