Design and Analysis of a Novel Temporal Dissimilarity Measure Using Gaussian Membership function

被引：0

作者：

Radhakrishna, Vangipuram ^{[1
]}

Kumar, P. V. ^{[2
]}

Aljawarneh, Shadi A. ^{[3
]}

Janaki, V. ^{[4
]}

机构：

[1] VNR VJIET, Dept Informat Technol, Hyderabad, Andhra Pradesh, India

[2] Osmania Univ, Acharya Inst Technol, UCOE, Comp Sci & Engn, Bangalore, Karnataka, India

[3] JUST, Software Engn Dept, Irbid, Jordan

[4] Vaagdevi Coll Engn, Comp Sci & Engn, Warangal, Andhra Pradesh, India

来源：

2017 INTERNATIONAL CONFERENCE ON ENGINEERING & MIS (ICEMIS) | 2017年

关键词：

temporal data; time stamp; support bounds; seasonal pattern; association pattern; temporal trend;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Earlier research works addressing the problem of mining time profiled temporal association patterns did not address the possibility of using new similarity measures in the context of time stamped temporal databases except some of our previous works. This research throws focus on designing a new similarity measure for mining similarity profiled temporal association patterns. The objective is to design a fuzzy similarity measure which can be used to discover all valid similarity profiled temporal association patterns.

引用

页数：5

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