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PAKDD
2010
ACM
171views Data Mining» more  PAKDD 2010»
13 years 7 months ago
Summarizing Multidimensional Data Streams: A Hierarchy-Graph-Based Approach
With the rapid development of information technology, many applications have to deal with potentially infinite data streams. In such a dynamic context, storing the whole data stre...
Yoann Pitarch, Anne Laurent, Pascal Poncelet
PKDD
2010
Springer
122views Data Mining» more  PKDD 2010»
13 years 7 months ago
Exploration in Relational Worlds
Abstract. One of the key problems in model-based reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large relational domains, in wh...
Tobias Lang, Marc Toussaint, Kristian Kersting
PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
13 years 7 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
SDM
2012
SIAM
238views Data Mining» more  SDM 2012»
11 years 11 months ago
Evaluating Event Credibility on Twitter
Though Twitter acts as a realtime news source with people acting as sensors and sending event updates from all over the world, rumors spread via Twitter have been noted to cause c...
Manish Gupta, Peixiang Zhao, Jiawei Han
KDD
2001
ACM
226views Data Mining» more  KDD 2001»
14 years 9 months ago
Mining from open answers in questionnaire data
Surveys are an important part of marketing and customer relationship management, and open answers (i.e., answers to open questions) in particular may contain valuable information ...
Hang Li, Kenji Yamanishi