Data Flow of Motivated Data Using Heterogeneous Method for Complexity Reduction

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Provided by: The International Journal of Innovative Research in Computer and Communication Engineering
Topic: Big Data
Format: PDF
Big data is huge data sets with sizes above the ability of commonly used software tools to manage and process the data within a tolerable minimum time. The era of big data has arrived astonishingly in the past few years. Numerous data are produced in the form of documents, chatting messages, audio, video and applications and they are spread in the web. This paper presents a HACE theorem that characterizes the features of the big data revolution and proposes a big data processing model, from the data mining perspective.
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