@inbook{26f16d5c9ffd4918aa21e3a98343abcf,
title = "Identification of Terrorist Web Sites with Cross-Lingual Classification Tools",
abstract = "The following sections are included: • Introduction • Document Categorization and Classification • Selected Applications of Web Document Classification • Automatic Web News Extraction • Personalization and E-Commerce • Organization of Web Document Collections • Multi-Lingual Applications • Document Representation • Traditional Text Models • Web Document Models • Graph Based Representations of Web Documents • Graph Structure • Term Extraction Methods • Na{\"i}ve Extraction • Smart Extraction • Frequent Sub-Graph Extraction Problem • Cross-Lingual Web Document Classification with Graphs • Representation and Classification Process • Web Document Representation Example • Case Study: Identification of Terrorist Web Sites in Arabic • About Document Collection • Preprocessing of Documents in Arabic • Experiment and Evaluation of Results • Conclusions • Acknowledgment.",
author = "Alex Markov and Mark Last",
note = "Publisher Copyright: {\textcopyright} 2005 by World Scientific Publishing Co. Pte. Ltd.",
year = "2005",
doi = "10.1142/9789812703255_0008",
language = "English",
isbn = "978-9-81256-493-1",
series = "Series in Machine Perception and Artificial Intelligence",
publisher = "World Scientific Publishing Co.",
pages = "117--141",
editor = "Mark Last and Abraham kandel",
booktitle = "Fighting Terror In Cyberspace",
address = "United States",
}
