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» A Data Stream Mining System
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CLOUD
2010
ACM
15 years 11 months ago
Stateful bulk processing for incremental analytics
This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
Dionysios Logothetis, Christopher Olston, Benjamin...
KDD
2007
ACM
149views Data Mining» more  KDD 2007»
16 years 6 months ago
Distributed classification in peer-to-peer networks
This work studies the problem of distributed classification in peer-to-peer (P2P) networks. While there has been a significant amount of work in distributed classification, most o...
Ping Luo, Hui Xiong, Kevin Lü, Zhongzhi Shi
EWMF
2005
Springer
15 years 12 months ago
Introducing Semantics in Web Personalization: The Role of Ontologies
Web personalization is the process of customizing a web site to the needs of each specific user or set of users. Personalization of a web site may be performed by the provision of ...
Magdalini Eirinaki, Dimitrios Mavroeidis, George T...
AUSDM
2008
Springer
221views Data Mining» more  AUSDM 2008»
15 years 8 months ago
Indoor Location Prediction Using Multiple Wireless Received Signal Strengths
This paper presents a framework for indoor location prediction system using multiple wireless signals available freely in public or office spaces. We first proabstract architectur...
Kha Tran, Dinh Q. Phung, Brett Adams, Svetha Venka...
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
16 years 6 months ago
Learning nonstationary models of normal network traffic for detecting novel attacks
Traditional intrusion detection systems (IDS) detect attacks by comparing current behavior to signatures of known attacks. One main drawback is the inability of detecting new atta...
Matthew V. Mahoney, Philip K. Chan