Business applications

Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics.

This book summarizes the results of Design Thinking Research carried out at Stanford University in Palo Alto, California, USA, and Hasso Plattner Institute in Potsdam, Germany.

This volume focuses on innovative approaches and recent developments in clustering, analysis of data and models, and applications: The first part of the book covers a broad range of innovations in the area of clustering, from algorithmic innovations for graph clustering to new visualization and evaluation techniques.

This book shows the patterns of the fuzzy front end of innovation and how it can be managed successfully.

This book presents four mathematical essays which explore the foundations of mathematics and related topics ranging from philosophy and logic to modern computer mathematics.

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Information communication technologies have become the necessity in everyday life enabling increased level of communication, processing and information exchange to extent that one could not imagine only a decade ago.

Since research is best learned by doing, this book emphasizes a hands-on, do-it yourself approach.

With the proliferation of Software-as-a-Service (SaaS) offerings, it is becoming increasingly important for individual SaaS providers to operate their services at a low cost.

This thesis addresses the issue of customer complaints in the context of Customer Relationship Management (CRM).

This book collects the proceedings of the 10th Workshop on Model-Oriented Design and Analysis (mODa).

The systemic view provides a basic approach through which people may advance their understanding of knowledge production in organizations.

This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.

In the history of mathematics there are many situations in which cal- lations were performed incorrectly for important practical applications.

Simulation ist neben Theorie und Experiment die dritte Säule wissenschaftlicher Forschung und technischer Entwicklung.

The goal of this guide and manual is to provide a practical and brief overview of the theory on computerized adaptive testing (CAT) and multistage testing (MST) and to illustrate the methodologies and applications using R open source language and several data examples.

The goal of this book is to gather in a single work the most relevant concepts related in optimization methods, showing how such theories and methods can be addressed using the open source, multi-platform R tool.

This essential guide brings supply chain theory to life.

This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences.

This textbook examines empirical linguistics from a theoretical linguist's perspective.

Unlike the first edition, the new edition has been split into two books.

This book encompasses a systematic exploration of Cybersecurity Data Science (CSDS) as an emerging profession, focusing on current versus idealized practice.

This book examines the extensive changes in markets, technologies and value chains that telecommunication companies are currently confronted with.

Highlighting the latest advances in nonparametric and semiparametric statistics, this book gathers selected peer-reviewed contributions presented at the 4th Conference of the International Society for Nonparametric Statistics (ISNPS), held in Salerno, Italy, on June 11-15, 2018.

Retail is 'going digital,' and grocery shopping is no exception.

This book sheds new light on the current and future challenges faced by cities, and presents approaches, options and solutions enabled by Information and Communication Technologies (ICT) in the smart city context.

This textbook is aimed at computer science undergraduates late in sophomore or early in junior year, supplying a comprehensive background in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine learning.

This monograph uses the Julia language to guide the reader through an exploration of the fundamental concepts of probability and statistics, all with a view of mastering machine learning, data science, and artificial intelligence.

Sentiment analysis research has been started long back and recently it is one of the demanding research topics.

In H2H Marketing the authors focus on redefining the role of marketing by reorienting the mindset of decision-makers and integrating the concepts of Design Thinking, Service-Dominant Logic and Digitalization.

This textbook presents an integrated view of three themes relevant to the operationalization of Management by Business Process (M-B-BP): people, process, and technology.

The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stochastic differential equations driven by Wiener process, Levy processes or fractional Brownian motion, as well as CARMA, COGARCH, and Point processes.

This book is dedicated to population health management and how it can be used to improve the health care and outcomes for patients with poly chronic conditions.

This volume presents extensive research devoted to a broad spectrum of mathematics with emphasis on interdisciplinary aspects of Optimization and Probability.

This book highlights the opportunities and risks of digitalization and digital transformation for our global economy at both the micro and macro level.

This book presents current developments in smart city research and application regarding the management of manufacturing systems, Industry 4.

This book shows latest research on artificial intelligence for sustainable technology.

This new edition includes the latest advances and developments in computational probability involving A Probability Programming Language (APPL).

This proceedings volume presents the latest research from the worldwide mass customization & personalization (MCP) community bringing together new thoughts and results from various disciplines within the field.

Big Data technologies have the potential to revolutionize the agriculture sector, in particular food safety and quality practices.

This book presents SAP Next-Gen, an innovation community for SAP Leonardo.

This book shows how information theory, probability, statistics, mathematics and personal computers can be applied to the exploration of numbers and proportions in music.

This book is inspired by the term "e;digiwine,"e; a neologism referring to the production and/or marketing of wine through the use of new technologies and robotics such as vineyard information systems, sensor units, weather stations, drones, robotic harvesters, social media videos, digital labels, and wine apps.

This book contains the proceedings of two long-running events held along with the CAiSE conference relating to the areas of enterprise, business-process and information systems modeling: * the 22nd International Conference on Business Process Modeling, Development and Support, BPMDS 2021, and * the 26th International Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2021.

This textbook presents methods and techniques for time series analysis and forecasting and shows how to use Python to implement them and solve data science problems.