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» Using Data Mining in MURA Graphic Problems
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163
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CORR
2011
Springer
177views Education» more  CORR 2011»
14 years 10 months ago
Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS
Markov Logic Networks (MLNs) have emerged as a powerful framework that combines statistical and logical reasoning; they have been applied to many data intensive problems including...
Feng Niu, Christopher Ré, AnHai Doan, Jude ...
158
Voted
SDM
2012
SIAM
258views Data Mining» more  SDM 2012»
13 years 6 months ago
Feature Selection with Linked Data in Social Media
Feature selection is widely used in preparing highdimensional data for effective data mining. Increasingly popular social media data presents new challenges to feature selection....
Jiliang Tang, Huan Liu
170
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SDM
2007
SIAM
204views Data Mining» more  SDM 2007»
15 years 5 months ago
Flexible Anonymization For Privacy Preserving Data Publishing: A Systematic Search Based Approach
k-anonymity is a popular measure of privacy for data publishing: It measures the risk of identity-disclosure of individuals whose personal information are released in the form of ...
Bijit Hore, Ravi Chandra Jammalamadaka, Sharad Meh...
118
Voted
AUSDM
2007
Springer
145views Data Mining» more  AUSDM 2007»
15 years 10 months ago
Discovering Frequent Sets from Data Streams with CPU Constraint
Data streams are usually generated in an online fashion characterized by huge volume, rapid unpredictable rates, and fast changing data characteristics. It has been hence recogniz...
Xuan Hong Dang, Wee Keong Ng, Kok-Leong Ong, Vince...
155
Voted
SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
15 years 9 months ago
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...