Business applications

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.

This book provides an overview of the topics of data, sovereignty, and governance with respect to data and online activities through a legal lens and from a cybersecurity perspective.

This book discusses a variety of methods for outlier ensembles and organizes them by the specific principles with which accuracy improvements are achieved.

This book presents a rich compilation of real-world cases on digitalization, aiming to share first-hand insights from renowned organizations and to make digitalization tangible.

This book discusses the effective use of modern ICT solutions for business needs, including the efficient use of IT resources, decision support systems, business intelligence, data mining and advanced data processing algorithms, as well as the processing of large datasets (inter alia social networking such as Twitter and Facebook, etc.

The authors of this book alert that professional services like law, accountancy, and consultancy firms are set to face major disruption.

This book constitutes the proceedings of the 21st International Conference on Perspectives in Business Informatics Research, BIR 2022, which took place in Rostock, Germany, in September 2022.

As machines are trained to "e;think,"e; many tasks that previously required human intelligence are becoming automated through artificial intelligence.

Now in its second edition, this textbook provides an introduction to Python and its use for statistical data analysis.

This book examines prominent issues in the Emerging Markets (EM) from a variety of disciplines in order to make useful societal contributions through knowledge exchange.

This book presents the main theoretical foundations behind smart services as well as specific guidelines and practically proven methods on how to design them.

This textbook for graduate and advanced undergraduate students presents the theory of matrix algebra for statistical applications, explores various types of matrices encountered in statistics, and covers numerical linear algebra.

Learn how to make the right technical decisions to achieve your organization's business objectives.

Mathematica – kurz und bündig ist eine kompakte Einführung in das in der Mathematik sowie in den Natur- und Ingenieurwissenschaften weitverbreitete Programm Mathematica.

his book grew out of the wish to let students of econometrics get acquainted T with the powerful techniques of computer algebra at an early stage in their curriculum.