The aim of this study is to analyze success in e-learning with data mining methods and find out potential patterns. In this context, 374.073 data of 2013-14 period taken from an institution serving in e-learning field in Turkey are used. Data set, which is collected from information technology,...

This article describes how in IoT, data management is a major issue because of communication among billions of electronic devices, which generate the huge dataset. Due to the unavailability of any standard, data analysis on such a large amount of data is a complex task. There should be a...

Advertising Targeting -- Algorithm -- Algorithmic Accountability -- American Bar Association -- American Civil Liberties Union -- American Library Association -- Animals -- Anonymity -- Anonymization techniques -- Anthropology -- Apple -- Archaeology -- Arts -- Asian Americans Advancing Justice...

"This book presents the most recent challenges and developments in 'machine learning in data analytics and forensics for cognitive social mining' from the perspective of providing awareness and its best practices for the real world"--

This book presents both theory of financial data analytics, as well as comprehensive insights into the application of financial data analytics techniques in real financial world situations. It offers solutions on how to logically analyze the enormous amount of structured and unstructured data...

"This book is a refreshingly practical yet theoretically sound roadmap to leveraging data analytics and data science. The vast amount of data generated about us and our world is useless without plans and strategies that are designed to cope with its size and complexity, and which enable...

Preface -- 1 Ranking -- 2 Online Learning -- 3 Recommendation Systems -- 4 Classification -- 5 Clustering -- 6 Linear Regression -- 7 Sparse Recovery -- 8 Neural Networks -- 9 Decision Trees -- 10 Solutions.