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» The Predictability of Data Values
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90
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ICIW
2009
IEEE
15 years 9 months ago
SS-IDS: Statistical Signature Based IDS
Security of web servers has become a sensitive subject today. Prediction of normal and abnormal request is problematic due to large number of false alarms in many anomaly based In...
Payas Gupta, Chedy Raïssi, Gérard Dray...
152
Voted
EDM
2009
147views Data Mining» more  EDM 2009»
15 years 12 days ago
Using Dirichlet priors to improve model parameter plausibility
Student modeling is a widely used approach to make inference about a student's attributes like knowledge, learning, etc. If we wish to use these models to analyze and better u...
Dovan Rai, Yue Gong, Joseph Beck
128
Voted
WWW
2007
ACM
16 years 3 months ago
Adding Value to Biodiversity Images Through Community Annotation
Morphbank, an on-line collection of museum-quality biological images, is an NSF funded project designed to facilitate the on-line collaboration of biologists from around the world...
Gregory A. Riccardi
111
Voted
CHI
2010
ACM
15 years 9 months ago
A case study of micro-blogging in the enterprise: use, value, and related issues
This is a case study about the early adoption and use of micro-blogging in a Fortune 500 company. The study used several independent data sources: five months of empirical micro-b...
Jun Zhang, Yan Qu, Jane Cody, Yulingling Wu
ICARIS
2005
Springer
15 years 8 months ago
A Comparative Study of Real-Valued Negative Selection to Statistical Anomaly Detection Techniques
The (randomized) real-valued negative selection algorithm is an anomaly detection approach, inspired by the negative selection immune system principle. The algorithm was proposed t...
Thomas Stibor, Jonathan Timmis, Claudia Eckert