| Document Date: 2014-03-26 09:04:39
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Company Yano Research Institute Ltd. / Cambridge University Press / NEC / Engineering Research Member Media Analytics NEC Laboratories / MORINAGA / / Currency JPY / / Facility Key-Value Store / Yano Research Institute / / IndustryTerm electricity demand prediction formula / heterogeneous mixture data analysis technology / machine learning technology / heterogeneous mixture learning technology / heterogeneous mixture data mining technology / electricity demand data / data processing platforms / data processing infrastructure / electricity demand / data mining machine learning / data mining algorithms / electricity demand trend / knowledge-discovering technology / actual applications / heterogeneous data analysis technology / important energy cost reductions / electricity demand predictions / electricity demand prediction / prediction model search methods / search algorithms / conventional analysis technology / / Organization Cambridge University / Yano Research Institute / / Position Engineering Principal Researcher / General / prediction model for each group / / PublishedMedium the NEC Technical Journal / Machine Learning / / Technology conventional analysis technology / machine learning technology / heterogeneous mixture data mining technology / heterogeneous mixture learning technology / heterogeneous mixture data analysis technology / heterogeneous data analysis technology / data mining algorithms / Adaptive search algorithms / Data Mining / machine learning / knowledge-discovering technology / / URL http /
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Advanced technologies to support big data processing The Most Advanced Data Mining of the Big Data Era FUJIMAKI Ryohei, MORINAGA Satoshi Abstract Recently, the acquisition of knowledge from big data analysis is becoming