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 two-volume set LNCS 4803/4804 constitutes the refereed proceedings of the five confederated international conferences on Cooperative Information Systems (CoopIS 2007), Distributed Objects and Applications (DOA 2007), Ontologies, Databases and Applications of Semantics (ODBASE 2007), Grid computing, high performAnce and Distributed Applications (GADA 2007), and Information Security (IS 2007) held as OTM 2007 in Vilamoura, Portugal, in November 2007. The 95 revised full and 21 revised short papers presented together with 5 keynote talks were carefully reviewed and selected from a total of 362 submissions. Corresponding with the five OTM 2007 main conferences CoopIS, ODBASE, GADA, and DOA, the papers are organized in topical sections on process analysis and semantics, process modeling, P2P, collaboration, business transactions, dependability and security, middleware and web services, aspects and development tools, mobility and distributed algorithms, frameworks, patterns, and testbeds, ontology mapping, semantic querying, ontology development, learning and text mining, annotation and metadata management, ontology applications, data and storage, networks, collaborative grid environment and scientific grid applications, scheduling, middleware, data analysis, scheduling and management, access control and authentication, intrusion detection, system and services security, network security, malicious code and code security, as well as trust and information management.

This book constitutes the refereed proceedings of the Second International Workshop on Data Engineering Issues in E-Commerce and Services, DEECS 2006 held in San Francisco, California, June 2006. The book presents 15 revised full papers and 8 revised short papers organized in topical sections on e-commerce services, business processes and services, data and knowledge engineering, business models and analysis, Web services, and e-commerce systems.

The 7th ACIS International Conference on Software Engineering Research, Management and Applications (SERA 2009) was held on Hainan Island, China from December 2 – 4. SERA ’09 featured excellent theoretical and practical contributions in the areas of formal methods and tools, requirements engineering, software process models, communication systems and networks, software quality and evaluation, software engineering, networks and mobile computing, parallel/distributed computing, software testing, reuse and metrics, database retrieval, computer security, software architectures and modeling. Our conference officers selected the best 17 papers from those papers accepted for presentation at the conference in order to publish them in this volume. The papers were chosen based on review scores submitted by members or the program committee, and underwent further rigorous rounds of review.

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.