English | 2021 | ISBN: ‎ 1032058277 , 978-1032058276 | 151 pages | True PDF | 13.07 MB

This book aims to explain Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications, expents 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- 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- analytics.