"This book aims to present the strategies, technologies, artificial intelligence and data analytics methods used by enterprises for the data analysis and management of business and healthcare information"--

Foreword by Prof. John L. Hennessy (Stanford University, California, USA) and Prof. David A. Patterson (University of California at Berkeley, USA). - Preface . - Introduction. - PART I - An Infl ection Point for Enterprise Applications . - 1 Desirability, Feasibility, Viability - The Impact of...

Vorwörter -- Teil I: Grundlagen und organisatorische Aspekte -- Teil II: Architektur und Technologien -- Teil III: Betriebswirtschaftliche Anwendungen und spezielle Aspekte -- Stichwort- und Autorenverzeichnis.

This book focuses on the analytic principles of business practice and big data. Specifically, it provides an interface between the main disciplines of engineering/technology and the organizational and administrative aspects of management, serving as a complement to books in other disciplines...

This edited volume is brought out from the contributions of the research papers presented in the International Conference on Data Science and Business Analytics (ICDSBA- 2017), which was held during September 23-25 2017 in ChangSha, China. As we all know, the field of data science and business...

"This book provides the information on the machine learning techniques that can be in business problems in efficient way. It encourages the data Scientists to take a proactive attitude toward applying machine learning techniques in business. It increases evolutionary computation awareness in...

"This book presents novel methodologies and practical approaches to engineering, managing, and analyzing large-scale data sets with a focus on enterprise applications and implementation"--Provided by publisher.

"This publication is a key resource on the latest advancements in business applications and the use of mining software solutions to achieve optimal decision-making and risk management results. Highlighting innovative studies on data warehousing, business activity monitoring, and text mining"--

Introduction Mahmoud Abou-Nasr, Stefan Lessmann. Robert Stahlbock, Gary M. Weiss What Data Scientists can Learn from History Aaron Lai On Line Mining of Cyclic Association Rules From Parallel Dimension Hierarchies Eya Ben Ahmed, Ahlem Nabli, Faıez Gargouri PROFIT: A Projected Clustering...

Mit Data-Mining-Methoden stehen dem Personalmanagement innovative Analysemöglichkeiten zur Verfügung, die dem Entscheidungsträger neue und interessante Informationen liefern können. Franca Piazza untersucht auf Basis der Entscheidungstheorie systematisch und umfassend das Einsatzpotenzial...