Finding Frequent and Maximal Periodic Patterns in Spatiotemporal Databases Towards Big Data

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Provided by: International Journal of Emerging Technology and Advanced Engineering (IJETAE)
Topic: Data Management
Format: PDF
Data mining used to find hidden knowledge from large amount of databases. Periodic pattern mining is useful in weather forecasting, fraud detection and GIS Applications. In general, spatio-temporal pattern discovery process finds the partially ordered subsets of the event-types whose instances are located together and occur serially for a given collection of boolean spatio-temporal event-types. Big data concerns large-volume, complex, growing data sets with multiple, autonomous sources. With the fast development of networking, data storage, and the data collection capacity, big data is now rapidly expanding in all science and engineering domains, including physical, biological and bio-medical sciences.
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