rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Process Mining
    sub title: Discovery, Conformance and Enhancement of Business Processes
  name:
    name part: van der Aalst, Wil M. P.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2011
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 352 p. online resource.
  abstract: 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.
  table of contents: 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.-.
  note: by Wil M. P. van der Aalst.
  subject:
    topic: Computer science
  subject:
    topic: Information technology
  subject:
    topic: Business
    topic: Data processing
  subject:
    topic: Software engineering
  subject:
    topic: Computer logic
  subject:
    topic: Information storage and retrieval
  subject:
    topic: Application software
  subject:
    topic: Computer Science
  subject:
    topic: Information Systems Applications (incl. Internet)
  subject:
    topic: Information Storage and Retrieval
  subject:
    topic: IT in Business
  subject:
    topic: Software Engineering
  subject:
    topic: Logics and Meanings of Programs
  subject:
    topic: Computer Appl. in Administrative Data Processing
  classification: QA76.76.A65
  classification: 005.7
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783642193453
  identifier: http://dx.doi.org/10.1007/978-3-642-19345-3
  record info:
    record creation date: 110404
    record change date: 20151204170122.0
    record identifier: 978-3-642-19345-3