Clustering is the process of grouping the data based on their similar properties. Meanwhile,
it is the categorization of a set of data into similar groups (clusters), and the elements in each …

The main purpose of this paper is to provide a theoretically grounded discussion on big data
mining for customer insights, as well as to identify and describe a research gap due to the …

Human activity recognition (HAR) using smartphones provides significant healthcare
guidance for telemedicine and long-term treatment. Machine learning and deep learning …

Across a wide variety of fields and especially for industrial companies, data are being
collected and accumulated at a dramatic pace from many different resources and services …

Data mining is used for finding meaningful information out of a vast expanse of data. With
the advent of Big Data concept, data mining has come to much more prominence …

Two notable applications of text classification are sentiment analysis and spam filtering.
Traditional machine learning approaches to text classification are often complex, non …

Intelligent solar tracking systems to track the trajectory of the sun across the sky has been
actively studied and proposed nowadays. Several low performance intelligent solar tracking …

The Internet of Things (IoT) connects heterogeneous physical devices with the ability to
collect data using sensors and actuators. These data can infer useful information for …

Clustering is the most widely used unsupervised machine learning technique, having
extensive applications in statistical analysis. We have multiple clustering algorithms …

21st Century has marked high velocity of data generation not only in terms of size but also in
variety. Analyzing large data sets with different forms is also a challenging task. Data Mining …