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» A Semi-Supervised Document Clustering Algorithm Based on EM
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CN
2007
168views more  CN 2007»
15 years 1 months ago
Network anomaly detection with incomplete audit data
With the ever increasing deployment and usage of gigabit networks, traditional network anomaly detection based Intrusion Detection Systems (IDS) have not scaled accordingly. Most,...
Animesh Patcha, Jung-Min Park
102
Voted
JUCS
2008
122views more  JUCS 2008»
15 years 1 months ago
Using an Evolving Thematic Clustering in a Text Segmentation Process
Abstract: The thematic text segmentation task consists in identifying the most important thematic breaks in a document in order to cut it into homogeneous passages. We propose in t...
Sylvain Lamprier, Tassadit Amghar, Bernard Levrat,...
KDD
2004
ACM
136views Data Mining» more  KDD 2004»
16 years 2 months ago
A cross-collection mixture model for comparative text mining
In this paper, we define and study a novel text mining problem, which we refer to as Comparative Text Mining (CTM). Given a set of comparable text collections, the task of compara...
ChengXiang Zhai, Atulya Velivelli, Bei Yu
116
Voted
JCST
2008
121views more  JCST 2008»
15 years 1 months ago
Clustering Text Data Streams
Abstract Clustering text data streams is an important issue in data mining community and has a number of applications such as news group filtering, text crawling, document organiza...
Yubao Liu, Jiarong Cai, Jian Yin, Ada Wai-Chee Fu
ICSE
2012
IEEE-ACM
13 years 4 months ago
Synthesizing API usage examples
Abstract—Key program interfaces are sometimes documented with usage examples: concrete code snippets that characterize common use cases for a particular data type. While such doc...
Raymond P. L. Buse, Westley Weimer