Analyzing patterns in a volume of data and taking an action based on the analysis involves
receiving data and training the data to create training examples, and then selecting features …

The rise in mental health problems among people and the need for effective solutions for
mental health have led to a lot of research in the machine learning domain for its …

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 …

The percentage of students who graduate on time is one of the elements of accreditation of a
study program. Based on data from the administrative and academic (BAAK) in 2013 …

NeuroinformaticsNatural Language Processing (NeuroNLP) relies on clustering and
classification for information categorization of biologically relevant extraction targets and for …

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 …

Nowadays, many physical world appliances found data streams like telecommunication
system, multimedia data, medical data streams. Traditional data stream mining allows …

Nowadays, many organizations generate continuous flow of data. The data may arrive as
rapid, multiple, continuous, time‐varying data streams. Such streaming data is generated …

All has access to an array of data in today's information era. Computing and storage
capabilities have exploded in the last decade, and we now have the capacity to store this …

One of the dominant application areas of machine learning will be the industrial internet
(Internet of Things), although most of the data will actually be confined to smaller internal …