A survey of outlier detection algorithms for data streams
J Tamboli, M Shukla - 2016 3rd international conference on …, 2016 - ieeexplore.ieee.org
Data mining is characterized as the process of examining hidden patterns and outlining into
some useful information. It is an exciting field of research for researchers. Data streams are …
some useful information. It is an exciting field of research for researchers. Data streams are …
DGStream: High quality and efficiency stream clustering algorithm
Recently as applications produce overwhelming data streams, the need for strategies to
analyze and cluster streaming data becomes an urgent and a crucial research area for …
analyze and cluster streaming data becomes an urgent and a crucial research area for …
A Consolidated Study On Advanced Classification Techniques Used On Stream Data
With the era of IOT, every device is bound to generate data and every digital footprint is
noted. This advances in the technology gave rise to data generation at large stature and …
noted. This advances in the technology gave rise to data generation at large stature and …
Consolidated study & analysis of different clustering techniques for data streams
Recently a data mining particularly a stream data has been drawing widespread attentions
of the researchers and the experts around the globe and a huge number of interesting …
of the researchers and the experts around the globe and a huge number of interesting …
Real-time pre-processing technique for drift detection, feature tracking, and feature selection using adaptive micro-clusters for data stream classification
MS Hammoodi - 2018 - centaur.reading.ac.uk
Data streams are unbounded, sequential data instances that are generated with high
Velocity. Data streams arrive online (ie, instance by instance) and there is no control over …
Velocity. Data streams arrive online (ie, instance by instance) and there is no control over …