HPPD : a hybrid parallel framework of partition-based and density-based clustering algorithms in data streams

Data stream clustering refers to the process of grouping continuously arriving new data chunks into continuously changing groups to enable dynamic analysis of segmentation patterns. However, the main attention of research on clustering methods till now has been concerned with alteration of the metho...

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Vydané v:	AL-Rafidain journal of computer sciences and mathematics Ročník 14; číslo 1; s. 67 - 82
Hlavný autor:	al-Abd al-Aziz, Ammar Zahir Yasin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	الموصل، العراق جامعة الموصل، كلية علوم الحاسبات و الرياضيات 03.06.2020 Mosul University
Predmet:	big data data stream clustering algorithms hybrid clustering algorithms الخوارزميات نظم المعالجة المتوازية
ISSN:	1815-4816, 2311-7990
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