00000cmm a22000004a 4500 UP-99796217611154581 Buklod 20140305083826.0 m go j cr |n |||auu|a 110404s2011 xx u | eng d 9783642193453 (eBook) 3642193455 (eBook) (iLib)UPD-00214604408 DML eng DMLUC HD 62.17 A25 2011eb Aalst, Wil M. P. van der Process mining [electronic resource] discovery, conformance and enhancement of business processes by Wil M. P. van der Aalst. Berlin, Heidelberg Springer 2011. 1 online resource (XVI, 352p.) ill. Introduction -- Process Modeling and Analysis -- Data Mining -- Getting the Data -- Process Discovery: An Introduction -- Advanced Process Discovery Techniques -- Conformance Checking -- Mining Additional Perspectives -- Operational Support -- Tool Support -- Analyzing Lasagna Processes -- Analyzing Spaghetti Processes -- Cartography and Navigation -- Epilogue. IP-based subscription, access limited to within on campus computer network. Access via Electronic Resources of the UPD University Library Website. More and more information about business processes is recorded by information systems in the form of so-called event logs. Despite the omnipresence of such data, most organizations diagnose problems based on fiction rather than facts. Process mining is an emerging discipline based on process model-driven approaches and data mining. It not only allows organizations to fully benefit from the information stored in their systems, but it can also be used to check the conformance of processes, detect bottlenecks, and predict execution problems. Wil van der Aalst delivers the first book on process mining. It aims to be self-contained while covering the entire process mining spectrum from process discovery to operational support. In Part I, the author provides the basics of business process modeling and data mining necessary to understand the remainder of the book. Part II focuses on process discovery as the most important process mining task. Part III moves beyond discovering the control flow of processes and highlights conformance checking, and organizational and time perspectives. Part IV guides the reader in successfully applying process mining in practice, including an introduction to the widely used open-source tool ProM. Finally, Part V takes a step back, reflecting on the material presented and the key open challenges. Overall, this book provides a comprehensive overview of the state of the art in process mining. It is intended for business process analysts, business consultants, process managers, graduate students, and BPM researchers. Electronic reproduction. New York SpringerLink 2011. Available via World Wide Web through SpringerLink. Workflow Management. Management Data processing. Data mining. Electronic books. SpringerLink (Online service). Available for University of the Philippines Diliman via SpringerLink. Click here to access http://link.springer.com/book/10.1007/978-3-642-19345-3 FO Monograph UPD DMLR Electronic Resource