• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 887 matches

• 2021
• 
  Bin Wu, Sakriani Sakti, Jinsong Zhang, Satoshi Nakamura:
  Tackling Perception Bias in Unsupervised Phoneme Discovery Using DPGMM-RNN Hybrid Model and Functional Load. IEEE ACM Trans. Audio Speech Lang. Process. 29: 348-362 (2021)
• 
  Aicha Khannat, Hanae Sbaï, Laila Kjiri:
  Event Logs Pre-processing for Configurable Process Discovery: Ontology-Based Approach. CIST 2021: 139-144
• 
  Dirk Fahland, Luise Pufahl, Agnes Koschmider:
  Automatische Prozessaufnahme mit Process Discovery. Prozessmanagement und Process-Mining - Grundlagen 2021: 235-268-
• 
  Vineeth Venugopal, Sourav Sahoo, Mohd Zaki, Manish Agarwal, Nitya Nand Gosvami, N. M. Anoop Krishnan:
  Looking Through Glass: Knowledge Discovery from Materials Science Literature using Natural Language Processing. CoRR abs/2101.01508 (2021)
• 
  Manuel Camargo, Marlon Dumas, Oscar González Rojas:
  Learning Accurate Business Process Simulation Models from Event Logs via Automated Process Discovery and Deep Learning. CoRR abs/2103.11944 (2021)
• 
  Sylvio Barbon Jr., Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares:
  Using Meta-learning to Recommend Process Discovery Methods. CoRR abs/2103.12874 (2021)
• 2020
• 
  Ahmed BaniMustafa, Nigel Hardy:
  A Scientific Knowledge Discovery and Data Mining Process Model for Metabolomics. IEEE Access 8: 209964-210005 (2020)
• 
  Fakeeha Fatima, Ramzan Talib, Muhammad Kashif Hanif, Muhammad Awais:
  A Paradigm-Shifting From Domain-Driven Data Mining Frameworks to Process-Based Domain-Driven Data Mining-Actionable Knowledge Discovery Framework. IEEE Access 8: 210763-210774 (2020)
• 
  Junhao Chen, Xiaoliang Jia:
  An approach for assembly process case discovery using multimedia information source. Comput. Ind. 115: 103176 (2020)
• 
  Si-Yuan Jing:
  Set-Based Differential Evolution Algorithm Based on Guided Local Exploration for Automated Process Discovery. Complex. 2020: 4240584:1-4240584:19 (2020)
• 
  Mohammadreza Fani Sani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
  Improving the performance of process discovery algorithms by instance selection. Comput. Sci. Inf. Syst. 17(3): 927-958 (2020)
• 
  Manuel Camargo, Marlon Dumas, Oscar González:
  Automated discovery of business process simulation models from event logs. Decis. Support Syst. 134: 113284 (2020)
• 
  Budan Wu, Ran Liu, Rongheng Lin, Junliang Chen:
  A distributed business process fragmentation method based on community discovery. Future Gener. Comput. Syst. 108: 372-389 (2020)
• 
  Ying Huang, Liyun Zhong, Yan Chen:
  Filtering Infrequent Behavior in Business Process Discovery by Using the Minimum Expectation. Int. J. Cogn. Informatics Nat. Intell. 14(2): 1-15 (2020)
• 
  Ruo Hu, Ming Li, Hong Xu, Huimin Zhao:
  Research and Application of Key Technologies for Medical Image Intelligence Knowledge Discovery and Data Processing. Int. J. Pattern Recognit. Artif. Intell. 34(11): 2057005:1-2057005:21 (2020)
• 
  Suzanne Dumouchel, Emilie Blotière, Gert Breitfuss, Yin Chen, Francesca Di Donato, Maria Eskevich, Paula Forbes, Haris Georgiadis, Arnaud Gingold, Elisa Gorgaini, Yoann Moranville, Stefanie Pohle, Stefano De Paoli, Clara Petitfils, Erzsebet Toth-Czifra:
  GOTRIPLE: A User-Centric Process to Develop a Discovery Platform. Inf. 11(12): 563 (2020)
• 
  Marco Cameranesi, Claudia Diamantini, Alex Mircoli, Domenico Potena, Emanuele Storti:
  Extraction of User Daily Behavior From Home Sensors Through Process Discovery. IEEE Internet Things J. 7(9): 8440-8450 (2020)
• 
  Dorit S. Hochbaum, Xu Rao:
  Approximation algorithms for connected maximum coverage problem for the discovery of mutated driver pathways in cancer. Inf. Process. Lett. 158: 105940 (2020)
• 
  Abeer Khan, Lukasz Golab, Mehdi Kargar, Jaroslaw Szlichta, Morteza Zihayat:
  Compact group discovery in attributed graphs and social networks. Inf. Process. Manag. 57(2): 102054 (2020)
• 
  Xi Xiong, Fei Xiong, Jun Zhao, Shaojie Qiao, Yuanyuan Li, Ying Zhao:
  Dynamic discovery of favorite locations in spatio-temporal social networks. Inf. Process. Manag. 57(6): 102337 (2020)
• 
  Volodymyr Leno, Marlon Dumas, Fabrizio Maria Maggi, Marcello La Rosa, Artem Polyvyanyy:
  Automated discovery of declarative process models with correlated data conditions. Inf. Syst. 89: 101482 (2020)
• 
  Shengjun Meng, Chudong Tong, Ting Lan, Haizhen Yu:
  Canonical correlation analysis-based explicit relation discovery for statistical process monitoring. J. Frankl. Inst. 357(8): 5004-5018 (2020)
• 
  Kazunari Irie, Hideaki Goto:
  Automatic Roaming Consortium Discovery and Routing for Inter-federation Wireless LAN Roaming System. J. Inf. Process. 28: 378-386 (2020)
• 
  Yongyi Xian, Yan Liu, Chuanfei Xu, Sameh Elnikety, Elie Neghawi:
  Parallel Discovery of Trajectory Companion Pattern and System Evaluation. J. Inf. Process. 28: 538-550 (2020)
• 
  Tijs Slaats:
  Declarative and Hybrid Process Discovery: Recent Advances and Open Challenges. J. Data Semant. 9(1): 3-20 (2020)
• 
  Hansi Zhang, Yi Guo, Mattia C. F. Prosperi, Jiang Bian:
  An ontology-based documentation of data discovery and integration process in cancer outcomes research. BMC Medical Informatics Decis. Mak. 20-S(4): 292 (2020)
• 
  Shuangqing Xiang, Huibiao Zhu, Xi Wu, Lili Xiao, Marcello M. Bonsangue, Wanling Xie, Lei Zhang:
  Modeling and verifying the topology discovery mechanism of OpenFlow controllers in software-defined networks using process algebra. Sci. Comput. Program. 187: 102343 (2020)
• 
  Roshanak Aghabaghery, Alireza Hashemi Golpayegani, Leila Esmaeili:
  A new method for organizational process model discovery through the analysis of workflows and data exchange networks. Soc. Netw. Anal. Min. 10(1): 12 (2020)
• 
  Anna Rotondo, Fergus Quilligan:
  Evolution Paths for Knowledge Discovery and Data Mining Process Models. SN Comput. Sci. 1(2): 109 (2020)
• 
  Cristina Cabanillas, Lars Ackermann, Stefan Schönig, Christian Sturm, Jan Mendling:
  The RALph miner for automated discovery and verification of resource-aware process models. Softw. Syst. Model. 19(6): 1415-1441 (2020)

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