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» Data Aggregation Sets in Adaptive Data Model
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KDD
2002
ACM
150views Data Mining» more  KDD 2002»
16 years 6 months ago
Querying multiple sets of discovered rules
Rule mining is an important data mining task that has been applied to numerous real-world applications. Often a rule mining system generates a large number of rules and only a sma...
Alexander Tuzhilin, Bing Liu
ICGI
2004
Springer
15 years 12 months ago
Partial Learning Using Link Grammars Data
Abstract. Kanazawa has shown that several non-trivial classes of categorial grammars are learnable in Gold’s model. We propose in this article to adapt this kind of symbolic lear...
Erwan Moreau
ICIP
2006
IEEE
16 years 8 months ago
Robust Kernel Regression for Restoration and Reconstruction of Images from Sparse Noisy Data
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar
RSFDGRC
2005
Springer
110views Data Mining» more  RSFDGRC 2005»
15 years 12 months ago
A Rough Set Based Model to Rank the Importance of Association Rules
Abstract. Association rule algorithms often generate an excessive number of rules, many of which are not significant. It is difficult to determine which rules are more useful, int...
Jiye Li, Nick Cercone
BMCBI
2010
122views more  BMCBI 2010»
15 years 6 months ago
Genome3D: A viewer-model framework for integrating and visualizing multi-scale epigenomic information within a three-dimensional
Background: New technologies are enabling the measurement of many types of genomic and epigenomic information at scales ranging from the atomic to nuclear. Much of this new data i...
Thomas M. Asbury, Matt Mitman, Jijun Tang, W. Jim ...