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Event stream-based process discovery using abstract representations

Sebastiaan J. van Zelst, Boudewijn F. van Dongen, Wil M. P. van der Aalst
2017 Knowledge and Information Systems  
Using these instantiations, we evaluate several dimensions of stream-based process discovery.  ...  In this paper, we focus on process discovery relying on online streams of business process execution events.  ...  Abstract representations in event stream-based process discovery In this section, we present the S-BAR architecture which captures the use of abstract representations in an event stream context in a generic  ... 
doi:10.1007/s10115-017-1060-2 fatcat:iunnvliqqrdidginn5k7q4cjie

Online Process Discovery [chapter]

2019 Encyclopedia of Big Data Technologies  
The extension enables researchers to visually compare the results of two different process discovery algorithms for a single incoming stream of events with different algorithms to deal with the data streams  ...  The ProM framework that enables process mining with streaming data has been advanced to support event streams in the recent past.  ...  One such development focuses on abstract representation approximations using algorithms which are designed for frequent item mining on data streams [8] .  ... 
doi:10.1007/978-3-319-77525-8_100245 fatcat:akexmef7hnfghe6gl7j26a2l7a

A Framework for Multidimensional Real-Time Data Analysis

Christina Catley, Kathy Smith, Carolyn McGregor, Andrew James, J. Mikael Eklund
2011 International Journal of Computational Models and Algorithms in Medicine  
Streams; 4) demonstrating knowledge discovery with simple and complex temporal abstractions of the data streams; and 5) presenting results for early detection of episodes of apnoea across multiple physiological  ...  practice event processing for episodes of apnoea; 3) translating the model in SPADE to enable the deployment within the real-time processing layer of the Artemis platform, which utilizes IBM's InfoSphere  ...  Knowledge discovery is based on applying temporal abstractions (TA) to both incoming data streams and on newly abstracted streams.  ... 
doi:10.4018/jcmam.2011010102 fatcat:gnbnri3cyzgblnbfb6zrgevh7a

Streaming Process Discovery and Conformance Checking [chapter]

Andrea Burattin
2018 Encyclopedia of Big Data Technologies  
Definitions Streaming process discovery, streaming conformance checking, and streaming process mining in general (also known as online process mining) are disciplines which analyze event streams to extract  ...  Synonyms Online process mining; online process discovery; online conformance checking.  ...  To show the generability of their abstract representation, authors also show a miner based on Region Theory (cf. van der Aalst et al (2008) ).  ... 
doi:10.1007/978-3-319-63962-8_103-1 fatcat:c6xrsnhtknehvpthrwuwnu3ksi

Large-Scale Indexing, Discovery, and Ranking for the Internet of Things (IoT)

Yasmin Fathy, Payam Barnaghi, Rahim Tafazolli
2018 ACM Computing Surveys  
IoT data is usually multi-variant streams that are heterogeneous, sporadic, multi-modal and spatio-temporal.  ...  However, the existing IoT data indexing and discovery approaches are complex or centralised which hinders their scalability.  ...  However, some applications may use aggregation and abstraction to store higher-level representations such as patterns and/or events.  ... 
doi:10.1145/3154525 fatcat:g6h4h6ezorhkda6qmgibgn4dtm

Observing the Pulse of a City: A Smart City Framework for Real-Time Discovery, Federation, and Aggregation of Data Streams

Sefki Kolozali, Maria Bermudez-Edo, Nazli Farajidavar, Payam Barnaghi, Feng Gao, Muhammad Intizar Ali, Alessandra Mileo, Marten Fischer, Thorben Iggena, Daniel Kuemper, Ralf Tonjes
2019 IEEE Internet of Things Journal  
We also investigate the optimisation of the semantic data discovery and integration based on the proposed stream quality analysis and data aggregation techniques.  ...  The proposed framework enables efficient semantic integration of data streams and complex event processing on top of real-time data aggregation and quality analysis in a Semantic Web environment.  ...  Sensors Streams Integration Sensor stream discovery deals only with primitive event service discovery.  ... 
doi:10.1109/jiot.2018.2872606 fatcat:hl3pexjlorgfbnv5q6fppwh53u

Discovering Process Maps from Event Streams [article]

Volodymyr Leno and Abel Armas-Cervantes and Marlon Dumas and Marcello La Rosa and Fabrizio M. Maggi
2018 arXiv   pre-print
Given an event stream produced by the execution of a business process, the goal of an online process discovery method is to maintain a continuously updated model of the process with a bounded amount of  ...  Automated process discovery is a class of process mining methods that allow analysts to extract business process models from event logs.  ...  In process discovery from event streams, the main challenge is that it is not possible to keep the whole event stream in memory.  ... 
arXiv:1804.02704v1 fatcat:ffuu3kt435h75jepvj2dnx2jua

From Data to Actionable Knowledge: Big Data Challenges in the Web of Things [Guest Editors' Introduction]

