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Mining abnormal patterns is important in many areas. With the prevalence of big data, in order to ensure efficiency, an algorithm named PPSpan (JOMP-based parallel Prefix Span) is proposed under the research of traditional serial sequential pattern mining methods. Firstly, redundant parameters are eliminated with grey correlation analysis. Secondly, outlier information is extracted according to the...
Various health care devices owned by either hospitals or individuals are producing huge amount of health care data. The big health data may contain valuable knowledge and new business opportunities. Obviously, cloud is a good candidate to collect, store and analyse such big health care data. However, health care data is very sensitive for its owners, and thus should be well protected on cloud. This...
Through storage, consolidation, calculation, application core technologies of Big Data, application in electric power industry could drive upgrading and transformation of IT platform and business model of electric power companies. Big Data application in electric power industry requires to improve the capabilities of data storage and processing, which fills in the virgin areas of analysis and usage...
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