Nowadays, in almost every computer system, log files are used to keep records of occurring
events. Those log files are then used for analyzing and debugging system failures. Due to …

The optimal use of electric power consumption is a fundamental indicator of the normal use
of energy resources. Its quantity depends on the loads connected to the electric power grid …

Subspace clustering discovers clusters embedded in multiple, overlapping subspaces of
high dimensional data. It has been successfully applied in many domains. Data streams are …

Data stream mining has taken over as a new field of research during past few years. It has
gained lot of attention recently due to its challenging characteristics like dynamic nature …

Abstract Machine learning is becoming increasingly popular in a range of fields. Big data
helps machine learning algorithms better timely and accurate recommendations than ever …

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 …

Subspace clustering aims at discovering the clusters embedded in multiple, overlapping
subspaces of high dimensional data. It has been successfully applied in many domains such …

Clustering algorithms have been developed as an excellent algorithms to precisely break
down the massive volume of information produced by modern applications. Specifically …

Subspace clustering has been successfully applied in many domains and its goal is to
simultaneously detect both clusters and subspaces of the original feature space where these …

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 …