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» Online Data Mining for Co-Evolving Time Sequences
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SDM
2004
SIAM
214views Data Mining» more  SDM 2004»
14 years 11 months ago
Making Time-Series Classification More Accurate Using Learned Constraints
It has long been known that Dynamic Time Warping (DTW) is superior to Euclidean distance for classification and clustering of time series. However, until lately, most research has...
Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
WSDM
2010
ACM
172views Data Mining» more  WSDM 2010»
15 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
KDD
2008
ACM
140views Data Mining» more  KDD 2008»
15 years 10 months ago
On updates that constrain the features' connections during learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Jian Huang 0002
KDD
2006
ACM
172views Data Mining» more  KDD 2006»
15 years 10 months ago
Attack detection in time series for recommender systems
Recent research has identified significant vulnerabilities in recommender systems. Shilling attacks, in which attackers introduce biased ratings in order to influence future recom...
Sheng Zhang, Amit Chakrabarti, James Ford, Fillia ...
ICDM
2003
IEEE
225views Data Mining» more  ICDM 2003»
15 years 3 months ago
Combining the web content and usage mining to understand the visitor behavior in a web site
A web site is a semi structured collection of different kinds of data, whose motivation is show relevant information to visitor and by this way capture her/his attention. Understa...
Juan D. Velásquez, Hiroshi Yasuda, Terumasa...