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» Analyzing Large Collections of Email
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KDD
2005
ACM
161views Data Mining» more  KDD 2005»
14 years 8 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
LREC
2008
169views Education» more  LREC 2008»
13 years 9 months ago
A Large-Scale Web Data Collection as a Natural Language Processing Infrastructure
In recent years, language resources acquired from the Web are released, and these data improve the performance of applications in several NLP tasks. Although the language resource...
Keiji Shinzato, Daisuke Kawahara, Chikara Hashimot...
CEAS
2006
Springer
13 years 11 months ago
Using E-Mail Social Network Analysis for Detecting Unauthorized Accounts
In this paper we detail the use of e-mail social network analysis for the detection of security policy violations on computer systems. We begin by formalizing basic policies that ...
Adam J. O'Donnell, Walter C. Mankowski, Jeff Abrah...
SAC
2009
ACM
14 years 17 days ago
Spam decisions on gray e-mail using personalized ontologies
E-mail is one of the most common communication methods among people on the Internet. However, the increase of e-mail misuse/abuse has resulted in an increasing volume of spam e-ma...
Seongwook Youn, Dennis McLeod
ISI
2006
Springer
13 years 7 months ago
Analyzing Entities and Topics in News Articles Using Statistical Topic Models
Statistical language models can learn relationships between topics discussed in a document collection and persons, organizations and places mentioned in each document. We present a...
David Newman, Chaitanya Chemudugunta, Padhraic Smy...