Recently, the world is experiencing generating the huge amount of data in different domains.
Data mining and Data analytics and are the practices used for analyzing data and extracting …

In today's big data era, cleaning big data streams has become a challenging task because of
the different formats of big data and the massive amount of big data which is being …

This paper proposes a new approach based on an unsupervised deep learning (DL) model
for landslide detection. Recently, supervised DL models using convolutional neural …

In today's age of big data and information, large-scale group decision-making has become
an essential aspect of modern economy, science, and technology. This paper proposes a …

Monitoring data contain the important status information of the monitored object, and are the
basis for following data mining and analysis. However, the monitoring data usually suffer the …

Research producing evidence-based information on the health benefits of green and blue
spaces often has within its design, the potential for inherent or implicit bias which can …

As numerous new techniques for Android malware attacks have growingly emerged and
evolved, Android malware identification is extremely crucial to prevent mobile applications …

While there are several ways to identify customer behaviors, few extract this value from
information already in a database, much less extract relevant characteristics. This paper …

Following the design science methodology, a recommender system has been created with
the research objective of finding a novel approach to the bundling problem in order to …

Ground segmentation is an important step for any autonomous and remote-controlled
systems. After separating ground and nonground parts, many works such as object tracking …