Discovering Spatiotemporal Topological Relationships

Rao, K. Venkateswara; Govardhan, A.

doi:10.1007/978-3-642-22555-0_52

Cited by 9 publications

(8 citation statements)

References 6 publications

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“…The duration of time considered is from 2000-01-01 12:12:12 to 2000-12-31 12:12:12. The topological relationships between every pair of the objects are generated [8] …”

Section: Resultsmentioning

confidence: 99%

“…1. Fetching the task relevant data by the model based on input received from the controller and discovering spatiotemporal topological relationships [8] for every pair of spatial objects (each is from one type specified in the input) using the functions in the model. specified threshold value for minimum support, display of frequent topological relationship patterns is done by the View.…”

Section: Methodsmentioning

confidence: 99%

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Mining Topological Relationship Patterns from Spatiotemporal Databases

k¹

2012

IJDKP

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“…The duration of time considered is from 2000-01-01 12:12:12 to 2000-12-31 12:12:12. The topological relationships between every pair of the objects are generated [8] …”

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Mining Topological Relationship Patterns from Spatiotemporal Databases

k¹

2012

IJDKP

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“…5 to reduce the complexity of the framework and to increase ease of interpretation. But all the interfaces of ST_topological relationship Patterns discovery [14,15] component and their usage in discovering Spatiotemporal Topological Relationships patterns are shown in Fig. 6 for visualization of complete functional structure model of the framework.…”

Section: Functional Structure Modelmentioning

confidence: 99%

An Architecture Framework For Spatiotemporal Data Mining System

Rao¹

2012

IJSEA

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Spatiotemporal data mining is an emerging area of research. Applications for mining different kinds of spatiotemporal patterns and trends are being developed by researchers in various domains. However, there is a need for underlying architecture framework for these applications to provide reusability of analysis and design. This research paper addresses such a requirement by adopting conceptual model of architecture framework described in ISO/IEC 42010:201X standard for Systems and Software Engineering -Architecture Description. This research identifies stakeholders and their concerns, describes context, integration, information, functional, concurrency and technology viewpoints as architectural viewpoints which provide reusability of analysis and design for spatiotemporal data mining applications. The correspondence rules which describe correspondence among the viewpoints are also described.

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“…Scale effect in space and time is a challenging issue in spatiotemporal data analysis and mining. Scale in terms of spatial resolution or temporal granularity can have a direct impact on the kind and strength of spatiotemporal relationships [2] that can be discovered in datasets. 6.…”

Section: Issues and Challengesmentioning

confidence: 99%

“…This relationship may change over time. Discovering the time-varying topology among objects involves processing the evolution of the spatial objects and computing topological relationship among them at different points of time [2]. The topological relationships among spatial objects can be represented using a graph in which nodes represent spatial objects and the edges represent topological relationship between the nodes.…”

Section: Spatiotemporal Topological Relationship Discoverymentioning

confidence: 99%