Description: Java写的，内含包括关联规则挖掘，分类，时序分析等多种算法-A variety of algorithms written in Java, including association rule mining included, classification, timing analysis, etc. Platform: |
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Author:chenximan |
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Description: 两个关联规则挖掘的小程序，采用Apriori算法，可帮助理解这个算法。-Two small association rule mining procedures, using Apriori algorithm, can help to understand this algorithm. Platform: |
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Author:小球球 |
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Description: 机器学习领域经典分类算法综述，包括Decision Tree（ＩＤ３、C4.5(C5.0)、CART、PUBLIC、SLIQ和SPRINT算法），三种典型贝叶斯分类器（朴素贝叶斯算法、TAN算法、贝叶斯网络分类器），k-近邻 、 基于数据库技术的分类算法（ MIND算法、GAC-RDB算法），基于关联规则（CBA:Classification Based on Association Rule）的分类（Apriori算法），支持向量机分类，基于软计算的分类方法（粗糙集（rough set）、遗传算法、模糊逻辑、人工神经网络算法）。-Classical machine learning classification algorithms overview。 Including Decision Tree (ID3, C4.5 (C5.0), CART, PUBLIC, SLIQ and SPRINT algorithm), three typical Bayesian classifier (Naive Bayes algorithm, TAN algorithm Bayesian network classifiers), k-nearest neighbor based classification algorithm (MIND algorithm, GAC-RDB algorithms) database technology, based on association rules (CBA: classification (Apriori algorithm) Classification Based on Association Rule), and support vector machine classification, classification method based on soft computing (rough sets (rough set), genetic algorithms, fuzzy logic, artificial neural network algorithm).... Platform: |
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Author:MM |
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Description: 一篇博士论文 名为关联规则挖掘方法的研究及应用 作者为吉林大学博士-A doctoral dissertation Called the study and application of association rule mining method The author is jilin university Dr Platform: |
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Author:刘璇 |
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Description: This my Master Thesis for Association Rule Mining With Binary Genetic, Enjoy it-This is my Master Thesis for Association Rule Mining With Binary Genetic, Enjoy it Platform: |
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Author:asadi |
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Description: 数据挖掘中关联规则挖掘的算法apriori基本功能的实现，可以在上面添加自己想要的功能-Data mining association rule mining algorithms apriori basic functions can be added above the function you want Platform: |
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Author:yhlhit |
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Description: Web mining techniques are used to analyze the web
information resources. Web content mining and structure mining
methods are used to analyze the web page contents. The user
access information is maintained under the web logs. The usage
mining technique is used to analyze the web logs. The web logs
are maintained under the web server environment. User access
patterns are extracted the web logs. The web content
management and link connectivity are improved using the access
patterns. The association rule mining techniques are used to
extract item set relationships. Item set frequencies are used in the
rule mining process. Page weights are used to denote the
importance of the web pages. The weighted rule mining
techniques are used to fetch the frequently accessed web pages
with its weight values-Web mining techniques are used to analyze the web
information resources. Web content mining and structure mining
methods are used to analyze the web page contents. The user
access information is maintained under the web logs. The usage
mining technique is used to analyze the web logs. The web logs
are maintained under the web server environment. User access
patterns are extracted the web logs. The web content
management and link connectivity are improved using the access
patterns. The association rule mining techniques are used to
extract item set relationships. Item set frequencies are used in the
rule mining process. Page weights are used to denote the
importance of the web pages. The weighted rule mining
techniques are used to fetch the frequently accessed web pages
with its weight values Platform: |
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Author:varun |
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Description: Association rule mining can be used to discover interesting
rules large s easily for better decision making in most
real world applications except the financial market. This is because
the investors are interested in high profit and low risk trading results
more than in those of high confidence and high support. Based on a
working model of profit mining, we propose an effective algorithm for
investors to find trading rules that include information on profit, risk,
and win rate. This mining approach works well not only in the stock
market, but also in the futures and other markets. -Association rule mining can be used to discover interesting
rules large s easily for better decision making in most
real world applications except the financial market. This is because
the investors are interested in high profit and low risk trading results
more than in those of high confidence and high support. Based on a
working model of profit mining, we propose an effective algorithm for
investors to find trading rules that include information on profit, risk,
and win rate. This mining approach works well not only in the stock
market, but also in the futures and other markets. Platform: |
Size: 216064 |
Author:varun |
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Description: apriori算法实现，手动输入数据，只能得出频繁项集-apriori association rule you shoud input the item then it will output frequenct itemset Platform: |
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Author:ywd |
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Description: In this project the Knowledge is extracted. It like a association rule mining. There are three types of login admin, buyer and seller Platform: |
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Author:EasterRani07 |
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Description: 本文前三章分别简要介绍信息安全，入侵检测和安全日志的相关
概念和基本原理；第四章重点介绍数据挖掘技术，包括了关联规则分
析，序列分析，分类分析和聚类分析；第五章论证数据挖掘技术应用
于入侵检测系统的必要性和实施的系统架构；第六章详细说明实验流
程和实验过程中对关联规则算法的改进，其中重点研究了运用 K-均
值算法对审计日志做预处理和在实现关联规则挖掘时，如何改进
Apriori 算法，使之能在面对安全日志这种高维度数据时比原有算法
效率获得大幅度提高；-This article briefly describes the first three chapters were related to information security, intrusion detection, and security logs
The basic concepts and principles chapter focuses on data mining technology, including a sub-association rules
Analysis, sequence analysis, classification and clustering analysis Chapter demonstrate the application of data mining techniques
On the necessity of the intrusion detection system and system architecture implementation flow experiments described in detail in Chapter VI
Cheng and experiment to improve the algorithm of association rules, which are focused on the use of K-
Value preprocessing algorithm for audit logs and in the realization of association rule mining, the ways to improve
Apriori algorithm, so that it can log in the face of such high-dimensional data security than the original algorithm
Obtain greatly improved efficiency Platform: |
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Author:路粮户 |
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Description: Sample Association Rule Mining for Data mining in Matlab.-Sample Association Rule Mining for Data mining in Matlab. Platform: |
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Author: |
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Description: 数据挖掘中关联规则挖掘算法-apriori，的Python实现，代码中有测试样本-Data mining association rule mining algorithm-apriori, implementation of Python code in a test sample Platform: |
Size: 1024 |
Author:xingsha |
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Description: 关联规则挖掘算法的matlab程序，我编写了Apriori算法的temp步骤，可以自动生成关联规则，计算支持度、置信度以及tmep1检测，很好的小程序。-Association rule mining algorithm matlab program, I wrote temp step Apriori algorithm can automatically generate association rules, computing support, confidence and tmep1 detection, good little program. Platform: |
Size: 9216 |
Author:shiyulong_bt |
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Search - association rule