Construction of MLN based proofing system for daily route monitoring

Hyunkyung Shin ()
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Hyunkyung Shin: Gachon University

No 3506135, Proceedings of International Academic Conferences from International Institute of Social and Economic Sciences

Abstract: Daily route is a collection of data consisted of geographical points with time of a day and can be obtained easily from mobile device with GPS. Rd = {(GpX, GpY, T)}. A detection model for data abnormality has various applications including protection of child or elderly person from missing.In this paper we build a first order logic based proofing system of daily route integrated with Markov property. From a set of daily route data, we construct a graph consist of a few cluster nodes and linking edges by eliminating most of intermediate geo-points. Our proofing system is collection of FOL expressions consisted of triplet with instance, slot name, and slot value, where the instances are represented by the cluster node in graph and slot name by the edge. A challenge in this problem is automatic clustering for identification of node from continuously updated daily route data. We present an incremental learning method for updating daily route

Keywords: markov logic network; global positioning system; proofing system (search for similar items in EconPapers)
JEL-codes: I29 (search for similar items in EconPapers)
Pages: 1 page
Date: 2016-04
New Economics Papers: this item is included in nep-tre
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Published in Proceedings of the Proceedings of the 22nd International Academic Conference, Lisbon, Apr 2016, pages 264-264

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