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Title: Enhanced Multi View Clustering Algorithm for Big Data Processing
Authors: Aggarwal, Isha
Kumar, Pardeep [Guided by]
Keywords: MATLAB
Big data algorithm
Simulation tool
Issue Date: 2017
Publisher: Jaypee University of Information Technology, Solan, H.P.
Abstract: Information is a noteworthy piece of the data i.e. it is appropriately organized utilizing some extraordinary procedure. Typically, information could lie in a few structures like numbers and content in the database, as bits/bytes in PC memory, as actualities in the mind of individual. In addition, data is at present at every last place on the planet. There is no-restriction on the data display everywhere throughout the world. Since the day when human improvement begins, we generally lie with some data. Everyday life manages some data with/with no reason. The data could be of any sort like memory of somebody's name/sparing a play-rundown of thousands of tunes. Big data Streaming examination these days has separately turned out to be a standout amongst the most noteworthy subjects in the rundown of information experts since huge nature of information are delivered general by the few gadgets. Big data alludes to an accumulation of various datasets that are so immense and troublesome that it winds up noticeably hard to gather them utilizing conventional data giving out applications. The problems add study, confine study, division, storage, and image, confidentiality violation. The features of big information are attributes and data types / units. Big data is the major information that manages use to analysis the attributes and data-types.
Appears in Collections:Dissertations (M.Tech.)

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