Emerging Architectures Enable to Boost Massively Parallel Data Mining Using Adaptive Sparse Grids

International Journal of Parallel Programming ◽

10.1007/s10766-012-0202-0 ◽

2012 ◽

Vol 41 (3) ◽

pp. 357-399 ◽

Author(s):

Alexander Heinecke ◽

Dirk Pflüger

Keyword(s):

Data Mining ◽

Sparse Grids ◽

Massively Parallel ◽

Parallel Data ◽

Parallel Data Mining

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Massively parallel data mining using reconfigurable hardware: approximate string matching

18th International Parallel and Distributed Processing Symposium, 2004. Proceedings. ◽

10.1109/ipdps.2004.1303326 ◽

2004 ◽

Author(s):

Qiong Zhang ◽

R.D. Chamberlain ◽

R.S. Indeck ◽

B.M. West ◽

J. White

Keyword(s):

Data Mining ◽

String Matching ◽

Reconfigurable Hardware ◽

Massively Parallel ◽

Approximate String Matching ◽

Parallel Data ◽

Parallel Data Mining

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Free parallel data mining

Proceedings of the 1998 ACM SIGMOD international conference on Management of data - SIGMOD '98 ◽

10.1145/276304.276374 ◽

1998 ◽

Author(s):

Bin Li ◽

Dennis Shasha

Keyword(s):

Data Mining ◽

Parallel Data ◽

Parallel Data Mining

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Parallel Data Mining and Applications in Hospital Big Data Processing

Big Data Management and Processing ◽

10.1201/9781315154008-20 ◽

2017 ◽

pp. 403-424

Author(s):

Jianguo Chen ◽

Zhuo Tang ◽

Kenli Li ◽

Keqin Li

Keyword(s):

Data Mining ◽

Big Data ◽

Data Processing ◽

Big Data Processing ◽

Parallel Data ◽

Parallel Data Mining

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Parallel Data Mining Techniques for Breast Cancer Prediction

Medical Big Data and Internet of Medical Things ◽

10.1201/9781351030380-8 ◽

2018 ◽

pp. 189-215 ◽

Author(s):

R. Bhavani ◽

G. Sudha Sadasivam

Keyword(s):

Breast Cancer ◽

Data Mining ◽

Data Mining Techniques ◽

Cancer Prediction ◽

Parallel Data ◽

Parallel Data Mining

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Strategies for parallel data mining

IEEE Concurrency ◽

10.1109/4434.806976 ◽

1999 ◽

Vol 7 (4) ◽

pp. 26-35 ◽

Author(s):

D. Skillicorn

Keyword(s):

Data Mining ◽

Parallel Data ◽

Parallel Data Mining

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Using available remote memory dynamically for parallel data mining application on ATM-connected PC cluster

Proceedings 14th International Parallel and Distributed Processing Symposium. IPDPS 2000 ◽

10.1109/ipdps.2000.846014 ◽

2002 ◽

Author(s):

M. Oguchi ◽

M. Kitsuregawa

Keyword(s):

Data Mining ◽

Remote Memory ◽

Parallel Data ◽

Parallel Data Mining ◽

Data Mining Application

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A Web-Based Database Management System Supporting Parallel Data Mining Service on PC Clusters

First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06) ◽

10.1109/icicic.2006.224 ◽

2006 ◽

Author(s):

Tyng-Yeu Liang ◽

Siou-Ying Wang ◽

L.-I. Chang

Keyword(s):

Data Mining ◽

Management System ◽

Database Management ◽

Database Management System ◽

Web Based ◽

Parallel Data ◽

Parallel Data Mining

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Memory characterization of a parallel data mining workload

Workload Characterization: Methodology and Case Studies. Based on the First Workshop on Workload Characterization ◽

10.1109/wwc.1998.809359 ◽

2002 ◽

Author(s):

Jin-Soo Kim ◽

Xiaohan Qin ◽

Yarsun Hsu

Keyword(s):

Data Mining ◽

Parallel Data ◽

Parallel Data Mining

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Scalable parallel data mining for association rules

ACM SIGMOD Record ◽

10.1145/253262.253330 ◽

1997 ◽

Vol 26 (2) ◽

pp. 277-288 ◽

Author(s):

Eui-Hong Han ◽

George Karypis ◽

Vipin Kumar

Keyword(s):

Data Mining ◽

Association Rules ◽

Parallel Data ◽

Parallel Data Mining

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Implementation of parallel data mining on an ATM-connected PC cluster and performance analysis of TCP retransmission mechanisms

Electronics and Communications in Japan (Part I Communications) ◽

10.1002/(sici)1520-6424(199907)82:7<12::aid-ecja2>3.0.co;2-4 ◽

1999 ◽

Vol 82 (7) ◽

pp. 12-24

Author(s):

Masato Oguchi ◽

Takayuki Tamura ◽

Takahiko Shintani ◽

Masaru Kitsuregawa

Keyword(s):

Data Mining ◽

Performance Analysis ◽

Parallel Data ◽

Parallel Data Mining ◽

And Performance

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