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WSDM
2010
ACM
172views Data Mining» more  WSDM 2010»
14 years 7 months ago
Early Online Identification of Attention Gathering Items In Social Media
Activity in social media such as blogs, micro-blogs, social networks, etc is manifested via interaction that involves text, images, links and other information items. Naturally, s...
Michael Mathioudakis, Nick Koudas, Peter Marbach
WECWIS
2002
IEEE
131views ECommerce» more  WECWIS 2002»
14 years 2 months ago
Mining Client-Side Activity for Personalization
“Garbage in. garbage out” is a well-known phrase in computer analysis, and one that comes to mind when mining Web data to draw conclusions about Web users. The challenge is th...
Kurt D. Fenstermacher, Mark Ginsburg
FLAIRS
2003
13 years 11 months ago
Identifying Inhabitants of an Intelligent Environment Using a Graph-Based Data Mining System
The goal of the MavHome smart home project is to build an intelligent home environment that is aware of its inhabitants and their activities. Such a home is designed to provide ma...
Ritesh Mehta, Diane J. Cook, Lawrence B. Holder
ICDM
2008
IEEE
137views Data Mining» more  ICDM 2008»
14 years 4 months ago
Stream Sequential Pattern Mining with Precise Error Bounds
Sequential pattern mining is an interesting data mining problem with many real-world applications. This problem has been studied extensively in static databases. However, in recen...
Luiz F. Mendes, Bolin Ding, Jiawei Han
PKDD
2005
Springer
138views Data Mining» more  PKDD 2005»
14 years 3 months ago
Indexed Bit Map (IBM) for Mining Frequent Sequences
Sequential pattern mining has been an emerging problem in data mining. In this paper, we propose a new algorithm for mining frequent sequences. It processes only one scan of the da...
Lionel Savary, Karine Zeitouni