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2018 | OriginalPaper | Chapter

An Efficient Algorithm for Mining Sequential Patterns

Authors : Gurram Sunitha, M. Sunil Kumar, B. Sreedhar, K. Jeevan Pradeep

Published in: Data Engineering and Intelligent Computing

Publisher: Springer Singapore

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Abstract

The temporal component of the spatio-temporal databases is the key factor that leads to large accumulation of data. It can be said that continuous collection of spatial data, leads to spatio-temporal databases. A event type sequence is called as an sequential pattern and extracting spatio-temporal sequential patterns from spatio-temporal event data sets paves way to define causal relationships between event types. In this paper, a data structure has been proposed to support efficient mining of sequential patterns.

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Metadata
Title
An Efficient Algorithm for Mining Sequential Patterns
Authors
Gurram Sunitha
M. Sunil Kumar
B. Sreedhar
K. Jeevan Pradeep
Copyright Year
2018
Publisher
Springer Singapore
Book
Data Engineering and Intelligent Computing

Print ISBN: 978-981-10-3222-6

Electronic ISBN: 978-981-10-3223-3

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-3223-3_6

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