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.
  

This book aims at researchers and graduate students in data analytics, data sciences, data mining, and signal processing.



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