Payam Barnaghi, Amit Sheth, Cory Henson
2013 IEEE Intelligent Systems  
Their proposed framework uses real-time data analysis techniques for event processing and creates semantic event descriptions that are processed to generate alerts.  ...  The data can be aggregated and summarized, or they can be processed and transformed to higherlevel abstract descriptions of situations and events.  ... 
doi:10.1109/mis.2013.142 fatcat:s2sx6prpxza5lmxvddnvw4n4bq

Dynamic Constructs Competition Miner - Occurrence- vs. Time-Based Ageing [chapter]

David Redlich, Thomas Molka, Wasif Gilani, Gordon Blair, Awais Rashid
2015 Lecture Notes in Business Information Processing  
In this paper we propose a set of modifications for the CCM to enable dynamic business process discovery of a run-time process model from a stream of events.  ...  We furthermore investigate the behaviour and performance of the algorithm and the ageing techniques on event streams of dynamically changing processes.  ...  In the context of process discovery on event streams, a synonymous term sometimes used is Streaming Process Discovery (SPD). SPD was coined by Burattin et al. in [5] .  ... 
doi:10.1007/978-3-319-27243-6_4 fatcat:a4bncbldmrdi7gbduwlal6m7fy

High-level Programming Support for Robust Pervasive Computing Applications

Wilfried Jouve, Julien Lancia, Nicolas Palix, Charles Consel, Julia Lawall
2008 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom)  
Furthermore, customized operations are automatically generated to support the development of pervasive computing activities, such as service discovery and session negotiation for stream-oriented devices  ...  This process enables verifications to be performed prior to runtime on both the declared environment and a given application.  ...  support that can be provided for stream-based programming.  ... 
doi:10.1109/percom.2008.9 dblp:conf/percom/JouveLPCL08 fatcat:ptbewcn4fnbkpnkklg2fbyqy4q

Managing Pervasive Environments through Database Principles: A Survey [chapter]

Yann Gripay, Frédérique Laforest, Jean-Marc Petit
2009 Studies in Computational Intelligence  
, network management, service discovery. . .  ...  Managing such environments, so as to benefit from its full potential of available resources providing information and services, is a challenging issue that covers several research fields like data representation  ...  A complex event-processing using state-machine operator producing data streams is also proposed.  ... 
doi:10.1007/978-3-642-02190-9_13 fatcat:xh6bgbgelbeufl2crbtrt2ulxq

Financial Time Series Processing: A Roadmap of Online and Offline Methods [chapter]

Daniela Pohl, Abdelhamid Bouchachia
2013 Advanced Information and Knowledge Processing  
Particular focus is given to the classification of such approaches in terms of the the processing mode (ie., online vs. offline).  ...  Because financial information is a vital asset for financial and economic organizations, it requires careful management so that those organizations can enhance and facilitate the decision making process  ...  The section distinguishes the different algorithms based on the processing mode (offline vs. online) and the processing step (abstraction, mining & discovery, prediction).  ... 
doi:10.1007/978-1-4471-4866-1_10 fatcat:d5vfb3h4ofguvoyeiplsivxyyq

A framework for the management of past experiences with time-extended situations

Michel Jaczynski
1997 Proceedings of the sixth international conference on Information and knowledge management - CIKM '97  
Inside our framework for past experiences management, we propose a representation model that mainly handles situations described by a set of sequences of events and/or sampled data.  ...  In the context of knowledge management, we focus on the representation and the retrieval of past experiences called cases within the Case-Based Reasoning (CBR) paradigm.  ...  ACKNOWLEDGEMENT We would like to thank Brigitte Trousse for her useful comments and suggestions.  ... 
doi:10.1145/266714.266851 dblp:conf/cikm/Jaczynski97 fatcat:ttlrvpysezgqllocwergbwrvmq

User-centric modeling and processing for ubiquitous events using semantic capability models

Feng Gao, Sami Bhiri, Zhangbing Zhou
2012 Communications in Mobile Computing  
Then, we transform the event patterns into stream queries to facilitate an automatic implementation for the event processing system.  ...  In this paper, we present a intuitive way to model the complex event patterns based on semantic descriptions of sensor service capabilities.  ...  In [1] a prolog-based framework is proposed to transform continuous triples as logic facts and stream query as rules, so that the processing of complex events can make use of both dynamic event data  ... 
doi:10.1186/2192-1121-1-7 fatcat:qaulvotp5vh2bprrt5gtxsrlzm

H2020 DataCloud project - Enabling the big data pipeline lifecycle on the computing continuum

Andrea Marrella
2021 Zenodo  
This presentation introduces the main features and challenges tackled by the H2020 DataCloud Project, with a focus on the research and technical solutions to the discovery of data pipelines.  ...  Pipeline definition deals with specifying pipelines featuring an abstraction level suitable for pure data processing.  ...  /project/business-cases A focus on DIS-PIPE Discovery of data pipelines • Discovery of data pipelines aims to automatically construct a representation of the organization workflows' structure (and  ... 
doi:10.5281/zenodo.4700456 fatcat:afwsia6vbjbrrbzgcxxiohf35e
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