A comprehensive guide to well-known workflow patterns: recurrent, generic business process constructs, described from the control-flow, data, and resource perspectives. The study of business processes has emerged as a highly effective approach to coordinating an organization's complex service- and knowledge-based activities. The growing field of business process management (BPM) focuses on methods and tools for designing, enacting, and analyzing business processes. This volume offers a definitive guide to the use of patterns, which synthesize the wide range of approaches to modeling business processes. It provides a unique and comprehensive introduction to the well-known workflow patterns collection—recurrent, generic constructs describing common business process modeling and execution scenarios, presented in the form of problem-solution dialectics. The underlying principles of the patterns approach ensure that they are independent of any specific enabling technology, representational formalism, or modeling approach, and thus broadly applicable across the business process modeling and business process technology domains. The authors, drawing on extensive research done by the Workflow Patterns Initiative, offer a detailed introduction to the fundamentals of business process modeling and management; describe three major pattern catalogs, presented from control-flow, data, and resource perspectives; and survey related BPM patterns. The book, a companion to the authoritative Workflow Patterns website, will be an essential resource for both academics and practitioners working in business process modeling and business process management.

A comprehensive guide to well-known workflow patterns: recurrent, generic business process constructs, described from the control-flow, data, and resource perspectives. The study of business processes has emerged as a highly effective approach to coordinating an organization's complex service- and knowledge-based activities. The growing field of business process management (BPM) focuses on methods and tools for designing, enacting, and analyzing business processes. This volume offers a definitive guide to the use of patterns, which synthesize the wide range of approaches to modeling business processes. It provides a unique and comprehensive introduction to the well-known workflow patterns collection—recurrent, generic constructs describing common business process modeling and execution scenarios, presented in the form of problem-solution dialectics. The underlying principles of the patterns approach ensure that they are independent of any specific enabling technology, representational formalism, or modeling approach, and thus broadly applicable across the business process modeling and business process technology domains. The authors, drawing on extensive research done by the Workflow Patterns Initiative, offer a detailed introduction to the fundamentals of business process modeling and management; describe three major pattern catalogs, presented from control-flow, data, and resource perspectives; and survey related BPM patterns. The book, a companion to the authoritative Workflow Patterns website, will be an essential resource for both academics and practitioners working in business process modeling and business process management.

The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice. In this book, you will find detailed explanations of 30 patterns for data and problem representation, operationalization, repeatability, reproducibility, flexibility, explainability, and fairness. Each pattern includes a description of the problem, a variety of potential solutions, and recommendations for choosing the best technique for your situation. You'll learn how to: Identify and mitigate common challenges when training, evaluating, and deploying ML models Represent data for different ML model types, including embeddings, feature crosses, and more Choose the right model type for specific problems Build a robust training loop that uses checkpoints, distribution strategy, and hyperparameter tuning Deploy scalable ML systems that you can retrain and update to reflect new data Interpret model predictions for stakeholders and ensure models are treating users fairly

This volume brings together several perspectives on the nature of work processes in enterprises and how information systems can best support these processes. The genesis of this idea was the shared interests of the authors in how enterprises improve and change. The shared belief is that change of enterprises relates to change of work processes and the success of such changes relates to how work processes are supported by information systems. Thus, the papers in this volume address both the nature of work and the design of information systems to support work. This volume is divided into two main sections: work and workflow, and information systems. There are three papers in each section. The disciplines represented across these six papers include management, engineering, computing, and architecture. These four disciplines pursue work, workflow, and information systems from quite different perspectives - management to represent business practices and processes, engineering to represent the physical flows in the system, computing to represent the information flows, and architecture to represent human flows within and among physical spaces. Enterprises, of course, include all these types of flows.

Cooperation among systems has gained substantial importance in recent years: electronic commerce virtual enterprises and the middleware paradigm are just some examples in this area. CoopIS is a multi-disciplinary conference, which deals with all aspects of cooperation. The relevant disciplines are: collaborative work, distributed databases, distributed computing, electronic commerce, human-computer interaction, multi-agent systems, information retrieval, and workflow systems. The CoopIS series provides a forum for well-known researchers who are drawn by the stature and the tradition of these conference series and has a leading role in shaping the future of the cooperative information systems area. CoopIS 2000 is the seventh conference in the series and the fifth conference organized by the International Foundation on Cooperative Information Systems (IFCIS). It is sponsored by the IFCIS, the IBM Research Laboratory in Haifa and Compaq, Tandem labs Israel. It replaces the former international workshops on Interoperability in Multidatabase systems (IMS) and the conference series on Cooperative Information Systems (CoopIS & ICICIS). In response to the call for papers 74 papers were submitted. Each of them was reviewed by at least three reviewers, and at the end of this process 24 papers were accepted for presentation at the conference. Six additional papers were selected for short presentations. In addition the conference includes two panels, two keynote speakers (Professor Calton Pu from Georgia Tech and Professor Sheizaf Rafaeli from Haifa University) and one tutorial. A special issue of the International Journal of Cooperative Information Systems will follow. August 2000 Opher Etzion & Peter Scheuermann

Business process modelling is referred to as a complex, time consuming, and error prone task. The correction and improvement of badly designed process models becomes increasingly expensive in the later phases of the process management life cycle. This thesis develops the principles of guided process modelling and provides a contribution towards simplifying process modelling activities. The general research question this thesis answers is what are the difficulties in the usage of process modelling tools and which methods, techniques, and tools can guide users in modelling processes to target the existing problems. The question is addressed by following a research methodology of design sciences. Amongst others, it includes a detailed analysis of the research problem, a definition of the objective, the design and development of solutions, and an evaluation of the developed concepts. In summary, the thesis presents innovative concepts to support modellers and provides a step towards end-user enablement in process modelling.