Data Mining for Scientific and Engineering Applications - Massive Computing
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30

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6

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Published By Springer US

9781402001147, 9781461517337

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Searching for Bent-Double Galaxies in the First Survey

Data Mining for Scientific and Engineering Applications - Massive Computing ◽

10.1007/978-1-4615-1733-7_6 ◽

2001 ◽

pp. 95-114 ◽

Author(s):

Chandrika Kamath ◽

Erick Cantú-Paz ◽

Imola K. Fodor ◽

Nu Ai Tang

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Efficient Algorithms for Mining Long Patterns in Scientific Data Sets

Data Mining for Scientific and Engineering Applications - Massive Computing ◽

10.1007/978-1-4615-1733-7_28 ◽

2001 ◽

pp. 541-566

Author(s):

Ramesh C. Agarwal ◽

Charu C. Aggarwal

Keyword(s):

Scientific Data ◽

Efficient Algorithms ◽

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High-Performance Singular Value Decomposition

Data Mining for Scientific and Engineering Applications - Massive Computing ◽

10.1007/978-1-4615-1733-7_22 ◽

2001 ◽

pp. 401-424

Author(s):

David B. Skillicorn ◽

Xiaolan Yang

Keyword(s):

Singular Value Decomposition ◽

High Performance ◽

Singular Value ◽

Value Decomposition

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A Scalable Hierarchical Algorithm for Unsupervised Clustering

Data Mining for Scientific and Engineering Applications - Massive Computing ◽

10.1007/978-1-4615-1733-7_21 ◽

2001 ◽

pp. 383-400 ◽

Author(s):

Daniel Boley

Keyword(s):

Unsupervised Clustering ◽

Hierarchical Algorithm

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Understanding High Dimensional and Large Data Sets: Some Mathematical Challenges and Opportunities

Data Mining for Scientific and Engineering Applications - Massive Computing ◽

10.1007/978-1-4615-1733-7_2 ◽

2001 ◽

pp. 23-34

Author(s):

Jagdish Chandra

Keyword(s):

Large Data Sets ◽

High Dimensional ◽

Data Sets ◽

Challenges And Opportunities

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EVITA — Efficient Visualization and Interrogation of Tera-Scale Data

Data Mining for Scientific and Engineering Applications - Massive Computing ◽

10.1007/978-1-4615-1733-7_15 ◽

2001 ◽

pp. 257-279 ◽

Author(s):

Raghu Machiraju ◽

James E. Fowler ◽

David Thompson ◽

Bharat Soni ◽

Will Schroeder

Keyword(s):

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Classification Using Association Rules: Weaknesses and Enhancements

Data Mining for Scientific and Engineering Applications - Massive Computing ◽

10.1007/978-1-4615-1733-7_30 ◽

2001 ◽

pp. 591-605 ◽

Author(s):

Bing Liu ◽

Yiming Ma ◽

Ching-Kian Wong

Keyword(s):

Association Rules

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SPARC: Spatial Association Rule-Based Classification

Data Mining for Scientific and Engineering Applications - Massive Computing ◽

10.1007/978-1-4615-1733-7_25 ◽

2001 ◽

pp. 461-485 ◽

Author(s):

Jiawei Han ◽

Anthony K. H. Tung ◽

Jing He

Keyword(s):

Association Rule ◽

Spatial Association ◽

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Parallel Algorithms for Clustering High-Dimensional Large-Scale Datasets

Data Mining for Scientific and Engineering Applications - Massive Computing ◽

10.1007/978-1-4615-1733-7_19 ◽

2001 ◽

pp. 335-356 ◽

Author(s):

Harsha Nagesh ◽

Sanjay Goil ◽

Alok Choudhary

Keyword(s):

Parallel Algorithms ◽

Large Scale ◽

High Dimensional

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Decomposable Algorithms for Data Mining

Data Mining for Scientific and Engineering Applications - Massive Computing ◽

10.1007/978-1-4615-1733-7_17 ◽

2001 ◽

pp. 307-317

Author(s):

Raj Bhatnagar

Keyword(s):

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