Process mining techniques in business environments : theoretical aspects, algorithms, techniques and open challenges in process mining /: theoretical aspects, algorithms, techniques and open challenges in process mining. (2015)

• Record Type: Book
• Further Information: Note: Andrea Burattin.
• Authors: Burattin, Andrea
• Contents: 1 Introduction -- Part I: State of the Art: BPM, Data Mining and Process Mining -- 2 Introduction to Business Processes, BPM, and BPM Systems -- 3 Data Generated by Information Systems (and How to Get It) -- 4 Data Mining for Information System Data -- 5 Process Mining -- 6 Quality Criteria in Process Mining -- 7 Event Streams -- Part II: Obstacles to Process Mining in Practice -- 8 Obstacles to Applying Process Mining in Practice -- 9 Long-term View Scenario -- Part III: Process Mining as an Emerging Technology -- 10 Data Preparation -- 11 Heuristics Miner for Time Interval -- 12 Automatic Configuration of Mining Algorithm -- 13 User-Guided Discovery of Process Models -- 14 Extensions of Business Processes with Organizational Roles -- 15 Results Interpretation and Evaluation -- 16 Hands-On: Obtaining Test Data -- Part IV: A New Challenge in Process Mining -- 17 Process Mining for Stream Data Sources -- Part V: Conclusions and Future Work -- 18 Conclusions and Future Work.
• Publisher Details: Cham : Springer
• Publication Date: 2015
• Extent: 1 online resource (xii, 220 pages), illustrations
• Subjects: 006.3/12; Computer science; Data mining; Process control -- Data processing; Data mining; Process control -- Data processing; Engineering & Applied Sciences; Computer Science; Computer Science; Data Mining and Knowledge Discovery; Business Process Management; Computer Appl. in Administrative Data Processing; Pattern Recognition; Business & Economics -- Information Management; Computers -- Data Processing; Computers -- Computer Vision & Pattern Recognition; Business mathematics & systems; Public administration; Pattern recognition; Management information systems; Information systems; Optical pattern recognition; Computers -- Database Management -- Data Mining; Data mining; Electronic books
• Languages: English
• ISBNs: 9783319174822; 3319174827; 3319174819; 9783319174815
• Related ISBNs: 9783319174815
• Notes: Note: Includes bibliographical references.; Note: Online resource; title from PDF title page (SpringerLink, viewed May 22, 2015).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.