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  1. University of Computer Studies, Yangon
  2. Conferences

Searching Optimal Bus-routes based on Frequent Subgraph Mining

http://hdl.handle.net/20.500.12678/0000005071
f031bc2a-7883-490a-a580-88b9e2bd318e
ec9c27cc-b166-439b-94a0-e9ea130567a7
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65_PDFsam_PSC_final 65_PDFsam_PSC_final proof.pdf (137 Kb)
Publication type Article
Upload type Publication
Title
Searching Optimal Bus-routes based on Frequent Subgraph Mining
en
Publication date 2017-12-27
Authors
Lwin, Khin Moe
Soe, Khin Mar
Description
This paper proposed an approach ofsearching the optimal bus-routes based on datamining technology called Frequent SubgraphMining (FSM).FSM is an important task forexploratory data analysis on graph data. Manyapproaches handling graph data assume that thedata structure of the mining task is small enoughto fit in the main memory of a computer. However,as the real-world graph data grows, both in sizeand quantity, such an assumption does not holdany longer. To overcome this problem, theproposed system use MapReduce frameworkwhich is becoming the de-facto paradigm forcomputation on massive data. In this paper, it hasthree main phases: partition, preparation andmining. The mining phase use MapReduceparadigm. The proposed system demonstrates thesearching of optimal routes, which means theminimum bus-stops, in Yangon region. It can helpthe travelers in finding the bus-stops and routesduring their visit in Yangon.
Journal articles
Eighth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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