AprioriAll-Algorithm-master
所属分类：数值算法/人工智能
开发工具：Java
文件大小：817KB
下载次数：1
上传日期：2018-03-06 20:32:04
上 传 者：
sensensen
说明： To reduce the generation of candidate sequences and the scans to sequence database for
AprioriAll algorithm, an efficient sequential pattern mining method based on improved AprioriAll
algorithm is presented. Firstly, data are preprocessed. Then do the sequential pattern mining with
improved AprioriAll algorithm. The improvements of AprioriAll algorithm are mainly two points:
one is to change the connection of candidate sequences to reduce the generation of candidate
sequences; the other is to reduce the needless database scans to improve the efficiency of
algorithm. Finally, the efficiency and validity of improved AprioriAll algorithm is validated
through experiments.
文件列表:
Mining Sequential Patterns (0, 2016-03-04)
Mining Sequential Patterns\Instances (0, 2016-03-04)
Mining Sequential Patterns\Instances\big.txt (1079500, 2016-03-04)
Mining Sequential Patterns\Instances\little.txt (75, 2016-03-04)
Mining Sequential Patterns\Instances\medium.txt (1066489, 2016-03-04)
Mining Sequential Patterns\Results (0, 2016-03-04)
Mining Sequential Patterns\Results\big.txt (3504, 2016-03-04)
Mining Sequential Patterns\Results\little.txt (350, 2016-03-04)
Mining Sequential Patterns\Results\medium.txt (600280, 2016-03-04)
Mining Sequential Patterns\src (0, 2016-03-04)
Mining Sequential Patterns\src\main (0, 2016-03-04)
Mining Sequential Patterns\src\main\AprioriAll.java (8830, 2016-03-04)
Mining Sequential Patterns\src\objects (0, 2016-03-04)
Mining Sequential Patterns\src\objects\Candidate.java (605, 2016-03-04)
Mining Sequential Patterns\src\objects\CustomerSequence.java (582, 2016-03-04)
Mining Sequential Patterns\src\tests (0, 2016-03-04)
Mining Sequential Patterns\src\tests\InstanceGenerator.java (2084, 2016-03-04)
近期下载者：
相关文件：
收藏者：