"Business Processes Analysis with Resource-Aware Machine Learning Scheduling in Rewriting Logic"

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Book	Author(s)	Year	Publisher
Obstructions in Security-Aware Business Processes: Analysis, Detection, and Handling	Julius Holderer	1st ed. 2022	Springer Fachmedien Wiesbaden
Intelligent scheduling with machine learning capabilities: the induction of scheduling knowledge	Michael Shaw	1990	College of Commerce and Business Administration, University of Illinois at Urbana-Champaign
Gaussian Processes for Machine Learning	Carl Edward Rasmussen; Christopher K. I. Williams	2005	MIT Press
Gaussian processes for machine learning	Carl Edward Rasmussen	2006	MIT Press
Gaussian Processes for Machine Learning	Carl Edward Rasmussen; Christopher K. I. Williams	2005	MIT Press,
Behavior Analysis with Machine Learning Using R	Enrique Garcia Ceja	2021	Routledge
Hardware-Aware Probabilistic Machine Learning Models: Learning, Inference and Use Cases	Laura Isabel Galindez Olascoaga; Wannes Meert; Marian Verhelst	1st ed. 2021	Springer International Publishing
Energy-aware Scheduling on Multiprocessor Platforms	Dawei Li; Jie Wu	2013	Springer New York
Automated Machine Learning for Business	Kai R. Larsen; Daniel S. Becker	2021	Oxford University Press
Automated Machine Learning for Business	Kai R. Larsen, Daniel S. Becker	2021	Oxford University Press
Machine Learning in Document Analysis and Recognition	Simone Marinai; Hiromichi Fujisawa	2008	Springer Berlin Heidelberg
Machine Learning in Python: for Predictive Analysis	Michael Bowles	2015	John Wiley & Sons
Advances in Machine Learning and Data Analysis	Mahyar Amouzegar	2010	Springer Netherlands
Introduction to Machine Learning with R: Rigorous Mathematical Analysis	Scott V. Burger	2018	O'Reilly UK Ltd.
Introduction to machine learning with R: rigorous mathematical analysis	Burger, Scott V	2018	O'Reilly Media, Inc.
Introduction to Machine Learning with R. Rigorous Mathematical Analysis	Scott V. Burger	2018	O’Reilly
Machine Learning with R	Abhijit Ghatak	1st ed. 2017	Springer Nature Singapore
Machine Learning with TensorFlow	Chris A. Mattmann	2021	Manning Publications
Machine Learning with AWS	Jeffrey Jackovich, Ruze Richards	2018	Packt Publishing
Scheduling with restricted machine availability and due date	Surya Danusaputro Liman	1991
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Showing 1 to 20 of 100 entries

