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Table 6: The number of substructures found

in Discovering Frequent Substructures from Hierarchical Semi-structured Data
by Gao Cong, Lan Yi, Bing Liu, Ke Wang 2002
"... In PAGE 14: ... Two general trends can be observed: 1) As the minimum support decreases, the execution time increases in all cases; 2) the execution time is linear in the size of data set. Table6 lists the number of frequent substructures and maximal frequent substructures discovered at different support levels from the movie and travel datasets with the size of 3000. Compared with the approach in [24], our technique has the ability to find more frequent substructures.... ..."
Cited by 10

Table 4. Eigenvalues (8 substructures)

in A Fully Parallel Condensation Method for Generalized Eigenvalue Problems on Distributed Memory Computers
by Kai Rothe, Heinrich Voss 1995
Cited by 10

Table 4. Eigenvalues (8 substructures)

in A Fully Parallel Condensation Method for Generalized Eigenvalue Problems on Distributed Memory Computers
by Kai Rothe, Heinrich Voss 1995
Cited by 10

Table 2. Eigenvalues (4 substructures)

in Improved Dynamic Substructuring on Distributed Memory MIMD-Computers
by Kai Rothe, Heinrich Voss 1993
Cited by 4

Table 6.2 Best substructures found by data set Dataset Best substructure 1 Best substructure 2 Best substructure 3

in CLASSIFIER
by Robert N. Hawes, Robert N. Hawes

Table 1. Substructure and pendulum parameters.

in oscillator–pendulum
by Y. N. Kyrychko, K. B. Blyuss, A. Gonzalez-buelga, S. J. Hogan, D. J. Wagg 2006

Table 5. Probability that substructures are fluctuations

in F3.598e+05>Astron. Astrophys. 331, 838--852 (1998)
by Astronomy And, Superclusters Of Galaxies, M. Kalinkov, I. Valtchanov, I. Kuneva

Table VI. Substructure Damage Characteristics

in NASA/TM-2003-212440 Hypervelocity Impact Test Results for a Metallic Thermal Protection System
by Katherine L. Karr, The George, Carl C. Poteet, Max L. Blosser 2003

Table 8. MSHR organizations with their substructures.

in Scalable Cache Miss Handling for High Memory-Level Parallelism ∗
by unknown authors

TABLE I SUBSTRUCTURE MINING METHODS

in Molecular Substructure Mining Approaches for Computer-Aided Drug Discovery: A Review
by Christos A. Nicolaou, Constantinos S. Pattichis, Senior Member
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