Challenges and Applications of Data Analytics in Social Perspectives

Data analytics becomes especially revealing when it meets the complicated settings of everyday life: social networks, healthcare, business, agriculture, and public services. Challenges and Applications of Data Analytics in Social Perspectives brings together research on these intersections, examining both the methods being used and the practical problems they are meant to address.

Edited by V. Sathiyamoorthi and Atilla Elçi, this multi-chapter volume moves across a notably broad landscape of applications. It is a research-focused look at how data mining, machine learning, and deep learning can help make sense of large, varied datasets.

Analytics across real-world settings

The chapters consider professional networks and career development, disease prediction, crime-report analysis using Python, and forecasting in the Indian stock market. Other contributions turn to emerging areas of analytics, agricultural data, soil monitoring with IoT, biofeedback and mental-health software, and analysis of social-media content.

From social platforms to practical systems

Several chapters focus on the ways data-driven systems shape digital services and decisions. The collection includes work on e-commerce recommender systems, language recognition from audio, business analytics, and patient monitoring using the Internet of Things. Read together, these topics offer a cross-disciplinary view of analytics—not just as a set of techniques, but as a toolkit applied to very different human and organizational needs.

A research-oriented collection

Rather than following one method or industry, the book gathers distinct studies and surveys in a single volume. Readers can compare how analytical approaches are adapted across fields, and explore questions involving prediction, classification, monitoring, and interpretation of data.

This volume will be of interest to data analysts, IT and software professionals, researchers, academics, and students looking for applied research on data analytics and its social perspectives.