SRIHASS - a similarity measure for discovery of hidden time profiled temporal associations-Reference-Cited by-同舟云学术

SRIHASS - a similarity measure for discovery of hidden time profiled temporal associations

Published:2017-09-21 Issue:14 Volume:77 Page:17643-17692
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Radhakrishna Vangipuram^ORCID,Veereswara Kumar Puligadda,Janaki Vinjamuri

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/article/10.1007/s11042-017-5185-9/fulltext.html

Reference64 articles.

1. Agrawal R, Shafer JC (1996) Parallel mining of association rules. IEEE Trans Knowl Data Eng 8(6):962–969 https://doi.org/10.1109/69.553164

2. Agrawal R, Srikant R (1994) Fast Algorithms for Mining Association Rules in Large Databases. In: Bocca JB, Jarke M, Zaniolo C (eds) Proceedings of the 20th International Conference on Very Large Data Bases (VLDB ‘94). Morgan Kaufmann Publishers Inc., San Francisco, pp 487–499

3. Agrawal R, Imieliński T, Swami A (1993) Mining association rules between sets of items in large databases. SIGMOD Rec 22(2):207–216 https://doi.org/10.1145/170036.170072

4. Ale JM, Rossi GH (2000) An approach to discovering temporal association rules. In: Carroll J, Damiani E, Haddad H, Oppenheim D (eds) Proceedings of the 2000 ACM symposium on Applied computing - Volume 1 (SAC ‘00), vol 1. ACM, New York, pp 294–300 https://doi.org/10.1145/335603.335770

5. Aljawarneh S, Radhakrishna V, Kumar PV, Janaki V (2016) A similarity measure for temporal pattern discovery in time series data generated by IoT. 2016 International Conference on Engineering & MIS (ICEMIS), Agadir, pp 1–4 https://doi.org/10.1109/ICEMIS.2016.7745355

Cited by 44 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Plant Disease Classification Using Deep Bilinear CNN;Intelligent Automation & Soft Computing;2022

2. Design and Analysis of activation functions used in deep learning models;The 7th International Conference on Engineering & MIS 2021;2021-10-11

3. Automated text detection from big data scene videos in higher education: a practical approach for MOOCs case study;Journal of Computing in Higher Education;2021-09-03

4. Challenge Paper: The Vision for Time Profiled Temporal Association Mining;Journal of Data and Information Quality;2021-05-15

5. Similarity Association Pattern Mining in Transaction Databases;International Conference on Data Science, E-learning and Information Systems 2021;2021-04-05