Results 231 to 240 of about 2,022,125 (263)

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
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Generating Frequent Patterns with the Frequent Pattern List

2001
The generation of frequent patterns (or frequent itemsets) has been studied in various areas of data mining. Most of the studies take the Apriori-based generation-and-test approach, which is computationally costly in the generation of candidate frequent patterns.
Fan-Chen Tseng, Ching-Chi Hsu
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Mining Frequent Independent Patterns and Frequent Correlated Patterns Synchronously

2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008
One of the main tasks of KDTCM (knowledge discovery in Traditional Chinese Medicine) is discovering novel paired or grouped drugs in Chinese Medical Formula (CMF) database, which are special combinations of two or more drugs. Correlation mining is much effective because of the large number of correlation relationships among various kinds of drugs ...
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Mining Frequent Patterns From Sequences

Proceedings of the 2013 2nd International Conference on Intelligent System and Applied Material, 2011
Pattern mining is a popular issue in biological sequence analysis. In this paper, we propose new definitions related to the pattern frequency, where gaps are mined instead of specified. We develop algorithm with polynomial complexities. Patterns can grow from both sides, and Apriori property holds.
null Junyan Zhang, null Fan Min
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Understanding Frequent Switching Patterns

Journal of Service Research, 2007
Given the growing competition in the global market, it is becoming increasingly important for companies to retain their existing customers, that is, to preempt frequent switching. A fruitful way of gaining knowledge about customers' switching behavior is to examine the role of various factors in their switching processes. This qualitative study, based
Inger Roos, Anders Gustafsson
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Frequent Pattern Mining

2014
This comprehensive reference consists of 18 chapters from prominent researchers in the field. Each chapter is self-contained, and synthesizes one aspect of frequent pattern mining. An emphasis is placed on simplifying the content, so that students and practitioners can benefit from the book. Each chapter contains a survey describing key research on the
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Frequent Offenders and Patterns of Injury

Clinics in Liver Disease, 2020
Given the liver's role in drug metabolism, it is uniquely sensitive to potential drug-induced liver injury (DILI) despite inherent protective mechanisms. In this article, we focus on the most common causes of DILI and their patterns of injury. Although not comprehensive, we attempt to cover several classes of commonly used drugs, and their associated ...
Jinyu, Zhang, Deepak, Venkat
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