國立虎尾科技大學 |

Data-Driven Process Discovery and Analysis = 7th IFIP WG 2.6 International Symposium, SIMPDA 2017, Neuchatel, Switzerland, December 6-8, 2017, Revised Selected Papers /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Data-Driven Process Discovery and Analysis/ edited by Paolo Ceravolo, Maurice van Keulen, Kilian Stoffel.
其他題名:	7th IFIP WG 2.6 International Symposium, SIMPDA 2017, Neuchatel, Switzerland, December 6-8, 2017, Revised Selected Papers /
其他作者:	Ceravolo, Paolo.
面頁冊數:	IX, 129 p. 70 illus., 20 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Data mining. -
電子資源:	https://doi.org/10.1007/978-3-030-11638-5
ISBN:	9783030116385

Data-Driven Process Discovery and Analysis = 7th IFIP WG 2.6 International Symposium, SIMPDA 2017, Neuchatel, Switzerland, December 6-8, 2017, Revised Selected Papers /
Data-Driven Process Discovery and Analysis7th IFIP WG 2.6 International Symposium, SIMPDA 2017, Neuchatel, Switzerland, December 6-8, 2017, Revised Selected Papers /[electronic resource] :edited by Paolo Ceravolo, Maurice van Keulen, Kilian Stoffel. - 1st ed. 2019. - IX, 129 p. 70 illus., 20 illus. in color.online resource. - Lecture Notes in Business Information Processing,3401865-1348 ;. - Lecture Notes in Business Information Processing,206.

Online Detection of Operator Errors In Cloud Computing Using Anti-Patterns -- Executing Lifecycle Processes in Object-aware Process Management -- Towards semantic process mining through knowledge-based trace abstraction -- Mining Local Process Models and their Correlations -- A linear temporal logic model checking method over finite words with correlated transition attributes -- A Report-driven Approach to design Multidimensional Models. .

This book constitutes the revised selected papers from the 7th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2017, held in Neuchatel, Switzerland, in December 2017. The 6 papers presented in this volume were carefully reviewed and selected from 19 submissions. They cover theoretical issues related to process representation, discovery, and analysis or provide practical and operational examples of their application.

ISBN: 9783030116385

Standard No.: 10.1007/978-3-030-11638-5doiSubjects--Topical Terms:

528622
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Data-Driven Process Discovery and Analysis = 7th IFIP WG 2.6 International Symposium, SIMPDA 2017, Neuchatel, Switzerland, December 6-8, 2017, Revised Selected Papers /
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