Ramakrishnan N, Grama AY. Mining scientific data. Advances in Computers 2001; 55:119--169.  Home/Search Document Details and Download
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MyPYTHIA: a recommendation portal for scientific.. - Houstis, Catlin.. (2002) (1 citation) Self-citation (Ramakrishnan) (Correct)
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Ramakrishnan N, Grama AY. Mining scientific data. Advances in Computers 2001; 55:119--169.
Using Hierarchical Data Mining to Characterize.. - Verstak.. (2002) (2 citations) Self-citation (Ramakrishnan) (Correct)
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N. Ramakrishnan and A.Y. Grama. Mining Scientific Data. Advances in Computers, Vol. 55:pages 119--169, September 2001.
Programming Environments for Multidisciplinary Grid.. - Ramakrishnan.. (2002) (1 citation) Self-citation (Ramakrishnan) (Correct)
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Ramakrishnan N, Grama AY. Mining scientific data. Advances in Computers 2001; 55:119--169.
Programming Environments for Multidisciplinary Grid.. - Ramakrishnan.. (2001) (1 citation) Self-citation (Ramakrishnan) (Correct)
....high level rules that can form the basis of a recommendation. Visualization of performance data from scientific applications is also related to this aspect [72] The importance of data mining in providing decision support in large scale simulations [18] has also been recognized in other projects [32, 53, 60, 61, 64, 68]. Our framework is novel in that it captures the entire problem solving process prior to the scheduling of a simulation and the semistructured format for model instances allows the embedding of mining functions as primitives into standard query languages (akin to [75] It also facilitates the ....
N. Ramakrishnan and A.Y. Grama. Mining Scientific Data. Advances in Computers, Vol. 55:pages 119--169, 2001.
Programming Environments for Multidisciplinary Grid.. - Ramakrishnan.. (2001) (1 citation) Self-citation (Ramakrishnan) (Correct)
....PDE algorithm over another, by mining a database of PDE solves. Visualization of performance data from scientific applications is also related to this aspect [72] The importance of data mining in providing decision support in large scale simulations [18] has also been recognized in other projects [32, 53, 60, 61, 64, 68]. Our framework is novel in that it 20 200 0 alpha 30 28 26 24 22 20 18 16 14 12 10 lfill 200 alpha 30 28 26 24 22 20 18 16 14 12 10 8 6 4 2 0 lfill 200 alpha 30 28 26 24 22 20 18 16 14 12 10 lfill 200 0 alpha 30 28 26 24 22 20 18 16 14 12 ....
N. Ramakrishnan and A.Y. Grama. Mining Scientific Data. Advances in Computers, Vol. 55:pages 119--169, 2001.
MyPYTHIA: A Recommendation Portal for Scientific.. - Houstis, Catlin.. (2002) (1 citation) Self-citation (Ramakrishnan) (Correct)
....be generated by recommendation studies. By facilitating efficient storage and retrieval for dataintensive computing in scientific simulations, MyPYTHIA serves as a complementary approach to other projects in Grid computing that provide decision support in the form of data management facilities [8, 19, 23, 24, 28]. MyPYTHIA s system design and architecture are novel in that they formalize the scientific software recommendation problem and point in the direction of connecting such services with grid information services and other knowledge based portals. ....
N. Ramakrishnan and A.Y. Grama. Mining Scientific Data. Advances in Computers, Vol. 55:pages 119--169, 2001.
Sampling Strategies for Mining in Data-Scarce Domains - Ramakrishnan (2002) (Correct)
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N. Ramakrishnan and A.Y. Grama, "Mining Scientific Data," Advances in Computers, vol. 55, Sept. 2001, pp. 119--169.
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