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CINQ
2004
Springer

Generic Pattern Mining Via Data Mining Template Library

12 years 3 months ago
Generic Pattern Mining Via Data Mining Template Library
Frequent Pattern Mining (FPM) is a very powerful paradigm for mining informative and useful patterns in massive, complex datasets. In this paper we propose the Data Mining Template Library, a collection of generic containers and algorithms for data mining, as well as persistency and database management classes. DMTL provides a systematic solution to a whole class of common FPM tasks like itemset, sequence, tree and graph mining. DMTL is extensible, scalable, and high-performance for rapid response on massive datasets. A detailed set of experiments show that DMTL is competitive with special purpose algorithms designed for a particular pattern type, especially as database sizes increase.
Mohammed Javeed Zaki, Nilanjana De, Feng Gao, Paol
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where CINQ
Authors Mohammed Javeed Zaki, Nilanjana De, Feng Gao, Paolo Palmerini, Nagender Parimi, Jeevan Pathuri, Benjarath Phoophakdee, Joe Urban
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