Data driven decision making using analytics /
Data driven decision making using analytics /
edited by Parul Gandhi, Surbhi Bhatia, Kapal Dev.
- First edition.
- 1 online resource
"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"--
9781003199403 1003199402 9781000506495 1000506495 9781000506433 1000506436
Decision making.
Big data.
COMPUTERS / Database Management / Data Mining
COMPUTERS / Programming / Systems Analysis & Design
TECHNOLOGY / Electricity
T57.95
658.4/03
"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"--
9781003199403 1003199402 9781000506495 1000506495 9781000506433 1000506436
Decision making.
Big data.
COMPUTERS / Database Management / Data Mining
COMPUTERS / Programming / Systems Analysis & Design
TECHNOLOGY / Electricity
T57.95
658.4/03