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» OIDM: Online Interactive Data Mining
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ICDCSW
2003
IEEE
14 years 1 months ago
Revealing the Retail Black Box by Interaction Sensing
Today a huge variety of methods to track and analyze the customers’ behavior in e-commerce systems is available. However, in traditional retail stores such systems are not widel...
Christian Decker, Uwe Kubach, Michael Beigl
BMCBI
2008
149views more  BMCBI 2008»
13 years 8 months ago
All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning
Background: Automated extraction of protein-protein interactions (PPI) is an important and widely studied task in biomedical text mining. We propose a graph kernel based approach ...
Antti Airola, Sampo Pyysalo, Jari Björne, Tap...
WSDM
2012
ACM
301views Data Mining» more  WSDM 2012»
12 years 3 months ago
Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization
As massive repositories of real-time human commentary, social media platforms have arguably evolved far beyond passive facilitation of online social interactions. Rapid analysis o...
Ankan Saha, Vikas Sindhwani
WSDM
2010
ACM
172views Data Mining» more  WSDM 2010»
14 years 5 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
2006
ACM
167views Data Mining» more  KDD 2006»
14 years 8 months ago
Identifying "best bet" web search results by mining past user behavior
The top web search result is crucial for user satisfaction with the web search experience. We argue that the importance of the relevance at the top position necessitates special h...
Eugene Agichtein, Zijian Zheng