Description: 关联规则挖掘，一种改进了的APRIORI算法，效率较原有算法大大提高-mining association rules, an improved algorithm for the analysis and efficient than the original algorithm greatly enhanced Platform: |
Size: 2921 |
Author:程会平 |
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Description: 用JAVA编写的apriori中的动态项目集计数实现算法。采用Hash方法实现具体的划分，属于apriori的一种改进算法-with JAVA apriori prepared by the dynamic item counting algorithm. Hash methods used to achieve specific division is apriori an improved algorithm Platform: |
Size: 5315 |
Author:kpeng |
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Description: 关联规则挖掘，一种改进了的APRIORI算法，效率较原有算法大大提高-mining association rules, an improved algorithm for the analysis and efficient than the original algorithm greatly enhanced Platform: |
Size: 3072 |
Author:程会平 |
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Description: 用JAVA编写的apriori中的动态项目集计数实现算法。采用Hash方法实现具体的划分，属于apriori的一种改进算法-with JAVA apriori prepared by the dynamic item counting algorithm. Hash methods used to achieve specific division is apriori an improved algorithm Platform: |
Size: 5120 |
Author:kpeng |
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Description: 本文根据数据挖掘中关联规则的性质以及高校成绩管理数据库的自身特点。在经典关联规则算法Apriori算法的基础上提出了一种改进的算法A++算法，并利用该算法对学生成绩管理数据库进行了关联规则挖掘，得到了隐含在数据库中的有用信息。-Based on data mining association rules in the nature of the college performance management database to its own characteristics. In the classic Apriori algorithm for association rule algorithm based on an improved algorithm A++ Algorithm, and using the algorithm of student achievement management of database for mining association rules, have been implied in the database of useful information. Platform: |
Size: 217088 |
Author:梁旭 |
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Description: apriori经典算法及一个改进算法的程序,里面有具体的解析与操作-classical apriori algorithm and an improved algorithm for the procedure, there are specific analytical and operational Platform: |
Size: 36864 |
Author:huhu |
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Description: 一种新的高效Apriori算法。提出一种使用先验算法产生频繁2项目集，并给出一种简单有效的逐步缩减交易数据库的方法，加快了频繁k项目集的验证速度。-To solve the bottleneck of the apriori algorithm,a new method to generate the 2-frequent item sets is put forword. To accelerate the verification speed of the k-frequent item sets,a simple and highly efficient method of minimizing the trade database is given. Platform: |
Size: 185344 |
Author:刘曦 |
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Description: 将FP-G rowth算法应用于面向目标的关联规则(OOA)挖掘,对FP-Tree的结点进行了修改,增加了目标支持度计数和效用度累计两个字段,对FP-G rowth算法进行了改进.实验结果表明,改进后的方法比基于Apriori算法和基于D free算法的OOA挖掘效率更高.
-The FP-G rowth algorithm is applied to a goal-oriented association rules (OOA) mining, on the FP-Tree nodes were modified to increase the target degree of support for the effectiveness of cumulative counts and two fields, the FP-G rowth algorithm is improved. The experimental results show that the improved approach is better than Apriori-based algorithm and D free algorithm OOA mining more efficient. Platform: |
Size: 3072 |
Author:吴正波 |
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Description: 一种改进后的Apriori算法，可用于数据挖掘中的关联性发现。-A kind of improved Apriori algorithm can be used for data mining of association was found. Platform: |
Size: 10240 |
Author:舒蕾 |
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Description: c#与ASP编写的aprior算法实现，并对挖掘算法做了改进。-c# and ASP prepared aprior algorithm, and mining algorithms are improved. Platform: |
Size: 21504 |
Author:lixiang |
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Description: 改进的Apriori算法在老人健康系统中的应用研究与实现，-Improved Apriori algorithm in Elderly Health System Research and Implementation Platform: |
Size: 4742144 |
Author: |
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Description: 使用Apriori算法和Apriori算法的改进版以及FPtree和FPtree的改进版进行数据关联度挖掘并计算得出挖掘用时和每个频繁模式的支持度-Apriori algorithm and the Apriori algorithm using an improved version and improved version FPtree and FPtree for data mining and correlation is calculated using the time and support mining frequent patterns for each Platform: |
Size: 17217536 |
Author:ljy |
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Description: 一种改进的aprior算法，用二进制的编码计算来取代传统算法的剪枝和联接操作，可以避免多次扫描系统和减少候选集，提高运算效率-An improved aprior algorithm, using binary coding calculations to replace traditional methods of pruning and join operations, to avoid repeated scanning system and reduce the candidate sets, improve operational efficiency Platform: |
Size: 186368 |
Author:徐伟清 |
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Description: 改进的apriori算法，希望能帮助大家学习和改进-Improved apriori algorithm, hoping to help you learn and improve Platform: |
Size: 54272 |
Author:fadfaddfa |
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Description: 基于HASH的APRIORI改进算法，完整的代码和测试数据，主要进行数据挖掘中的频繁项集和关联规则的挖掘-The improved algorithm based on the HASH APRIORI, complete code and test data, mainly for mining data mining frequent itemsets and association rules Platform: |
Size: 5120 |
Author:朱小微 |
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Description: Cours-Data-Mining.IMPLEMENTATION AND COMPARATIVE STUDY OF IMPROVED
APRIORI ALGORITHM FOR ASSOCIATION PATTERN MINING Platform: |
Size: 237568 |
Author:emna
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Search - improved apriori