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:
    non sort: A
    title: Primer on Process Mining
    sub title: Practical Skills with Python and Graphviz
  name:
    name part: Ferreira, Diogo R.
    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: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VIII, 96 p. 37 illus., 15 illus. in color. online resource.
  abstract: The main goal of this book is to explain the core ideas of process mining, and to demonstrate how they can be implemented using just some basic tools that are available to any computer scientist or data scientist. It describes how to analyze event logs in order to discover the behavior of real-world business processes. The end result can often be visualized as a graph, and the book explains how to use Python and Graphviz to render these graphs intuitively. Overall, it enables the reader to implement process mining techniques on his or her own, independently of any specific process mining tool. An introduction to two popular process mining tools, namely Disco and ProM, is also provided. The book will be especially valuable for self-study or as a precursor to a more advanced text. Practitioners and students will be able to follow along on their own, even if they have no prior knowledge of the topic. After reading this book, they will be able to more confidently proceed to the research literature if needed.
  table of contents: Event Logs -- Control-Flow Perspective -- Organizational Perspective -- Performance perspective -- Process Mining in Practice.
  note: by Diogo R. Ferreira.
  subject:
    topic: Business
  subject:
    topic: Management information systems
  subject:
    topic: Industrial management
  subject:
    topic: Application software
  subject:
    topic: Business and Management
  subject:
    topic: Business Process Management
  subject:
    topic: Information Systems Applications (incl. Internet)
  subject:
    topic: Computer Appl. in Administrative Data Processing
  classification: HD30.2
  classification: 658.4038
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Information Systems
  identifier: 9783319564272
  identifier: http://dx.doi.org/10.1007/978-3-319-56427-2
  record info:
    record creation date: 170620
    record change date: 20170620143614.0
    record identifier: 978-3-319-56427-2