Guest Editors
Dr. Mohammad Tabrez Quasim, University of Bisha, Saudi Arabia.
Dr. Surbhi Bhatia, King Faisal University, Saudi Arabia.
Dr. Parul Agarwal, Jamia Hamdard, New Delhi-62, India.
Dr. Asadullah Shaikh, Najran University, Saudi Arabia.
Summary
We
are living in an era, where every task of ours is tracked, monitored, and
supported using computing techniques and applications Organizations have always
strived for obtaining maximum profit. But, the advent of techniques like Data
Mining, and Data Analytics has served as a catalyst for intelligent ways of
obtaining insight into the data and benefitting not only the consumer but also
the producer. These also drive business intelligence, knowledge discovery,
problem-solving, and have improved computing efficiency. The changes in the
market are volatile yet predictable owing to the efficiency of computing
techniques. The decision-making process of consumers for a product is
characterized by past purchases and current trends. This overloaded data if
effectively captured and analyzed can be a great insight for any business
organization. Identifying the needs of a customer, strategic planning, and its
implementation from major players. Methods, models, algorithms, and, systems
process data (structured and unstructured), and extract knowledge with an
ultimate goal to support effective decision making.
This
special issue solicits trends and applications of data analytical techniques in
our day-to-day lives. New models/ algorithms that shall enhance a user’s experience
while providing the maximum benefit to the business and their processes are
also welcome.
Keywords
• Data mining
• Data analytics and its applications for predictive modelling
• Recommender systems
• Artificial intelligence
• Data science theories and techniques
• Data visualisation
• Innovation and trends in data analytics
• Next-generation data-driven techniques for business processes
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