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» Refactoring Methods for Knowledge Bases
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KDD
2004
ACM
148views Data Mining» more  KDD 2004»
15 years 10 months ago
Interestingness of frequent itemsets using Bayesian networks as background knowledge
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
Szymon Jaroszewicz, Dan A. Simovici
DEXA
2007
Springer
132views Database» more  DEXA 2007»
15 years 4 months ago
Exploring Knowledge Management with a Social Semantic Desktop Architecture
The motivation of this paper is to research the individual and the team levels of knowledge management, in order to unveil prominent knowledge needs, interactions and processes, an...
Niki Papailiou, Dimitris Apostolou, Dimitris Panag...
GFKL
2004
Springer
154views Data Mining» more  GFKL 2004»
15 years 3 months ago
Discovering Temporal Knowledge in Multivariate Time Series
Abstract. An overview of the Time Series Knowledge Mining framework to discover knowledge in multivariate time series is given. A hierarchy of temporal patterns, which are not a pr...
Fabian Mörchen, Alfred Ultsch
PODS
2010
ACM
250views Database» more  PODS 2010»
15 years 2 months ago
From information to knowledge: harvesting entities and relationships from web sources
There are major trends to advance the functionality of search engines to a more expressive semantic level. This is enabled by the advent of knowledge-sharing communities such as W...
Gerhard Weikum, Martin Theobald
NN
2007
Springer
105views Neural Networks» more  NN 2007»
14 years 9 months ago
Guiding exploration by pre-existing knowledge without modifying reward
Reinforcement learning is based on exploration of the environment and receiving reward that indicates which actions taken by the agent are good and which ones are bad. In many app...
Kary Främling