Outlier detection (outlier and anomaly are used interchangeably in this review) in non-
independent and identically distributed (non-IID) data refers to identifying unusual or …

As digitization is increasing, threats to our data are also increasing at a faster pace.
Generating fake videos does not require any particular type of knowledge, hardware …

As a harmless detection method, terahertz has become a new trend in security detection.
However, there are inherent problems such as the low quality of the images collected by …

We live in an age where everything around us is being created. Data generation rates are so
scary, creating pressure to implement costly and straightforward data storage and recovery …

Wireless channels are used to link vehicles in a VANET. In these networks, there is no fixed
or static base station or any other kind of infrastructure support. An ad hoc network for mobile …

The rapid growth of Web 2.0, which enables people to generate, communicate, and share
information, has resulted in an increase in the total number of users. In developing countries …

The sentiment analysis can be divided into the following two categories: one is based on the
complex network of virtual community knowledge network, which found the structure directly …

Large datasets have become useful in data mining for processing, storing, and handling vast
amounts of data. However, handling and processing large datasets is time-consuming and …

Information is currently a more important resource than ever for any firm we can imagine.
Sensor frameworks, IoT, distributed computing, and information investigations are only a …

Data Mining is an analytic process to explore data in search of consistent patterns and/or
systematic relationships between variables, and then to validate the findings by applying the …