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Cluster Computing
Erschienen in: Cluster Computing 4/2019

14.03.2018

Sequential mining of real time moving object by using fast frequence pattern algorithm

verfasst von: D. Venkatavara Prasad, N. Venkatesvara Rao, M. Sugumaran

Erschienen in: Cluster Computing | Sonderheft 4/2019

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Abstract

In the field of image processing, data mining technique is being implemented in various concepts. Generally, the management of video content with data mining technique became an essential part since there is an increase in the advancement of multimedia and networking technology. Previously, there are certain algorithm such as Apriori and frequency pattern growth algorithm for video management. In this paper, a novel fast frequency pattern algorithm is designed to find the high priority pattern with minimum time. In this concept the data mining process is carried out in vertical format in order to find the pattern with high priority. The simulated results are compared with the existing data mining algorithms and it is found that the proposed algorithm is efficient in aspect of time and memory size.
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Metadaten
Titel
Sequential mining of real time moving object by using fast frequence pattern algorithm
verfasst von
D. Venkatavara Prasad
N. Venkatesvara Rao
M. Sugumaran
Publikationsdatum
14.03.2018
Verlag
Springer US
Erschienen in
Cluster Computing / Ausgabe Sonderheft 4/2019
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-018-2370-1

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