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» Rule-Based Measurement Of Data Quality In Nominal Data
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KDD
2009
ACM
210views Data Mining» more  KDD 2009»
15 years 6 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
ICDM
2008
IEEE
123views Data Mining» more  ICDM 2008»
15 years 6 months ago
Discovering Flow Anomalies: A SWEET Approach
Given a percentage-threshold and readings from a pair of consecutive upstream and downstream sensors, flow anomaly discovery identifies dominant time intervals where the fractio...
James M. Kang, Shashi Shekhar, Christine Wennen, P...
IPMI
2005
Springer
15 years 5 months ago
Fundamental Limits in 3D Landmark Localization
This work analyses the accuracy of estimating the location of 3D landmarks and characteristic image structures. Based on nonlinear estimation theory we study the minimal stochastic...
Karl Rohr
PVLDB
2010
159views more  PVLDB 2010»
14 years 10 months ago
Explore or Exploit? Effective Strategies for Disambiguating Large Databases
Data ambiguity is inherent in applications such as data integration, location-based services, and sensor monitoring. In many situations, it is possible to “clean”, or remove, ...
Reynold Cheng, Eric Lo, Xuan Yang, Ming-Hay Luk, X...
WSDM
2009
ACM
178views Data Mining» more  WSDM 2009»
15 years 6 months ago
User Browsing Graph: Structure, Evolution and Application
This paper focuses on ‘user browsing graph’ which is constructed with users’ click-through behavior modeled with Web access logs. User browsing graph has recently been adopt...
Yiqun Liu, Min Zhang, Shaoping Ma, Liyun Ru