Search Results for "frequent mining"
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Showing 8 open source projects for "frequent mining"
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This project aims to develop and share fast frequent subgraph mining and graph learning algorithms. Currently we release the frequent subgraph mining package FFSM and later we will include new functions for graph regression and classification package
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Mr.FSM
Large-Scale Frequent Subgraph Mining in MapReduce
This is the program used in the following paper: Wenqing Lin, Xiaokui Xiao, and Gabriel Ghinita. Large-Scale Frequent Subgraph Mining in MapReduce. In Proceedings of the 30th IEEE International Conference on Data Engineering (ICDE), pages 844-855, 2014. Please cite the paper if you choose to use the program. If having any problems, please report to {wlin1 at ntu dot edu dot sg}. -
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GPU Frequent Items
Frequent items mining exploiting sorting on GPU http://goo.gl/HYBFl
In this project, we tackle the calculation of frequent items in a data stream, and show how it can be implemented using GPUs. -
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A data mining tool for finding frequent motifs in DNA regulatory area that may play significant role in gene regulation. It makes the search more efficient by using different data like conservation and binding scores about relevant promoter areas. It is implemented as a part of Barchelor thesis work of Timo Petmanson available here: http://comserv.cs.ut.ee/forms/ati_report/downloader.php?
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It is the source code for a tree mining algorithm called TRIPS. It can mine frequent subtrees from a forest of tree structures.
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Data mining tool for the extraction of spatio-temporal frequent patterns ("Trajectory patterns" or "T-patterns") from GPS-like trajectories of a set of moving objects. Work performed within the European project GeoPKDD - www.geopkdd.eu
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DMTL (Data Mining Template Library) - A generic C++ based library for mining structured patterns such as sets, sequences, trees and graphs. The library provides implementation of popular frequent pattern mining algorithms.
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This project implements the algorithm proposed in page 109-118, ACM SIGKDD, 2003, "Inverted matrix: efficient discovery of frequent items in large datasets in the context of interactive mining" and its improvements.
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