K-CEP: a knowledge-based complex event processing framework to manage qualitative spatiotemporal patterns

Barouni, Foued; Moulin, Bernard

doi:10.1504/ijipt.2016.081318

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…Considering CEP-based solutions for clustering position data stream, the majority of works encountered [62,63,64,65] provide generic range-query based primitives for detecting when a region is dense. For example, Mouza and Rigaux [62] reduce the problem of mobility pattern detection to regular expression.…”

Section: Complex Event Processingmentioning

confidence: 99%

Levantamento bibliográfico utilizando a ferramenta The End

Silva¹,

Silva²

2020

Minicursos Da ERCEMAPI 2020

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First, I would like to thank my family: my grandmother Rosalha Borges, my mother Luciane Borges, my aunt Crisitiane Borges, and my brother Diogo Borges, for always being there for me and supporting me in life, especially in difficult moments such as this one where I had to absent from their presence to accomplish this work. Without them I would not be able to fulfill this work. I would like to thank my adviser, Prof. Markus Endler, to whom I have an immense gratitude and admiration for his excellent guidance, availability, patience and for having given me the honor of working with him. His research vision has inspired and shaped me into becoming a better researcher. I'm sure our research partnership will continue after the end of my PhD. I would also like to thank Prof. Francisco Silva. His critical view guided and shaped numerous parts of this thesis. I learned a lot from him. In the same way, I would also like to thank Prof. Marco Casanova and Prof. Hélio Lopes for encouraging me to work with this topic and providing numerous suggestions, especially the insight for the density heuristic. I would like to thank my roommates during the PhD journey: Àlan Guedes, Eduardo Araújo, Derlyane Simão, Katia Vega, and Thais Abreu. I learned a lot living with them and they made the PhD journey with more joy and happiness. I will miss you all. In addition to my funny roommates, I would also like to thank all my friends (1801!

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Section: Complex Event Processingmentioning

confidence: 99%

Levantamento bibliográfico utilizando a ferramenta The End

Silva¹,

Silva²

2020

Minicursos Da ERCEMAPI 2020

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“…In CEP terms, the expressiveness means the ability to express CEP detection rules with a high-level representation. This could be achieved by identifying CEP detection rules based on the correlation between event data and domain knowledge [12,163,164].…”

Section: Introductionmentioning

confidence: 99%

A situation refinement model for complex event processing

Alakari

Gebali

2020

Knowledge-Based Systems

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K-CEP: a knowledge-based complex event processing framework to manage qualitative spatiotemporal patterns

Cited by 2 publications

References 17 publications

Levantamento bibliográfico utilizando a ferramenta The End

Levantamento bibliográfico utilizando a ferramenta The End

A situation refinement model for complex event processing

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