Hadoop is a framework for storing and processing huge volumes of data on clusters. It uses
Hadoop Distributed File System (HDFS) for storing data and uses MapReduce to process …

Sequential pattern mining algorithms extract trendy sequence appearances inside ordered
transactional datasets such as market basket datasets. There is a lack of research …

The development of big data has generated data-intensive tasks that are usually time-
consuming, with a high demand on cloud data centers for hosting big data applications. It …

Abstract Corona Virus Disease 2019 (COVID-19), caused by the Severe Acute Respiratory
Syndrome Coronavirus-2 (SARS-CoV-2) virus, which emerged in late 2019, is now …

Genome sequencing projects are rapidly contributing to the rise of high-dimensional protein
sequence datasets. Extracting features from a high-dimensional protein sequence dataset …

The development of big data has generated data-intensive tasks that are usually
timeconsuming, with a high demand on cloud data centers for hosting big data applications …

Fuzzy c-means (FCM) is an effective clustering algorithm, which has been successfully
applied on many real-world applications. Although, FCM and its improvements have …

Mineral dust aerosol transport in the atmosphere impacts the radiation budget of Earth,
cloud formations, ocean and terrestrial biogeochemical processes, visibility and human …

Abstract The Maximal Independent Set (MIS) problem is a fundamental problem in
theoretical computer science and combinatorial optimization, aiming to find a set of mutually …