DMTL, written in C++, is an open-source, high-performance, generic data mining toolkit. It provides a collection of generic algorithms and data structures for mining increasingly complex and informative patterns types such as: Itemsets, Sequences, Trees and Graphs. DMTL utilizes a generic data mining approach, where all aspects of mining are controlled via a set of properties. The kind of pattern to be mined, the kind of mining approach to use, and the kind of data types and formats to mine over are all specified as a list of properties. This provides tremendous flexibility to customize the toolkit for various applications. The project file contains the source code, test examples, extensive documentation as well as related papers.
Keywords for this software
References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Chaoji, Vineet; Hasan, Mohammad Al; Salem, Saeed; Besson, Jeremy; Zaki, Mohammed J.: ORIGAMI: a novel and effective approach for mining representative orthogonal graph patterns (2008)
- Chaoji, Vineet; Hasan, Mohammad Al; Salem, Saeed; Zaki, Mohammed J.: An integrated, generic approach to pattern mining: data mining template library (2008) ioport
- Zaki, Mohammed J.; De, Nilanjana; Gao, Feng; Palmerini, Paolo; Parimi, Nagender; Pathuri, Jeevan; Phoophakdee, Benjarath; Urban, Joe: Generic pattern mining via data mining template library (2005)
- Zaki, Mohammed J.; Parimi, Nagender; De, Nilanjana; Gao, Feng; Phoophakdee, Benjarath; Urban, Joe; Chaoji, Vineet; Al Hasan, Mohammad; Salem, Saeed: Towards generic pattern mining (2005)