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This book aims to explain Data Analytics towards decision making in
terms of models and algorithms, theoretical concepts, applications,
experiments in relevant domains or focused on specific issues. It
explores the concepts of database technology, machine learning,
knowledge-based system, high performance computing, information
retrieval, finding patterns hidden in large datasets and data
visualization. Also, it presents various paradigms including
pattern mining, clustering, classification, and data analysis.
Overall aim is to provide technical solutions in the field of data
analytics and data mining. Features: Covers descriptive statistics
with respect to predictive analytics and business analytics.
Discusses different data analytics platforms for real-time
applications. Explain SMART business models. Includes algorithms in
data sciences alongwith automated methods and models. Explores
varied challenges encountered by researchers and businesses in the
realm of real-time analytics. This book aims at researchers and
graduate students in data analytics, data sciences, data mining,
and signal processing.
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