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KDD
2009
ACM
210views Data Mining» more  KDD 2009»
13 years 11 months ago
Modeling and predicting user behavior in sponsored search
Implicit user feedback, including click-through and subsequent browsing behavior, is crucial for evaluating and improving the quality of results returned by search engines. Severa...
Josh Attenberg, Sandeep Pandey, Torsten Suel
KDD
2009
ACM
169views Data Mining» more  KDD 2009»
13 years 11 months ago
On burstiness-aware search for document sequences
As the number and size of large timestamped collections (e.g. sequences of digitized newspapers, periodicals, blogs) increase, the problem of efficiently indexing and searching su...
Theodoros Lappas, Benjamin Arai, Manolis Platakis,...
KDD
2009
ACM
160views Data Mining» more  KDD 2009»
13 years 11 months ago
Clustering event logs using iterative partitioning
The importance of event logs, as a source of information in systems and network management cannot be overemphasized. With the ever increasing size and complexity of today’s even...
Adetokunbo Makanju, A. Nur Zincir-Heywood, Evangel...
KDD
2009
ACM
196views Data Mining» more  KDD 2009»
13 years 11 months ago
WhereNext: a location predictor on trajectory pattern mining
The pervasiveness of mobile devices and location based services is leading to an increasing volume of mobility data. This side effect provides the opportunity for innovative meth...
Anna Monreale, Fabio Pinelli, Roberto Trasarti, Fo...
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
13 years 11 months ago
BGP-lens: patterns and anomalies in internet routing updates
The Border Gateway Protocol (BGP) is one of the fundamental computer communication protocols. Monitoring and mining BGP update messages can directly reveal the health and stabilit...
B. Aditya Prakash, Nicholas Valler, David Andersen...
KDD
2009
ACM
266views Data Mining» more  KDD 2009»
13 years 11 months ago
OpinionMiner: a novel machine learning system for web opinion mining and extraction
Merchants selling products on the Web often ask their customers to share their opinions and hands-on experiences on products they have purchased. Unfortunately, reading through al...
Wei Jin, Hung Hay Ho, Rohini K. Srihari
KDD
2009
ACM
193views Data Mining» more  KDD 2009»
13 years 11 months ago
Category detection using hierarchical mean shift
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...
Pavan Vatturi, Weng-Keen Wong
KDD
2009
ACM
213views Data Mining» more  KDD 2009»
13 years 11 months ago
A case study of behavior-driven conjoint analysis on Yahoo!: front page today module
Wei Chu, Seung-Taek Park, Todd Beaupre, Nitin Motg...
KDD
2009
ACM
189views Data Mining» more  KDD 2009»
13 years 11 months ago
CoCo: coding cost for parameter-free outlier detection
How can we automatically spot all outstanding observations in a data set? This question arises in a large variety of applications, e.g. in economy, biology and medicine. Existing ...
Christian Böhm, Katrin Haegler, Nikola S. M&u...
KDD
2009
ACM
161views Data Mining» more  KDD 2009»
13 years 11 months ago
On formal models for social verification
Chien-Ju Ho, Kuan-Ta Chen