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Big Data Mining in the Presence of Concept Drifting
(2019-03-05)
Concept drift in big data mining is an absolute, highly demanding research issue in this digital era. A concept in "concept drift" involved in the field of data mining (DM) and machine learning (ML) studies is referred ...
Correlation Based Feature Selection with Clustering for Multi-Class Classification Tasks
(2019-05-20)
In recent times high dimensional data is increasing rapidly. Reduce the dimensionality has become popular by feature selection process. So many scientists prefer to use correlation base feature selection method for grouping ...
Network Intrusion Classification with Feature Reduction
(2019-05-29)
Nowadays, in data technology, data preservation has become a good issue. Computers
and completely different security breaches are incessantly attacked by
security threats. There are completely different malicious network ...
Active Learning with Clustering for Mining Big Data
(2019-05-28)
Big data mining is become a key research issue nowadays. It's costly and
also time-consuming to extract knowledge from big data. Big data is so
big, it contains millions of data points that's why it's very difficult to ...
Machine Learning for Mining Big Data: A Review
(2018-11-20)
Development of Big Data is virtually transforming our lifestyle. It is also ac- celerating industrial growth through process optimization, insight discovery and improved decision making. The massive scale of big data exceeds ...