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» Phenomenal Data Mining: From Data to Phenomena
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WSDM
2010
ACM
242views Data Mining» more  WSDM 2010»
15 years 11 months ago
Improving Ad Relevance in Sponsored Search
We describe a machine learning approach for predicting sponsored search ad relevance. Our baseline model incorporates basic features of text overlap and we then extend the model t...
Dustin Hillard, Stefan Schroedl, Eren Manavoglu, H...
PKDD
2009
Springer
107views Data Mining» more  PKDD 2009»
15 years 8 months ago
Neural Networks for State Evaluation in General Game Playing
Unlike traditional game playing, General Game Playing is concerned with agents capable of playing classes of games. Given the rules of an unknown game, the agent is supposed to pla...
Daniel Michulke, Michael Thielscher
GFKL
2007
Springer
196views Data Mining» more  GFKL 2007»
15 years 7 months ago
Comparison of Recommender System Algorithms Focusing on the New-item and User-bias Problem
Recommender systems are used by an increasing number of e-commerce websites to help the customers to find suitable products from a large database. One of the most popular techniqu...
Stefan Hauger, Karen H. L. Tso, Lars Schmidt-Thiem...
ICDM
2006
IEEE
84views Data Mining» more  ICDM 2006»
15 years 7 months ago
Exploratory Under-Sampling for Class-Imbalance Learning
Under-sampling is a class-imbalance learning method which uses only a subset of major class examples and thus is very efficient. The main deficiency is that many major class exa...
Xu-Ying Liu, Jianxin Wu, Zhi-Hua Zhou
KESAMSTA
2010
Springer
15 years 6 months ago
Classifying Agent Behaviour through Relational Sequential Patterns
Abstract. In Multi-Agent System, observing other agents and modelling their behaviour represents an essential task: agents must be able to quickly adapt to the environment and infe...
Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, ...