Taxonomy grooming algorithm ‐ An autodidactic domain specific dimensionality reduction approach for fast clustering of social media text data

Social media being the most eminent source toward the growth of big data is important for information retrieval‐based applications to improve the efficiency in proportional to the volume it must deal with. One way to achieve better performance is to upgrade the processing capacity and the alternativ...

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Veröffentlicht in:	Concurrency and computation Jg. 34; H. 11
Hauptverfasser:	Renjith, Shini, Sreekumar, A., Jathavedan, M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken, USA John Wiley & Sons, Inc 15.05.2022 Wiley Subscription Services, Inc
Schlagworte:	Algorithms Big Data Clustering Digital media dimensionality reduction Information retrieval Reduction Segmentation social media data Social networks Taxonomy taxonomy grooming
ISSN:	1532-0626, 1532-0634
Online-Zugang:	Volltext
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