Last, Mark - Department of Information Systems Engineering, Ben-Gurion University

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Last, Mark - Department of Information Systems Engineering, Ben-Gurion University

Filtering Multi-Lingual Terrorist ContentMark Last (BGU) Filtering Multi-Lingual Terrorist
Using Data Mining Techniques for Detecting Terror-Related Activities on the Web
International Journal of Production Research, Vol. 45, No. 13, 1 July 2007, 30593084
Anytime Algorithm for Feature Selection , Abraham Kandel
Abstract -Data miners have often to deal with data sets of limited size due to economic, timing and other
A Compact Representation of Spatio-Temporal Data Sigal Elnekave, Mark Last
Enhanced Anytime Algorithm for Induction of Oblivious Decision Trees
Online Classification of Nonstationary Data Streams Ben-Gurion University of the Negev
A Feature-Based Serial Approach to Classifier Combination A Feature-Based Serial Approach to Classifier Combination
Detection of Access to Terror-Related Web Sites Using an Advanced Terror Detection System (ATDS)
Predicting and Optimizing Classifier Utility with the Power Law Ben-Gurion University of the Negev, Israel
2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new
Automated Detection of Outliers in Real-World Data Department of Information Systems Engineering
Predicting Future Locations Using Clusters' Centroids Sigal Elnekave
Filtering of Multi-Lingual Terrorist ContentMark Last (BGU) Filtering of Multi-Lingual
Fuzzification and Reduction of Information-Theoretic Rule Sets
Utilization of Data-Mining Techniques for Evaluation of Patterns of Asthma Drugs Use by Ambulatory Patients in a Large Health Maintenance