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MARC状态:待编 文献类型:电子图书 浏览次数:30

题名/责任者:
Data-Driven Process Discovery and Analysis Third IFIP WG 2.6, 2.12 International Symposium, SIMPDA 2013, Riva del Garda, Italy, August 30, 2013, Revised Selected Papers / edited by Paolo Ceravolo, Rafael Accorsi, Philippe Cudre-Mauroux.
版本说明:
1st ed. 2015.
出版发行项:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
ISBN:
9783662464366
其它标准号:
10.1007/978-3-662-46436-6
载体形态项:
IX, 135 p. 56 illus. online resource.
主文献:
Springer Nature eBook
其他载体形态:
Printed edition: 9783662464373
其他载体形态:
Printed edition: 9783662464359
丛编说明:
Lecture Notes in Business Information Processing, 1865-1348 ; 203
丛编统一题名:
Lecture Notes in Business Information Processing, 203
附加个人名称:
Ceravolo, Paolo. editor.
附加个人名称:
Accorsi, Rafael. editor.
附加个人名称:
Cudre-Mauroux, Philippe. editor.
附加团体名称:
SpringerLink (Online service)
论题主题:
Data mining.
论题主题:
Management information systems.
论题主题:
Industrial management.
论题主题:
Application software.
论题主题:
Data Mining and Knowledge Discovery.
论题主题:
Business Process Management.
论题主题:
Information Systems Applications (incl. Internet).
论题主题:
Computer Appl. in Administrative Data Processing.
内容附注:
The Effect of Noise on Mined Declarative Constraints -- Towards Collecting Sustainability Data in Supply Chains with Flexible Data Collection Processes -- Handling Environment for Publicly Posted Composite Documents -- Enabling Non-expert Users to Apply Data Mining for Bridging the Big Data Divide -- Combining Semantic Lifting and Ad-hoc Contextual Analysis in a Data Loss Scenario -- Comparative Process Mining in Education: An Approach Based on Process Cubes.
摘要附注:
This book constitutes the thoroughly refereed proceedings of the Third International Symposium on Data-Driven Process Discovery and Analysis held in Riva del Garda, Italy, in August 2013. The six revised full papers were carefully selected from 18 submissions. Following the event, authors were given the opportunity to improve their papers with the insights they gained from the symposium. The selected papers cover theoretical issues related to process representation, discovery and analysis or provide practical and operational experiences in process discovery and analysis.
电子资源:
https://doi.org/10.1007/978-3-662-46436-6
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