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Published in 2020 at "Applied Intelligence"
DOI: 10.1007/s10489-019-01606-1
Abstract: Short text stream clustering has become an important problem for mining textual data in diverse social media platforms (e.g., Twitter). However, most of the existing clustering methods (e.g., LDA and PLSA) are developed based on…
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Keywords:
stream clustering;
text stream;
text;
short text ... See more keywords
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2
Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.2990196
Abstract: Many big data applications produce a massive amount of high-dimensional, real-time, and evolving streaming data. Clustering such data streams with both effectiveness and efficiency are critical for these applications. Although there are well-known data stream…
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Keywords:
data stream;
esa stream;
online data;
stream ... See more keywords
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Published in 2021 at "International Journal of Intelligent Engineering and Systems"
DOI: 10.22266/ijies2021.1031.31
Abstract: Many different applications in the real world can generate huge amount of data, that has unconventional features including massive size, fast access, besides the evolving in its nature; this is data stream. Data stream clustering…
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Keywords:
cauchy algorithm;
evolving cauchy;
data stream;
stream ... See more keywords