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HealthSCOPE: An Interactive Distributed Data Mining Framework for Scalable Prediction of Healthcare Costs

contributor authorMarquardt, Ames
contributor authorNewman, Stacey
contributor authorHattarki, Deepa
contributor authorSrinivasan, Rajagopalan
contributor authorSushmita, Shanu
contributor authorRam, Prabhu
contributor authorPrasad, Viren
contributor authorHazel, David
contributor authorRamesh, Archana
contributor authorCock, Martine De
contributor authorTeredesai, Ankur
date accessioned2020-03-12T22:45:44Z
date available2020-03-12T22:45:44Z
date issued2014
identifier other7022740.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1093662?show=full
formatgeneral
languageEnglish
publisherIEEE
titleHealthSCOPE: An Interactive Distributed Data Mining Framework for Scalable Prediction of Healthcare Costs
typeConference Paper
contenttypeMetadata Only
identifier padid8233157
subject keywordsJava
subject keywordsn Web services
subject keywordsn aspect-oriented programming
subject keywordsn authorisation
subject keywordsn cloud computing
subject keywordsn cryptographic protocols
subject keywordsn Eclipse plug-in
subject keywordsn Java-based cloud platform toolkit
subject keywordsn OAuth 2 Web authorization framework
subject keywordsn SOA
subject keywordsn Web services
subject keywordsn aspect-oriented programming
subject keywordsn authorization protocol
subject keywordsn cloud service authorization
subject keywordsn platform-level support
subject keywordsn user protection
subject keywordsn Authorization
subject keywordsn Insurance
subject keywordsn Libraries
subject keywordsn Protocols
subject keywordsn Servers
subject keywordsn Web services
subject keywordsn Auth
identifier doi10.1109/IC2E.2014.60
journal titleata Mining Workshop (ICDMW), 2014 IEEE International Conference on
filesize382054
citations1


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