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  1. Engineering & Technology
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  3. Data Mining
On the Design and Quantification of Privacy Preserving Data Mining Algorithms
On the Design and Quantification of Privacy Preserving Data Mining Algorithms
On the Complexity of Optimal K-Anonymity Adam Meyerson Ryan Williams
On the Complexity of Optimal K-Anonymity Adam Meyerson Ryan Williams
On Multi-Class Cost-Sensitive Learning Zhi-Hua Zhou
On Multi-Class Cost-Sensitive Learning Zhi-Hua Zhou
On Mining Closed Sets in Multi-Relational Data
On Mining Closed Sets in Multi-Relational Data
On Legal Texts and Cases
On Legal Texts and Cases
On Kernel Methods for Relational Learning
On Kernel Methods for Relational Learning
On Information Coverage for Location Category Based Point-of-Interest Recommendation Xuefeng Chen, Yifeng Zeng,
On Information Coverage for Location Category Based Point-of-Interest Recommendation Xuefeng Chen, Yifeng Zeng,
On Demand SPARQL Extension: A Case Study of Extending
On Demand SPARQL Extension: A Case Study of Extending
On Declarative Modeling of Structured Pattern Mining Tias Guns, Sergey Paramonov
On Declarative Modeling of Structured Pattern Mining Tias Guns, Sergey Paramonov
On data clustering with artificial ants
On data clustering with artificial ants
On Contrastive Divergence Learning
On Contrastive Divergence Learning
On conceptual modeling of data mining
On conceptual modeling of data mining
on computation of spatial median for robust data mining
on computation of spatial median for robust data mining
On Comparison of Feature Selection Algorithms Payam Refaeilzadeh
On Comparison of Feature Selection Algorithms Payam Refaeilzadeh
On Community Outliers and their Efficient Detection in Information Networks
On Community Outliers and their Efficient Detection in Information Networks
On Community Outliers and their Efficient Detection in Information Networks Jing Gao
On Community Outliers and their Efficient Detection in Information Networks Jing Gao
On class visualisation for high dimensional data
On class visualisation for high dimensional data
On Characterization and Discovery of Minimal Unexpected Patterns in Data
On Characterization and Discovery of Minimal Unexpected Patterns in Data
On Appropriate Assumptions to Mine Data Streams: Analysis and Practice
On Appropriate Assumptions to Mine Data Streams: Analysis and Practice
On Appropriate Assumptions to Mine Data Streams: Analyses and Solutions
On Appropriate Assumptions to Mine Data Streams: Analyses and Solutions
omis350-CH06
omis350-CH06
OMICS and Pathway Integration for Knowledge Discovery
OMICS and Pathway Integration for Knowledge Discovery
OMB No. 0925-0001/0002 (Rev. 08/12), Continuation Page
OMB No. 0925-0001/0002 (Rev. 08/12), Continuation Page
OLI Tools: Upstream - OLI Support Center
OLI Tools: Upstream - OLI Support Center