Big Data though it is a hype up-springing many technical challenges that confront both academic
research communities and commercial IT deployment, the root sources of Big Data are …

The bat algorithm (BA) is a nature-inspired algo-rithm, which has recently been applied in
many applications. BA can deal with both continuous optimization and discrete optimization …

Data mining is comprised of many data analysis techniques. Its basic objective is to discover
the hidden and useful data pattern from very large set of data. Graph mining, which has …

Data Mining is all about data analysis techniques. It is useful for extracting hidden and
interesting patterns from large datasets. Clustering techniques are important when it comes to …

Cancer is an aggressive disease with a low median survival rate. Ironically, the treatment
process is long and very costly due to its high recurrence and mortality rates. Accurate early …

Most classifiers work well when the class distribution in the response variable of the dataset
is well balanced. Problems arise when the dataset is imbalanced. This paper applied four …

In the advent of the novel coronavirus epidemic since December 2019, governments and
authorities have been struggling to make critical decisions under high uncertainty at their best …

Wireless technology development has increased rapidly due to it's convenience and cost
effectiveness compared to wired applications, particularly considering the advantages offered …

Business optimization is becoming increasingly important because all business activities aim
to maximize the profit and performance of products and services, under limited resources …

Epidemic is a rapid and wide spread of infectious disease threatening many lives and
economy damages. It is important to fore-tell the epidemic lifetime so to decide on timely and …