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: Data Science in Action
  name:
    name part: van der Aalst, Wil.
    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: 2016
    edition: 2nd ed. 2016.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIX, 467 p. 250 illus., 13 illus. in color. online resource.
  abstract: This is the second edition of Wil van der Aalst’s seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. It includes several additions and updates, e.g. on inductive mining techniques, the notion of alignments, a considerably expanded section on software tools and a completely new chapter of process mining in the large. It is self-contained, while at the same time covering the entire process-mining spectrum from process discovery to predictive analytics. After a general introduction to data science and process mining in Part I, Part II provides the basics of business process modeling and data mining necessary to understand the remainder of the book. Next, Part III focuses on process discovery as the most important process mining task, while Part IV moves beyond discovering the control flow of processes, highlighting conformance checking, and organizational and time perspectives. Part V offers a guide to successfully applying process mining in practice, including an introduction to the widely used open-source tool ProM and several commercial products. Lastly, Part VI 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 -- Preliminaries -- From Event Logs to Process Models -- Beyond Process Discovery -- Putting Process Mining to Work -- Reflection -- Epilogue.
  note: by Wil 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: 9783662498514
  identifier: http://dx.doi.org/10.1007/978-3-662-49851-4
  record info:
    record creation date: 160415
    record change date: 20160415151905.0
    record identifier: 978-3-662-49851-4