Workshop Details

KDCloud: Workshop on Knowledge Discovery Using Cloud and Distributed Computing Platforms

Organized by Ranga Raju Vatsavai and Sanjay Ranka
09:00 - 12:45
Room: Tintoretto I
http://www.ornl.gov/sci/knowledgediscovery/CloudComputing/KDCloud-12

This workshop features a keynote speaker and seven peer-reviewed technical presentations covering a broad specturm of cloud enabled data mining schemes. We welcome all data miners to attend this workshop.

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09:00 - 09:10	Welcoming and Introduction Ranga Raju Vatsavai	09:00 - 09:10	Welcoming and Introduction Ranga Raju Vatsavai	09:00 - 09:10	Welcoming and Introduction	Welcoming and Introduction		09:00 - 09:10	Welcoming and Introduction Ranga Raju Vatsavai
09:10 - 09:50	Keynote Talk	09:10 - 09:50	Keynote Talk	09:10 - 09:50	Keynote Talk	Keynote Talk		09:10 - 09:50	Keynote Talk
09:50 - 10:10	Genetic Algorithm based Feature Selection Algorithm for Effective Intrusion Detection in Cloud Networks Anand Kannan, Ayush Sharma, Gerald Q. Maguire, Jr., and Peter Schoo	09:50 - 10:10	Genetic Algorithm based Feature Selection Algorithm for Effective Intrusion Detection in Cloud Networks Anand Kannan, Ayush Sharma, Gerald Q. Maguire, Jr., and Peter Schoo	09:50 - 10:10	Genetic Algorithm based Feature Selection Algorithm for Effective Intrusion Detection in Cloud Networks	Genetic Algorithm based Feature Selection Algorithm for Effective Intrusion Detection in Cloud Networks		09:50 - 10:10	Genetic Algorithm based Feature Selection Algorithm for Effective Intrusion Detection in Cloud Networks Anand Kannan, Ayush Sharma, Gerald Q. Maguire, Jr., and Peter Schoo
10:10 - 10:30	MapReduce-based Closed Frequent Itemset Mining with Efficient Redundancy Filtering Su-Qi Wang, Yu-Bin Yang, Yang Gao, Guang-Peng Chen, and Yao Zhang	10:10 - 10:30	MapReduce-based Closed Frequent Itemset Mining with Efficient Redundancy Filtering Su-Qi Wang, Yu-Bin Yang, Yang Gao, Guang-Peng Chen, and Yao Zhang	10:10 - 10:30	MapReduce-based Closed Frequent Itemset Mining with Efficient Redundancy Filtering	MapReduce-based Closed Frequent Itemset Mining with Efficient Redundancy Filtering		10:10 - 10:30	MapReduce-based Closed Frequent Itemset Mining with Efficient Redundancy Filtering Su-Qi Wang, Yu-Bin Yang, Yang Gao, Guang-Peng Chen, and Yao Zhang
10:30 - 11:00	Coffee Break	10:30 - 11:00	Coffee Break	10:30 - 11:00	Coffee Break	Coffee Break		10:30 - 11:00	Coffee Break
11:00 - 11:20	Using Storm to Perform Dynamic Egocentric Network Motif Analysis Martin Harrigan, Lorcan Coyle, and Padraig Cunningham	11:00 - 11:20	Using Storm to Perform Dynamic Egocentric Network Motif Analysis Martin Harrigan, Lorcan Coyle, and Padraig Cunningham	11:00 - 11:20	Using Storm to Perform Dynamic Egocentric Network Motif Analysis	Using Storm to Perform Dynamic Egocentric Network Motif Analysis		11:00 - 11:20	Using Storm to Perform Dynamic Egocentric Network Motif Analysis Martin Harrigan, Lorcan Coyle, and Padraig Cunningham
11:20 - 11:40	Parallel Concept Drift Detection with Online Map-Reduce Artur Andrzejak and Joao Gomes	11:20 - 11:40	Parallel Concept Drift Detection with Online Map-Reduce Artur Andrzejak and Joao Gomes	11:20 - 11:40	Parallel Concept Drift Detection with Online Map-Reduce	Parallel Concept Drift Detection with Online Map-Reduce		11:20 - 11:40	Parallel Concept Drift Detection with Online Map-Reduce Artur Andrzejak and Joao Gomes
11:40 - 12:00	Convex-Concave Hull for Classification with Support Vector Machine Asdrubal López-Chau, Xiaoou Li, Wen Yu, and Jair Cervantes	11:40 - 12:00	Convex-Concave Hull for Classification with Support Vector Machine Asdrubal López-Chau, Xiaoou Li, Wen Yu, and Jair Cervantes	11:40 - 12:00	Convex-Concave Hull for Classification with Support Vector Machine	Convex-Concave Hull for Classification with Support Vector Machine		11:40 - 12:00	Convex-Concave Hull for Classification with Support Vector Machine Asdrubal López-Chau, Xiaoou Li, Wen Yu, and Jair Cervantes
12:00 - 12:20	Large Scale KNN-Graph Approximation Mohamed Riadh Trad, Alexis Joly, and Nozha Boujemaa	12:00 - 12:20	Large Scale KNN-Graph Approximation Mohamed Riadh Trad, Alexis Joly, and Nozha Boujemaa	12:00 - 12:20	Large Scale KNN-Graph Approximation	Large Scale KNN-Graph Approximation		12:00 - 12:20	Large Scale KNN-Graph Approximation Mohamed Riadh Trad, Alexis Joly, and Nozha Boujemaa
12:20 - 12:40	Scalable Clustering Using PACT Programming Model Sharanjit Kaur, Tripti Gupta, Dhriti khanna, and Vasudha Bhatnagar	12:20 - 12:40	Scalable Clustering Using PACT Programming Model Sharanjit Kaur, Tripti Gupta, Dhriti khanna, and Vasudha Bhatnagar	12:20 - 12:40	Scalable Clustering Using PACT Programming Model	Scalable Clustering Using PACT Programming Model		12:20 - 12:40	Scalable Clustering Using PACT Programming Model Sharanjit Kaur, Tripti Gupta, Dhriti khanna, and Vasudha Bhatnagar
12:40 - 12:45	Closing Remarks	12:40 - 12:45	Closing Remarks	12:40 - 12:45	Closing Remarks	Closing Remarks		12:40 - 12:45	Closing Remarks