Mu-Hsing Kuore KushnirukElizabeth BoryckiFEI-PEI LAISarangerel DorjgochooErdenebaatar AltangerelChinburen Jigjidsuren2018-09-102018-09-102012-05https://www.scopus.com/inward/record.uri?eid=2-s2.0-84866952161&doi=10.1109%2fCTS.2012.6261097&partnerID=40&md5=cbb585368df0394ececa2cf0fa6b5fc0The aim of this paper is to propose a cloud-based data mining (DM) platform for researchers in three different geographic locations (Canada, Taiwan and Mongolia) for sharing research data/results through the Internet while remaining cost effective, flexible, secure and privacy-preserved. In addition, the study evaluates the implementation challenges of the cloud based platform and provides potential solutions to handle the identified issues so that other similar research can use this study as a reference to determine whether (or how) to migrate from traditional to cloud-based services. © 2012 IEEE.Cloud Computing; Collaborative Research; Data Mining; Healthcare Data Sharing; Service-Oriented ArchitectureCollaborative research; Cost effective; Data Sharing; Geographic location; Mongolia; Potential solutions; Research data; Cloud computing; Data mining; Health care; Information services; Service oriented architecture (SOA); Researchconference paper10.1109/CTS.2012.62610972-s2.0-84866952161