Recent Trends in Data Mining and Business Forecasting

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About Us

It is a peer-reviewed, biannual journal dedicated to publishing rigorous, high-quality research at the intersection of data mining, forecasting, and business analytics. Published by MAT Journals Pvt. Ltd., the journal offers a dynamic platform for researchers, academicians, industry practitioners, and policy-oriented scholars to share innovative methodologies, empirical studies, and conceptual frameworks that advance understanding of economic conditions, forecasting methods, and data-driven decision making across domains such as financial forecasting, graph mining, web and multimedia data mining, e-forecasting, and marketing intelligence.

Aim and Scope

It aims to publish high-quality research articles, review papers, and case studies that explore the theories, methodologies, and practical applications of data mining and forecasting in modern business environments. The journal encourages interdisciplinary research and highlights advancements in areas such as predictive analytics, machine learning, time-series forecasting, web and multimedia data mining, financial and economic forecasting, and intelligent decision-support systems.

Focus and Scope

Data Mining and Business Forecasting Predictive Analytics Machine Learning Techniques Time-Series Forecasting Web Mining and Graph Mining Multimedia Data Mining Big Data Analytics Decision Support Systems Business Intelligence