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Electronics --- Programming --- Computer. Automation --- digitale vormgeving --- data acquisition

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Business policy --- data management --- data mining --- data acquisition

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This book provides a practically applicable guide to the methodologies and technologies for the application of interactive process mining paradigm. Case studies are presented where this paradigm has been successfully applied in emergency medicine, surgery processes, human behavior modelling, strokes and outpatients' services, enabling the reader to develop a deep understanding of how to apply process mining technologies in healthcare to support them in inferring new knowledge from past actions, and providing accurate and personalized knowledge to improve their future clinical decision-making. Interactive Process Mining in Healthcare comprehensively covers how machine learning algorithms can be utilized to create real scientific evidence to improve daily healthcare protocols, and is a valuable resource for a variety of health professionals seeking to develop new methods to improve their clinical decision-making. .

Biomathematics. Biometry. Biostatistics --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- datamining --- bio-informatica --- medische informatica --- data acquisition

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This book describes process mining use cases and business impact along the value chain, from corporate to local applications, representing the state of the art in domain know-how. Providing a set of industrial case studies and best practices, it complements academic publications on the topic. Further the book reveals the challenges and failures in order to offer readers practical insights and guidance on how to avoid the pitfalls and ensure successful operational deployment. The book is divided into three parts: Part I provides an introduction to the topic from fundamental principles to key success factors, and an overview of operational use cases. As a holistic description of process mining in a business environment, this part is particularly useful for readers not yet familiar with the topic. Part II presents detailed use cases written by contributors from a variety of functions and industries. Lastly, Part III provides a brief overview of the future of process mining, both from academic and operational perspectives. Based on a solid academic foundation, process mining has received increasing interest from operational businesses, with many companies already reaping the benefits. As the first book to present an overview of successful industrial applications, it is of particular interest to professionals who want to learn more about the possibilities and opportunities this new technology offers. It is also a valuable resource for researchers looking for empirical results when considering requirements for enhancements and further developments. “If your organization cares about operational performance and has a culture that thrives on transparency, Process Mining is the answer to your prayers. And there is no better source than this book to learn about what Process Mining is, how it's being used in leading companies, and where it might go in the future.” Thomas H. Davenport (Distinguished Professor, Babson College and Research Fellow, MIT Initiative on the Digital Economy); Author of Process Innovation, Competing on Anal “Unlike the traditional plan-execution process improvement, Process Mining allows full transparency of actual processes and activities. Process Mining in Action describes principles, challenges and learnings from years of practice.” Seungjin Whang (Professor of Operations, Information & Technology at Stanford Graduate School of Business) “This is a timely book that presents operational experiences and brings Process Mining application problems to academic research communities. It inspires researchers to further develop frameworks and techniques to tackle broader process analytics challenges over multiple application domains in order to complement the fast growing operational community.” Jianwen Su (Professor of Computer Science at University of California, Santa Barbara) Features and Benefits First book to present an overview of successful industrial experiences of process mining Operational experts describe use cases and business impact along the whole value chain Discusses the challenges, lessons learned and failures in order to provide guidance on how to avoid pitfalls and ensure successful operational deployment.

Methodology of economics --- Business management --- Business economics --- Programming --- Computer architecture. Operating systems --- Information systems --- financieel management --- MIS (management informatie systeem) --- applicatiebeheer --- apps --- gegevensanalyse --- architectuur (informatica) --- data acquisition

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Many important planning decisions in society and business depend on proper knowledge and a correct understanding of movement, be it in transportation, logistics, biology, or the life sciences. Today the widespread use of mobile phones and technologies like GPS and RFID provides an immense amount of data on location and movement.  What is needed are new methods of visualization and algorithmic data analysis that are tightly integrated and complement each other to allow end-users and analysts to extract useful knowledge from these extremely large data volumes. This is exactly the topic of this book. As the authors show, modern visual analytics techniques are ready to tackle the enormous challenges brought about by movement data, and the technology and software needed to exploit them are available today. The authors start by illustrating the different kinds of data available to describe movement, from individual trajectories of single objects to multiple trajectories of many objects, and then proceed to detail a conceptual framework, which provides the basis for a fundamental understanding of movement data. With this basis, they move on to more practical and technical aspects, focusing on how to transform movement data to make it more useful, and on the infrastructure necessary for performing visual analytics in practice. In so doing they demonstrate that visual analytics of movement data can yield exciting insights into the behavior of moving persons and objects, but can also lead to an understanding of the events that transpire when things move. Throughout the book, they use sample applications from various domains and illustrate the examples with graphical depictions of both the interactive displays and the analysis results. In summary, readers will benefit from this detailed description of the state of the art in visual analytics in various ways. Researchers will appreciate the scientific precision involved, software technologists will find essential information on algorithms and systems, and practitioners will profit from readily accessible examples with detailed illustrations for practical purposes.

Mathematical statistics --- Geodesy. Cartography --- Office management --- Computer science --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- Geography --- patroonherkenning --- geodesie --- factoranalyse --- GIS (geografisch informatiesysteem) --- RFID (radio frequentiële identificatie) --- computers --- informatica --- bedrijfsadministratie --- informatiesystemen --- database management --- computerkunde --- data acquisition --- optica