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123
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CORR
2010
Springer
173views Education» more  CORR 2010»
14 years 10 months ago
Mining Multi-Level Frequent Itemsets under Constraints
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
Mohamed Salah Gouider, Amine Farhat
CORR
2010
Springer
179views Education» more  CORR 2010»
14 years 9 months ago
Comparison of Support Vector Machine and Back Propagation Neural Network in Evaluating the Enterprise Financial Distress
Recently, applying the novel data mining techniques for evaluating enterprise financial distress has received much research alternation. Support Vector Machine (SVM) and back prop...
Ming-Chang Lee, To Chang
147
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CORR
2010
Springer
135views Education» more  CORR 2010»
14 years 7 months ago
Top-K Color Queries for Document Retrieval
In this paper we describe a new efficient (in fact optimal) data structure for the top-K color problem. Each element of an array A is assigned a color c with priority p(c). For a ...
Marek Karpinski, Yakov Nekrich
98
Voted
CORR
2010
Springer
91views Education» more  CORR 2010»
14 years 7 months ago
Switching between Hidden Markov Models using Fixed Share
In prediction with expert advice the goal is to design online prediction algorithms that achieve small regret (additional loss on the whole data) compared to a reference scheme. I...
Wouter M. Koolen, Tim van Erven
118
Voted
CORR
2010
Springer
152views Education» more  CORR 2010»
14 years 7 months ago
Combinatorial Network Optimization with Unknown Variables: Multi-Armed Bandits with Linear Rewards
In the classic multi-armed bandits problem, the goal is to have a policy for dynamically operating arms that each yield stochastic rewards with unknown means. The key metric of int...
Yi Gai, Bhaskar Krishnamachari, Rahul Jain