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在数据库中发现频繁模式和关联规则是数据挖掘领域的最基本、最重要的问题。大多数早期的研究采用了类似Apriori算法的产生候选级并测试迭代的途径代价是昂贵的，尤其是挖掘富模式和长模式时，Jiawei Han提出了一种新颖的数据结构FP_tree,及基于其上的FP_growth算法，主要用于有效的进行长模式与富模式的挖掘.本文在讨论了FP_growth算法的基础上，提出了用Visual C++实现该算法的方法，并编写了算法的程序。-found in the database model and th
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从N个无序数据中找K个最大值的快速算法；
数据挖掘课程作业。-disorder from the N data for the maximum K-fast algorithm; Data mining operations courses.
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数据挖掘中，关联规则的例子，源码， arview算法的应用实例-data mining, association rules example, the source, the algorithm arview Application
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数据挖掘中，判别树算法的应用例子。属于分类中的算法 很好。-data mining, discriminant Tree Algorithm application examples. The classification is a good algorithm.
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数据挖掘中的一算法 ines算法 c下实现的。适合初学习数据挖掘者借鉴-data mining algorithms ines of an algorithm to achieve the c. Data for early learning from the dig
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数据挖掘中的一算法 relim算法，适合数据挖掘初学者借鉴，c语言实现的。简单易懂。-of data mining algorithms relim an algorithm suitable for beginners from data mining, c language to achieve. Simple and understandable.
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FP-TREE算法，非常经典的数据挖掘算法，学习数据挖掘的好例子-FP-TREE algorithm, a very classic data mining algorithms, data mining study a good example of
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数据挖掘经典算法 Apriori and DIC 同时有 Brin关于DIC的论文 和训练语料-Classical data mining algorithm Apriori and DIC at the same time on the DIC thesis Brin and training corpus
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caim完善版离散化方法是一种研究数据挖掘方向的程序-caim perfect version of discretization method is a research direction for data mining procedures
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数据挖掘相关算法集合，有聚类、神经网络、遗传算法等的代码实现-Data mining correlation algorithm collection has clustering, neural networks, genetic algorithms, such as the code implementation
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数据挖掘中 fp增长算法求事务的频繁项集-Fp growth data mining algorithm for frequent itemsets affairs
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时序数据挖掘的经典论文，对于学习计算机方面的人很有帮助-Classic time-series data mining papers, computers for people to learn useful
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Entropy Based Subspace Clustering for Mining Data - ENCLUS - a new version of PROCLUS algorithm for clustering high dimensional data set.-Entropy Based Subspace Clustering for Mining Data- ENCLUS- a new version of PROCLUS algorithm for clustering hi
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This paper presents the top 10 data mining algorithms identified by the IEEE
International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM,
Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms
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Data Mining Sample using APRORI Algorithm. The data mining process is done based on the Aprori Algorithm. Developed using c sharp.
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上数据挖掘课的课件，是EM算法的，其中还包括最大似然值，最大似然估计，以及cluster-data mining,EM Algorithm ,Likelihood, Mixture Models and Clustering
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E-Shopping using Data Mining, we can extract the items easily to shoppers based on data mining algorithm.-E-Shopping using Data Mining, we can extract the items easily to shoppers based on data mining algorithm.
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Insurance trade system using data mining algorithm , in this system we take a survey of insurance policy and present in bar chat-Insurance trade system using data mining algorithm , in this system we take a survey of insurance policy and present in b
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data mining clustring algorithm
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Data mining, fp_growth algorithm -Data mining, fp_growth algorithm
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