000 -LEADER |
fixed length control field |
a |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OSt |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20220913135224.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
220913b xxu||||| |||| 00| 0 eng d |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
AIKTC-KRRC |
Transcribing agency |
AIKTC-KRRC |
100 ## - MAIN ENTRY--PERSONAL NAME |
9 (RLIN) |
17867 |
Author |
Sardar, Tanvir H. |
245 ## - TITLE STATEMENT |
Title |
Mapreduce-based fuzzy C-means algorithm for distributed document clustering |
250 ## - EDITION STATEMENT |
Volume, Issue number |
Vol.103(1), Feb |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Place of publication, distribution, etc. |
New York |
Name of publisher, distributor, etc. |
Springer |
Year |
2022 |
300 ## - PHYSICAL DESCRIPTION |
Pagination |
131-142p. |
520 ## - SUMMARY, ETC. |
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 |
700 ## - ADDED ENTRY--PERSONAL NAME |
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 |
856 ## - ELECTRONIC LOCATION AND ACCESS |
URL |
https://link.springer.com/article/10.1007/s40031-021-00651-0 |
Link text |
Click here |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Koha item type |
Articles Abstract Database |