Finding Top- $k$ Dominance on Incomplete Big Data Using MapReduce Framework

Finding Top- $k$ Dominance on Incomplete Big Data Using MapReduce Framework

Incomplete data is one major kind of multi-dimensional dataset that has random-distributed missing nodes in its dimensions. It is very difficult to retrieve information from this type of dataset when it becomes large. Finding top-k dominant values in this type of dataset is a challenging procedure....

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Bibliographic Details
Main Authors: Payam Ezatpoor, Justin Zhan, Jimmy Ming-Tai Wu, Carter Chiu
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Top-<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">k</italic> dominance
incomplete data
bigdata
mapreduce
hadoop
dominance relationship
Online Access:https://ieeexplore.ieee.org/document/8267252/

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https://ieeexplore.ieee.org/document/8267252/

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