An Efficient Algorithm for Mining Sequential Patterns

Autor:	M. Sunil Kumar, K. Jeevan Pradeep, B. Sreedhar, Gurram Sunitha
Rok vydání:	2017
Předmět:	Sequence Event (computing) Computer science InformationSystems_DATABASEMANAGEMENT computer.software_genre Data structure Component (UML) Key (cryptography) Data mining Voronoi diagram computer Spatial analysis Computer Science::Databases FSA-Red Algorithm
Zdroj:	Advances in Intelligent Systems and Computing ISBN: 9789811032226
DOI:	10.1007/978-981-10-3223-3_6
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c26b7e2f38d9ed4413be13d0862ac042 https://doi.org/10.1007/978-981-10-3223-3_6 Zobrazit plný text záznamu