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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Business Processes Analysis with Resource-Aware Machine Learning Scheduling in Rewriting Logic	Francisco Durán; Daniela Martínez; Camilo Rocha	Rewriting Logic and Its Applications: 14th International Workshop, WRLA 2022, Munich, Germany, April 2–3, 2022, Revised Selected Papers	Kyungmin Bae	1st ed. 2022	Springer International Publishing
Resource-Aware Scheduling		Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood	Supun Kamburugamuve, Saliya Ekanayake	2021	Wiley
Obstacle-Aware Resource Allocation in Business Processes	Farah Bellaaj; Mohamed Sellami; Sami Bhiri; Zakaria Maamar	Business Information Systems: 20th International Conference, BIS 2017, Poznan, Poland, June 28–30, 2017, Proceedings	Witold Abramowicz	1st ed. 2017	Springer International Publishing
Designing Business Processes with History-Aware Resource Assignments	Cristina Cabanillas; Manuel Resinas; Antonio Ruiz-Cortés	Business Process Management Workshops: BPM 2012 International Workshops, Tallinn, Estonia, September 3, 2012, Revised Papers	Marcello La Rosa; Pnina Soffer	2013	Springer Berlin Heidelberg
441 Machine Learning in Business Processes		Computational Intelligence in Robotics and Automation	S.S. Nandhini, M. Karthiga, S. B. Goyal	2022	CRC Press
Resource-Aware Optimal Scheduling of In Situ Analysis	Preeti Malakar; Venkatram Vishwanath; Christopher Knight; Todd Munson; Michael E. Papka	In Situ Visualization for Computational Science	Hank Childs; Janine C. Bennett; Christoph Garth	1st ed. 2022	Springer International Publishing
Toward Energy-Aware Scheduling Using Machine Learning		Energy-Efficient Distributed Computing Systems	Albert Y. Zomaya; Young Choon Lee	2012	Wiley-IEEE Press
Intelligent Scheduling with Machine Learning	Sang C. Park; Selwyn Piramuthu; Narayan Raman; Michael J. Shaw	Intelligent Scheduling Systems	Donald E. Brown; William T. Scherer	1995	Springer US
Timed rewriting logic in rewriting logic		Theoretical Computer Science, Volume 285, Issue 2, Pages 119-564 (28 August 2002), Rewriting Logic and its Applications	N. Marti-Oliet, J. Mesegue (eds.)
Learning in Stochastic Machine Scheduling	Sebastián Marbán; Cyriel Rutten; Tjark Vredeveld	Approximation and Online Algorithms: 9th International Workshop, WAOA 2011, Saarbrücken, Germany, September 8-9, 2011, Revised Selected Papers	Roberto Solis-Oba; Giuseppe Persiano	2012	Springer Berlin Heidelberg
One-machine scheduling problems with resource constraints	Adam Janiak	System Modelling and Optimization: Proceedings of the 12th IFIP Conference, Budapest, Hungary, September 2–6, 1985	A. Prekopa; J. Szelezsan; B. Strazicky	1986	Springer Berlin Heidelberg
Resource-Aware Duplication-Minimization Scheduling Algorithm	Kenli Li; Xiaoyong Tang; Jing Mei; Longxin Zhang; Wangdong Yang; Keqin Li	Workflow Scheduling on Computing Systems	Kenli Li; Xiaoyong Tang; Jing Mei; Longxin Zhang; Wangdong Yang; Keqin Li	2022	Routledge
Latency Aware Resource Scheduling and Queuing	Sharmila S. Patil; S. H. Brahmananda	Ubiquitous Intelligent Systems: Proceedings of ICUIS 2021	P. Karuppusamy; Isidoros Perikos; Fausto Pedro García Márquez	1st ed. 2022	Springer Nature Singapore
Business Process Scheduling with Resource Availability Constraints	Jiajie Xu; Chengfei Liu; Xiaohui Zhao; Sira Yongchareon	On the Move to Meaningful Internet Systems, OTM 2010: Confederated International Conferences: CoopIS, IS, DOA and ODBASE, Hersonissos, Greece, October 25-29, 2010, Proceedings, Part I	Tharam Dillon; Pilar Herrero	2010	Springer Berlin Heidelberg
Energy-Aware Resource Scheduling with Fault-Tolerance in Edge Computing	Yanfen Xue; Guisheng Fan; Huiqun Yu; Huaiying Sun	Network and Parallel Computing: 16th IFIP WG 10. 3 International Conference, NPC 2019, Hohhot, China, August 23–24, 2019, Proceedings	Xiaoxin Tang; Quan Chen; Pradip Bose; Weiming Zheng; Jean-Luc Gaudiot	1st ed. 2019	Springer International Publishing
Data- and Resource-Aware Conformance Checking of Business Processes	Massimiliano de Leoni; Wil M. P. van der Aalst; Boudewijn F. van Dongen	Business Information Systems: 15th International Conference, BIS 2012, Vilnius, Lithuania, May 21-23, 2012, Proceedings	Witold Abramowicz; Dalia Kriksciuniene; Virgilijus Sakalauskas	2012	Springer Berlin Heidelberg
Scheduling Business Process Activities for Time-Aware Cloud Resource Allocation	Rania Ben Halima; Slim Kallel; Walid Gaaloul; Mohamed Jmaiel	On the Move to Meaningful Internet Systems. OTM 2018 Conferences: Confederated International Conferences: CoopIS, C& TC, and ODBASE 2018, Valletta, Malta, October 22-26, 2018, Proceedings, Part I	Hervé Panetto; Christophe Debruyne; Henderik A. Proper; Claudio Agostino Ardagna; Dumitru Roman; Robert Meersman	1st ed. 2018	Springer International Publishing
Amortised Resource Analysis with Separation Logic	Robert Atkey	Programming Languages and Systems: 19th European Symposium on Programming, ESOP 2010, Held as Part of the Joint European Conferences on Theory and Practice of Software, ETAPS 2010, Paphos, Cyprus, March 20-28, 2010. Proceedings	Andrew D. Gordon	2010	Springer Berlin Heidelberg
An Analysis of Resource-Aware Adaptive Scheduling for HPC Clusters with Hadoop	S. Rashmi; Anirban Basu	Big Data Analytics: Proceedings of CSI 2015	V. B. Aggarwal; Vasudha Bhatnagar; Durgesh Kumar Mishra	1st ed. 2018	Springer Nature Singapore
Authorship Analysis with Machine Learning	Waqas Ahmed; Abdul Rehman Javed; Zunera Jalil; Farkhund Iqbal	Encyclopedia of Machine Learning and Data Science	Dinh Phung; Geoffrey I. Webb; Claude Sammut	0th ed. 2020	Springer US
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Showing 1 to 20 of 100 entries

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