Process Mining Techniques in Business Environments (Record no. 52404)
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fixed length control field | 03553nam a22005415i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-319-17482-2 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20200420221247.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 150506s2015 gw | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783319174822 |
-- | 978-3-319-17482-2 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 006.312 |
100 1# - AUTHOR NAME | |
Author | Burattin, Andrea. |
245 10 - TITLE STATEMENT | |
Title | Process Mining Techniques in Business Environments |
Sub Title | Theoretical Aspects, Algorithms, Techniques and Open Challenges in Process Mining / |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XII, 220 p. 101 illus. |
490 1# - SERIES STATEMENT | |
Series statement | Lecture Notes in Business Information Processing, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | 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. |
520 ## - SUMMARY, ETC. | |
Summary, etc | After a brief presentation of the state of the art of process-mining techniques, Andrea Burratin proposes different scenarios for the deployment of process-mining projects, and in particular a characterization of companies in terms of their process awareness. The approaches proposed in this book belong to two different computational paradigms: first to classic "batch process mining," and second to more recent "online process mining." The book encompasses a revised version of the author's PhD thesis, which won the "Best Process Mining Dissertation Award" in 2014, awarded by the IEEE Task Force on Process Mining. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-319-17482-2 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Cham : |
-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2015. |
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-- | txt |
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-- | computer |
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-- | rdamedia |
338 ## - | |
-- | online resource |
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-- | text file |
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer science. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Management information systems. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Industrial management. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Data mining. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Pattern recognition. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Application software. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer Science. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Data Mining and Knowledge Discovery. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Business Process Management. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer Appl. in Administrative Data Processing. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Pattern Recognition. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 1865-1348 ; |
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