Depression detection from Social Networking sites has been studied broadly in previous
years. These sites provide a platform for their users to share their life events, emotions, and …

The number and size of medical databases are rapidly increasing, and the advanced
models of data mining techniques could help physicians to make efficient and applicable …

Data mining refers to extracting or mining knowledge from large amount of data. It is also
defined as finding hidden information from a database. It is a technique which is used …

Health data requires analytical methodology in identifying vital information that are used for
decision making. Data mining is important for the healthcare sector in identification and …

In the field of information security, there are several areas of study that are under
development. Social engineering is one of them that addresses the multidisciplinary …

Heart diseases are the chief cause of death all over the world over the last few decades. To
avoid heart disease or coronary illness and discover indications early, individuals over 55 …

Data mining (DM) comprises the core algorithms that enable to gain fundamental insights
and knowledge from massive data. In fact, data mining is a part of a larger knowledge …

Revised: 27/Oct/2017, Accepted: 19/Nov/2017, Published: 30/Nov/2017 Abstract-Knowledge
plays a vital role in every sphere of human life. Data Mining supports to acquire knowledge …

Nowadays, cyberbullying cases are more common due to free access to technological
resources. Studies related to this phenomenon from the fields of computer science and …

Many machine learning-based methods have been widely applied to Coronary Artery
Disease (CAD) and are achieving high accuracy. However, they are black-box methods that …