Results 221 to 230 of about 1,878,751 (279)

MRFP: Discovery Frequent Patterns Using MapReduce Frequent Pattern Growth

2016 International Conference on Network and Information Systems for Computers (ICNISC), 2016
In this paper, a novelty of a new method has been presented. MRFP-Growth is implementing to solve the problem of discovering frequent patterns with massive datasets. Most of the frequent patterns algorithms are unable to manipulate with the large datasets, our scheme implement FP-Growth method under MapReduce framework in Hadoop platform to decrease ...
Arkan A. G. Al-Hamodi, Songfeng Lu
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Mining Frequent Patterns with Incremental Updating Frequent Pattern Tree

2006 6th World Congress on Intelligent Control and Automation, 2006
Mining frequent patterns has been studied popularly in data mining research. However, very little work has been done on maintenance of mined frequent patterns. For the real useful frequent patterns, one must continually adjust a minimum support threshold. Expensive and repeated database scans were done.
null Qunxiong Zhu, null Xiaoyong Lin
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Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach

Data Mining and Knowledge Discovery, 2004
Mining frequent patterns in transaction databases, time-series databases, and many other kinds of databases has been studied popularly in data mining research. Most of the previous studies adopt an Apriori-like candidate set generation-and-test approach.
Jiawei Han, Jian Pei, Yiwen Yin, Runying Mao   +3 more
openaire   +2 more sources