Big Data Analytics Using Artificial Intelligence

Dear Colleagues,

Big data analytics is one high-priority focus of data science, and there is no doubt that big data are now quickly growing in all science and engineering fields. Big data analytics is the process of examining and analyzing massive and varied data that can help organizations make more informed business decisions, especially for uncovered hidden patterns, unknown correlations, market trends, customer preferences, and other useful information. Big data have become essential, as numerous organizations deal with massive amounts of specific information, which can contain useful information about problems such as national intelligence, cybersecurity, biology, fraud detection, marketing, astronomy, and medical informatics. Several promising artificial intelligence techniques can be used for big data analytics, including representation learning, optimization methods, heuristics, machine learning, deep learning, artificial neural networks, the Markov decision process, support vector machines, natural language processing, machine vision, data mining, distributed and parallel learning, transfer learning, active learning, and kernel-based learning. In addition, big data analytics demands new and sophisticated algorithms based on Artificial Intelligence techniques to treat data in real time with high accuracy and productivity, such as in association rule learning, classification tree analysis, genetic algorithms, machine learning, regression analysis, forecasting analysis, sentiment analysis, and social network analysis. Research using the common big data tools is interesting; Xplenty, Adverity, Apache Hadoop, CDH (Cloudera Distribution for Hadoop), Cassandra, Knime, Datawrapper, MongoDB, Lumify, HPCC, Storm, Apache SAMOA, Talend, Rapidminer, Qubole, Tableau, and R. The goal of this Special Issue is to discuss several critical issues related to learning from massive amounts of data and highlight current research endeavors and the challenges to big data, as well as shared recent advances in this research area. We solicit new contributions that have a strong emphasis on Artificial Intelligence for Big Data Analytics.

Prof. Dr. Amir H. Gandomi
Prof. Dr. Fang Chen
Dr. Laith Abualigah
Guest Editors

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