most citedA Weighted Mutual k-Nearest Neighbour for Classification Mining

6 citations · 7 across the 3 of their papers we have counts for

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cs.LG2020

Enhash: A Fast Streaming Algorithm For Concept Drift Detection

Aashi Jindal, Prashant Gupta, Debarka Sengupta +1

We propose Enhash, a fast ensemble learner that detects \textit{concept drift} in a data stream. A stream may consist of abrupt, gradual, virtual, or recurring events, or a mixture…

cs.LG2020★ 6 cited

A Weighted Mutual k-Nearest Neighbour for Classification Mining

Joydip Dhar, Ashaya Shukla, Mukul Kumar +1

kNN is a very effective Instance based learning method, and it is easy to implement. Due to heterogeneous nature of data, noises from different possible sources are also widespread…