Mapreduce-based fuzzy C-means algorithm for distributed document clustering (Record no. 17511)

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control field 20220913135224.0
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fixed length control field 220913b xxu||||| |||| 00| 0 eng d
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Original cataloging agency AIKTC-KRRC
Transcribing agency AIKTC-KRRC
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9 (RLIN) 17867
Author Sardar, Tanvir H.
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Title Mapreduce-based fuzzy C-means algorithm for distributed document clustering
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Volume, Issue number Vol.103(1), Feb
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Place of publication, distribution, etc. New York
Name of publisher, distributor, etc. Springer
Year 2022
300 ## - PHYSICAL DESCRIPTION
Pagination 131-142p.
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Summary, etc. The clustering of big data is a challenging task. The traditional clustering algorithms are inefficient for clustering big data. The recent researches in this field suggest that the traditional clustering algorithms needed to be redesigned for the modern architecture of computing. This wok has proposed a novel MapReduce-based fuzzy C-means algorithm for big document data clustering. The algorithm is extensively experimented with using different sizes of document datasets and executed over the Hadoop cluster of different sizes. The proposed algorithm’s efficiency is compared against serial traditional fuzzy C-means and MapReduce-based K-means algorithms. The proposed design of the fuzzy C-means algorithm is scaled well with the Hadoop platform and documents big datasets and resulted in a performance gain.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4642
Topical term or geographic name entry element Humanities and Applied Sciences
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9 (RLIN) 17868
Co-Author Ansari, Zahid
773 0# - HOST ITEM ENTRY
Title Journal of the institution of engineers (India): Series B
International Standard Serial Number 2250-2106
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URL https://link.springer.com/article/10.1007/s40031-021-00651-0
Link text Click here
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Source of classification or shelving scheme
Koha item type Articles Abstract Database
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          School of Engineering & Technology School of Engineering & Technology Archieval Section 2022-09-13 2022-1579 2022-09-13 2022-09-13 Articles Abstract Database
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