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CIKM
2009
Springer
13 years 8 months ago
Mining data streams with periodically changing distributions
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....
Yingying Tao, M. Tamer Özsu
INFORMATICALT
2008
196views more  INFORMATICALT 2008»
13 years 5 months ago
An Efficient and Sensitive Decision Tree Approach to Mining Concept-Drifting Data Streams
Abstract. Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data blo...
Cheng-Jung Tsai, Chien-I Lee, Wei-Pang Yang
CORR
2004
Springer
122views Education» more  CORR 2004»
13 years 5 months ago
"In vivo" spam filtering: A challenge problem for data mining
Spam, also known as Unsolicited Commercial Email (UCE), is the bane of email communication. Many data mining researchers have addressed the problem of detecting spam, generally by...
Tom Fawcett
ICITA
2005
IEEE
13 years 11 months ago
A Multimedia Traffic Classification Scheme for Intrusion Detection Systems
Intrusion Detection Systems (IDS) have become widely used tools for ensuring system and network security. Among many other challenges, contemporary IDS have to cope with increasin...
Oge Marques, Pierre Baillargeon
KDD
2007
ACM
202views Data Mining» more  KDD 2007»
14 years 5 months ago
Support feature machine for classification of abnormal brain activity
In this study, a novel multidimensional time series classification technique, namely support feature machine (SFM), is proposed. SFM is inspired by the optimization model of suppo...
Wanpracha Art Chaovalitwongse, Ya-Ju Fan, Rajesh C...