Generic pattern mining via data mining template library

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3848 LNAI, Issue , 2006, Pages 362-379

  Zaki, Mohammed J ^a   De, Nilanjana ^a   Gao, Feng ^a   Palmerini, Paolo ^a   Parimi, Nagender ^a   Pathuri, Jeevan ^a   Phoophakdee, Benjarath ^a   Urban, Joe ^a  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING TEMPLATE LIBRARY (DMTL); FREQUENT PATTERN MINING (FPM); GENERIC PATTERN MINING; TEMPLATE LIBRARY;

ALGORITHMS; DATA MINING; DATABASE SYSTEMS; GRAPH THEORY;

PATTERN RECOGNITION;

EID: 33745151929     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11615576_17     Document Type: Conference Paper

References (27)

1. R. Agrawal, H. Mannila, R. Srikant, H. Toivonen, and A. Inkeri Verkamo. Fast discovery of association rules. In U. Fayyad and et al, editors, Advances in Knowledge Discovery and Data Mining, pages 307-328. AAAI Press, Menlo Park, CA, 1996.
2. R. Agrawal and R. Srikant. Mining sequential patterns. In 11th Intl. Conf. on Data Engg., 1995.
3. T. Asai, K. Abe, S. Kawasoe, H. Arimura, H. Satamoto, and S. Arikawa. Efficient substructure discovery from large semi-structured data. In 2nd SIAM Int'l Conference on Data Mining, April 2002.
4. M. H. Austern. Generic, Programming and the STL. Addison Wesley Longman, Inc., 1999.
5. S. Chaudhri, U. Fayyad, and J. Bernhardt. Scalable classification over SQL databases. In 15th IEEE Intl. Conf. on Data Engineering, March 1999.
6. A. Freitas and S. Lavington. Mining very large databases with parallel processing. Kluwer Academic Pub., Boston, MA, 1998.
7. K. Gouda and M. J. Zaki. Efficiently mining maximal frequent itemsets. In 1st IEEE Int'l Conf. on Data Mining, November 2001.
8. J. Han, Y. Fu, W. Wang, K. Koperski, and O. Zaiane. DMQL: A data mining query language for relational databases. In 1st ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, June 1996.
9. T. Imielinski and A. Virmani. MSQL: A query language for database mining. Data Mining and Knowledge Discovery: An International Journal, 3:373-408, 1999.
10. A. Inokuchi, T. Washio, and H. Motoda. An apriori-based algorithm for mining frequent substructures from graph data. In 4th European Conference on Principles of Knowledge Discovery and Data Mining, September 2000.
11. Konstantin Knizhnik. Gigabase, object-relational database management system. http://sourceforge.net/projects/gigabase.
12. R. Kohavi, D. Sommerfield, and J. Dougherty. Data mining using mlc++, a machine learning library in c++. International Journal of Artificial Intelligence Tools, 6(4):537-566, 1997.
13. M. Kuramochi and G. Karypis. Frequent subgraph discovery. In 1st IEEE Int'l Conf. on Data Mining, November 2001.
14. C. Mastroianni, D. Talia, and P. Trunfio. Managing heterogeneous resources in data mining applications on grids using xml-based metadata. In Proceedings of The 12th Heterogeneous Computing Workshop, 2002.
15. R. Meo, G. Psaila, and S. Ceri. A new SQL-like operator for mining association rules. In 22nd Intl. Conf. Very Large Databases, 1996.
16. S. Sarawagi, S. Thomas, and R. Agrawal. Integrating association rule mining with databases: alternatives and implications. In ACM SIGMOD Intl. Conf. Management of Data, June 1998.
17. R. Srikant and R. Agrawal. Mining sequential patterns: Generalizations and performance improvements. In 5th Intl. Conf. Extending Database Technology, March 1996.
18. D. Tsur, J.D. Ullman, S. Abitboul, C. Clifton, R. Motwani, and S. Nestorov. Query flocks: A generalization of association rule mining. In ACM SIGMOD Intl. Conf. Management of Data, June 1998.
19. Jean-Claude Wippler. Metakit. http://www.equi4.com/metakit/.
20. I. H. Witten and E. Frank. Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann Publishers, 1999.
21. X. Yan and J. Han. gspan: Graph-based substructure pattern mining. In IEEE Int'l Conf. on Data Mining, 2002.
22. X. Yan and J. Han. Closegraph: Mining closed frequent graph patterns. In ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, August 2003.
23. M. J. Zaki. Scalable algorithms for association mining. IEEE Transactions on Knowledge and Data Engineering, 12(3):372-390, May-June 2000.
24. M. J. Zaki. SPADE: An efficient algorithm for mining frequent sequences. Machine Learning Journal, 42(1/2):31-60, Jan/Feb 2001.
25. M. J. Zaki. Efficiently mining frequent trees in a forest. In 8th ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining, July 2002.
26. M. J. Zaki and C.C. Aggarwal. Xrules: An effective structural classifier for xml data. In 9th ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining, August 2003.
27. M. J. Zaki and C.-J. Hsiao. CHARM: An efficient algorithm for closed itemset mining. In 2nd SIAM International Conference on Data Mining, April 2002.