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改代码为fp-growth的源代码，用于数据挖掘中的关联规则挖掘，已经通过调试，可以放心使用，只需要加入输入文件流-Change the code for the fp-growth of the source code for the data mining association rule mining have been through testing, you can rest assured that the use, only need to join the input file
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R language dataset generate program. And data mining for data stream.
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分析流数据的数据挖掘算法，以及一个流数据的模拟产生器。-Analysis of the data stream of data mining algorithms, as well as a stream of data analog generator.
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Thesis slide for data stream mining
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Adwin C++ is a Adaptive sliding window model for frequent itemset mining over data stream
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供应链管理实用建模方法及数据挖掘
本书包括：经济全球化及企业竞争优势、供应链管理理论、供应链本流及其定量分析方法、提高供应链管理的运作绩效等内容。
简明目录：
1.经济全球化及企业竞争优势/2.供应链管理理论/3.供应链成本流及其定量分析方法/4.提高供应链管理的运作绩效/5.几种数据驱动型建模方法/6.产品供应链中的数据挖掘技术/7.供应链契约//参考文献-Supply Chain Management Modeling and Data Mining practical
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Stream Data Mining
Data mining is a part of a process called KDD-knowledge discovery in databases. This process consists basically
of steps that are performed before carrying out data mining, such as data selection, data cleaning, pre-processi
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界标窗口中数据流频繁模式挖掘算法研究A window in the data stream frequent pattern mining algorithm-A window in the data stream frequent pattern mining algorithm
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Mining Frequent Patterns in Data Stream over Sliding Windows
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In this era an emerging filed in the data mining is data stream mining. The current research technique of the data stream is classification which mainly focuses on concept drift data. In mining drift data with the single classifier is not sufficient
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the third file is about data mining in stream clustering
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聚类分析是数据挖掘中重要的研究内容之一，对聚类准则进行了总结，对五类传统的聚类算法的研究 现状和进展进行了较为全面的总结，就一些新的聚类算法进行了梳理，根据样本归属关系、样本数据预处理、 样本的相似性度量、样本的更新策略、样本的高维性和与其他学科的融合等六个方面对聚类中近 20多个新算 法，如粒度聚类、不确定聚类、量子聚类、核聚类、谱聚类、聚类集成、概念聚类、球壳聚类、仿射聚类、数据流聚 类等，分别进行了详细的概括。(Clustering analysis is one of the impor
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