This book offers a practical guide to artificial intelligence (AI) techniques that are used in business. The book does not focus on AI models and algorithms, but instead provides an overview of the most popular and frequently used models in business. This allows the book to easily explain AI...

Künstliche Intelligenz verändert unsere Wirtschaft und Gesellschaft so grundlegend wie kaum eine Innovation zuvor. Dieses Buch soll dabei helfen, die neuen Technologien und Anwendungspotenziale besser zu verstehen und einzuordnen. Neben einer ausführlichen und verständlichen Vermittlung...

Science of Information -- Part I Understanding Big Data -- Big Data Essentials -- Big Data Analytics -- Part II Understanding Big Data Systems -- Distributed File System -- MapReduce Programming Platform -- Part III Understanding Machine Learning -- Modeling and Algorithms -- Supervised Learning...

Part I: Introduction, review and exploratory studies -- 1.1 Introduction: Intelligent Fashion Forecasting -- 1.2 Sales forecasting in Apparel and Fashion Industry: a review -- Collaborative Planning Forecasting Replenishment Schemes in Apparel Supply Chain Systems: Cases and Research...

Algorithmic Enterprise – Big Data und Artificial Intelligence enabled Business -- Einführung: „Algorithmic & AI eat the world“ -- Big Data -- Algorithmic und Artificial Intelligence -- Algorithmic Business: Framework und Maturity Model -- Algorithmic Business – auf dem Weg zum...

Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduces the evolving area of static and dynamic simulation-based optimization. Covered in detail are model-free optimization techniques - especially designed for those discrete-event, stochastic...

Scatter Search -- Experiments Using Scatter Search for the Multidemand Multidimensional Knapsack Problem -- A Scatter Search Heuristic for the Fixed-Charge Capacitated Network Design Problem -- Tabu Search -- Tabu Search-Based Metaheuristic Algorithm for Large-scale Set Covering Problems --...

This book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding. The book is organized in three parts. Part I introduces concepts. Part II describes and demonstrates basic...

This book concentrates on providing technical tools to make the user of Multiple Criteria Decision Making (MCDM) methodologies independent of bulky optimization computations. These bulky computations have been a necessary, but limiting, characteristic of interactive MCDM methodologies and...

The present book describes the methodology to set up agent-based models and to study emerging patterns in complex adaptive systems resulting from multi-agent interaction. It offers the application of agent-based models in demography, social and economic sciences and environmental sciences....