Description: 频繁模式挖掘算法,可以用于数据挖掘中关联规则的频繁项集挖掘- The frequent pattern excavation algorithm, may use in the data
mining to be connected the rule the frequent item of collection to
excavate Platform: |
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Author:ann |
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Description: 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. -DMTL (Data Mining Template Library) - A gen eric C based library for mining structured patt Erns such as sets, sequences, trees and graphs. The library provides impleme 'of popular frequent pattern mining alg orithms. Platform: |
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Author:basara |
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Description: 美国UIUC大学的数据挖掘论文《Constrained Frequent Pattern Mining: A Pattern-Growth View》《通过模式增长实现的带约束条件的频繁模式挖掘》-American University Alumni Data Mining thesis on "Constrained Frequent P attern Mining : A Pattern-Growth View, "" growth mode through the realization of the constrained frequent pattern excavation " Platform: |
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Author:赵杰伊 |
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Description: 我编写的能够实现频繁关联模式挖掘的FP-Growth数据挖掘算法。-prepared by the association to achieve frequent pattern mining FP-Growth data mining algorithms. Platform: |
Size: 71522 |
Author:赵杰伊 |
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Description: 频繁模式挖掘算法,可以用于数据挖掘中关联规则的频繁项集挖掘- The frequent pattern excavation algorithm, may use in the data
mining to be connected the rule the frequent item of collection to
excavate Platform: |
Size: 775168 |
Author:ann |
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Description: 序列模式的概念最早是由Agrawal和Srikant 提出的
序列模式定义:给定一个由不同序列组成的集合,其中,每个序列由不同的元素按顺序有序排列,每个元素由不同项目组成,同时给定一个用户指定的最小支持度阈值,序列模式挖掘就是找出所有的频繁子序列,即该子序列在序列集中的出现频率不低于用户指定的最小支持度阈值-sequential pattern is the earliest concept of Agrawal and Srikant from the sequential pattern definitions : given a different set of sequence, in which each sequence by different elements arranged in an orderly sequence, Elements from each different project components, and given a user-specified minimum support threshold, sequential pattern mining is to find all the frequent sequences. that the sequences in the series focus on the frequency of not less than user-specified minimum threshold of support Platform: |
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Author:kiki9975 |
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Description: 数据挖掘关联分析的最新研究进展和未来趋向 《Frequent pattern mining: current status and future directions》 由权威科学家韩家炜等著-Correlation Analysis of Data Mining the latest research progress and future trends Platform: |
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Author:eteng |
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Description: 一个异常点是相当不同的或不符合一个数据集的其余部分数据。检测离群点是非常重要的许多应用中,并在最近引起了广泛关注 在数据挖掘研究界。在本文中,提出了一种方法检测发现异常数据的频繁模式(或频繁项目集-An outlier in a dataset is an observation or a point that is considerably
dissimilar to or inconsistent with the remainder of the data. Detection of
outliers is important for many applications and has recently attracted much attention
in the data mining research community. In this paper, we present a new
method to detect outliers by discovering frequent patterns (or frequent itemsets)
from the data set Platform: |
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Author:suivy |
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Description: 最大频繁模式树算法,可以自动识别集合中频繁出现的模式,在网页信息抽取中可以区分主回帖-Maximal frequent pattern tree algorithm, can automatically identify frequent patterns set in the Web information extraction can be distinguished in the main Replies Platform: |
Size: 21504 |
Author:zhaojiguang |
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Description: This is a document about Mining Frequent Pattern FP_Tr-This is a document about Mining Frequent Pattern FP_Tree Platform: |
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Author:tringuyen |
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Description: 在数据挖掘频繁模式挖掘问题,典型算法的分析,是伪代码的分析,不是实际可以运行的代码,主要给的思路-Frequent pattern mining problem in data mining, the main algorithm analysis for typical algorithm, is the analysis of the pseudo code, give a train of thought Platform: |
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Author:yandong |
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Description: 频繁模式挖掘经典书籍,由Charu C. Aggarwal Jiawei Han编写-Frequent Pattern Mining written by Charu C. Aggarwal Jiawei Han Platform: |
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Author:wmd |
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