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.
- 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.
Chapter 1: Securing big data using big data mining
Dr.Preety, Dagjit Singh Dhatterwal and Kuldeep Kaswan
Chapter 2: Analytical Theory: Frequent Pattern Mining
Ovais Bashir Gashroo and Monica Mehrotra
Chapter 3: A Journey from Big Data To Data Mining In Quality Improvement
Dr. Sharad Goel and Prerna Bhatnagar
Chapter 4: Significance Of Data Mining In The Domain Of Intrusion Detection
Dr Ravi Kumar Sharma, Dr Tejinder Pal Singh Brar, Dr Parul Gandhi and Dr Pradeep Kumar Bhatia
Chapter 5: Data Analytics and Mining: Platforms for Real-Time Applications
Saima Saleem and Monica Mehrotra
Chapter 6: Analysis of Government Policies to Control Pandemic and its affects on Climate Change to improve Decision Making
Vaibhav Saini and Kapal Dev
Chapter 7: Data Analytics and Data Mining strategy to improve Quality, Performance and decision making
D. Sheema and Dr. K Ramesh
Chapter 8: SMART Business Model -An analytical approach to astute Data Mining for Successful Organization
Dr. Sharad Goel and Dr.Sonal Kapoor
Chapter 9: AI and Healthcare: Praiseworthy aspects and Shortcomings
Ashay Singh and Ankur Singh Bist