Multi-Resolution Pruning Based Co-Location Identification In Spatial Data
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 2
Abstract
A co-location spatial pattern is a pattern of multiple groups which co-relates spatial features or events that are frequently located in same zone. Co-location pattern mining emphasizes overall analysis bymanipulating the proportion of spatial features and other relevant information’s. In this paper we are trying to remove the problem of co-location mining from the large data set. Data is generated from wide range of data sources that are available in geographical space. One method to mine the widely spread co-location is to compute the participation index in measuring the prevalence of the co-location. First option from the above said the measure is closely inter-related to cross function, which often used for measuring the statistical among various pair of spatial features. Second option focused on the property of anti-monotones which can be included for computational perspective efficiency. In this paper, we are trying to incorporate a novel multi-resolution pruning technique to address the problem of mining co-location data pattern with rare spatial features
Authors and Affiliations
Sruthi K Surendran, S. Dhamodaran
Keywords
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- EP ID EP99704
- DOI 10.9790/0661-16260105
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