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» Evaluating role mining algorithms
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KDD
2006
ACM
107views Data Mining» more  KDD 2006»
14 years 8 months ago
Out-of-core frequent pattern mining on a commodity PC
In this work we focus on the problem of frequent itemset mining on large, out-of-core data sets. After presenting a characterization of existing out-of-core frequent itemset minin...
Gregory Buehrer, Srinivasan Parthasarathy, Amol Gh...
AUSAI
2004
Springer
14 years 1 months ago
A Bayesian Metric for Evaluating Machine Learning Algorithms
How to assess the performance of machine learning algorithms is a problem of increasing interest and urgency as the data mining application of myriad algorithms grows. The standard...
Lucas R. Hope, Kevin B. Korb
ACL
2006
13 years 9 months ago
A FrameNet-Based Semantic Role Labeler for Swedish
We present a FrameNet-based semantic role labeling system for Swedish text. As training data for the system, we used an annotated corpus that we produced by transferring FrameNet ...
Richard Johansson, Pierre Nugues
ACL
2010
13 years 5 months ago
Towards Open-Domain Semantic Role Labeling
Current Semantic Role Labeling technologies are based on inductive algorithms trained over large scale repositories of annotated examples. Frame-based systems currently make use o...
Danilo Croce, Cristina Giannone, Paolo Annesi, Rob...
ICDM
2006
IEEE
110views Data Mining» more  ICDM 2006»
14 years 1 months ago
A mining method of communities keeping tacit knowledge
The research community plays a very important role in holding valuable scientific knowledge. The authors propose a community mining system which helps to find communities of res...
Ryutaro Ichise, Hideaki Takeda, Satoshi Kouno, Tai...