A Dirichlet process biterm-based mixture model for short text stream clustering
Sign Up to like & getrecommendations! 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… read more here.
Keywords: stream clustering; text stream; text; short text ... See more keywords
ESA-Stream: Efficient Self-Adaptive Online Data Stream Clustering
Sign Up to like & getrecommendations! 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… read more here.
Keywords: data stream; esa stream; online data; stream ... See more keywords
Data Stream Clustering Using Fuzzy-based Evolving Cauchy Algorithm
Sign Up to like & getrecommendations! 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… read more here.
Keywords: cauchy algorithm; evolving cauchy; data stream; stream ... See more keywords