Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/15228
Title: Association pattern mining in spatio-temporal databases
Authors: WANG JUNMEI
Keywords: Spatio-temporal data mining, assiocation patterns
Issue Date: 8-May-2006
Source: WANG JUNMEI (2006-05-08). Association pattern mining in spatio-temporal databases. ScholarBank@NUS Repository.
Abstract: This thesis studies the techniques for discovering association patterns in spatio-temporal databases by combining spatial and temporal information together. We first investigate the problem of mining topological patterns by imposing temporal constraints into spatial collocation patterns mining. Next, we study the problem of mining spatial sequence patterns by incorporating spatial information into sequence mining and introduce two new classes of spatial sequence patterns: Flow Patterns and Generalzied spatio-temporal patterns. Finally, we study the problem of mining arbitrary spatio-temporal patterns by modeling spatio-temporal data as graphs.
URI: http://scholarbank.nus.edu.sg/handle/10635/15228
Appears in Collections:Ph.D Theses (Open)

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