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KDD
1995
ACM
129views Data Mining» more  KDD 1995»
13 years 11 months ago
Feature Extraction for Massive Data Mining
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...
V. Seshadri, Raguram Sasisekharan, Sholom M. Weiss
ECML
1987
Springer
13 years 11 months ago
Induction in Noisy Domains
This paper examines the induction of classification rules from examples using real-world data. Real-world data is almost always characterized by two features, which are important ...
Peter Clark, Tim Niblett
LISA
2007
13 years 10 months ago
RepuScore: Collaborative Reputation Management Framework for Email Infrastructure
We propose RepuScore, a collaborative reputation management framework over email infrastrucure, which allows participating organizations to establish sender accountability on the ...
Gautam Singaraju, Brent ByungHoon Kang
CIA
2008
Springer
13 years 10 months ago
Trust-Based Classifier Combination for Network Anomaly Detection
Abstract. We present a method that improves the results of network intrusion detection by integration of several anomaly detection algorithms through trust and reputation models. O...
Martin Rehák, Michal Pechoucek, Martin Gril...
CHI
2005
ACM
13 years 10 months ago
Experience buffers: a socially appropriate, selective archiving tool for evidence-based care
Diagnosis, treatment, and monitoring of interventions for children with autism can profit most when caregivers have substantial amounts of data they can easily record and review a...
Gillian R. Hayes, Khai N. Truong, Gregory D. Abowd...