Improved understanding of human-nature interactions is crucial to conservation science and
practice, but collecting relevant data remains challenging. Recently, social media have …

The increasing world population and availability of energy hungry smart devices are major
reasons for alarmingly high electricity consumption in the current times. So far, various …

This paper presents a comprehensive study on clustering: exiting methods and
developments made at various times. Clustering is defined as an unsupervised learning …

Although there are several good books on unsupervised machine learning, we felt that many
of them are too theoretical. This book provides practical guide to cluster analysis, elegant …

Abstract The Synthetic Minority Over-sampling Technique (SMOTE) is a well-known
resampling strategy that has been successfully used for dealing with the class-imbalance …

Zika fever is an infectious disease caused by the Zika virus (ZIKV). The disease is claiming
millions of lives worldwide, primarily in developing countries. In addition to vector control …

Missing data is common problem faced by researchers and data scientists. Therefore, it is
required to handle them appropriately in order to get better and accurate results of data …

The unpredictability and intermittency introduced by Renewable Energy Sources (RESs) in
power systems may lead to unforeseen peaks of energy production, which might differ from …

Heart disease, one of the major causes of mortality worldwide, can be mitigated by early
heart disease diagnosis. A clinical decision support system (CDSS) can be used to …

Data analytics in massive manufacturing data can extract huge business values while can
also result in research challenges due to the heterogeneous data types, enormous volume …