Determination of Rule Patterns in Complex Event Processing Using Machine Learning Techniques

Mehdiyev, Nijat; Krumeich, Julian; Enke, David; Werth, Dirk; Loos, Peter

doi:10.1016/j.procs.2015.09.168

Cited by 49 publications

(29 citation statements)

References 19 publications

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“…A brief survey of relevant literature shows that most researchers emphasize on the CEP design query, event processing language and optimization of real time analysis whereas the systems normally utilize the experts devised rule patterns (Mehdiyev et al 2015). The lack of Machine Learning (ML) in present research works can be improved by incorporating CEP middleware with data mining approaches (Mehdiyev et al 2015).…”

Section: Literature Reviewmentioning

confidence: 98%

“…The lack of Machine Learning (ML) in present research works can be improved by incorporating CEP middleware with data mining approaches (Mehdiyev et al 2015). Several ML detectors have been implemented in domains such as intrusion detection and fingerprint identification for interest event patterns identification from sensor data streams (Lee et al 1999).…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Suspicious Loitering Detection from Annotated CCTV Feed Using CEP Based Approach

Shahad¹,

Ibrahim²,

Xian³

et al. 2018

JKUKM

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Section: Literature Reviewmentioning

confidence: 98%

Section: Literature Reviewmentioning

confidence: 99%

Suspicious Loitering Detection from Annotated CCTV Feed Using CEP Based Approach

Shahad¹,

Ibrahim²,

Xian³

et al. 2018

JKUKM

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show abstract

“…Moreover, a background knowledge-base (KB) containing information about the homes' addresses, owners and measurement units, etc., can be used to further enrich the matched events. UC 2 (Trajectory Classification) Trajectory classification involves in determining the sequence of objects movement (trajectories) to determine their types [23,29]. For instance, finding the fishing boat by discovering the trajectory of a boat over some time interval.…”

Section: Motivational Examples and Requirementsmentioning

confidence: 99%

A query language for semantic complex event processing: Syntax, semantics and implementation

Gillani

Zimmermann

Picard

et al. 2018

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The field of Complex Event Processing (CEP) relates to the techniques and tools developed to efficiently process pattern-based queries over data streams. The Semantic Web, through its standards and technologies, is in constant pursue to provide solutions for such paradigm while employing the RDF data model. The integration of Semantic Web technologies in this context can handle the heterogeneity, integration and interpretation of data streams at semantic level. In this paper, we propose and implement a new query language, called SPA , that extends SPARQL with new Semantic Complex Event Processing (SCEP) operators that can be evaluated over RDF graph-based events. The novelties of SPA includes (i) the separation of general graph pattern matching constructs and temporal operators; (ii) the support for RDF graph-based events and multiple RDF graph streams; and (iii) the expressibility of temporal operators such as Kleene+, conjunction, disjunction and event selection strategies; and (iv) the operators to integrate background information and streaming RDF graph streams. Hence, SPA enjoys good expressiveness compared with the existing solutions. Furthermore, we provide an efficient implementation of SPA using a non-deterministic automata (NFA) model for an efficient evaluation of the SPA queries. We provide the syntax and semantics of SPA and based on this, we show how it can be implemented in an efficient manner. Moreover, we also present an experimental evaluation of its performance, showing that it improves over state-of-the-art approaches.

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“…Complex event processing has three different levels [20] : (i) Filtering, (ii) Matching and (iii) Event Analysis. Based on Fig.…”

Section: B the Cep Model And Architecturementioning

confidence: 99%

A Review on Complex Event Processing in RFID System

Yaacob

Mahdin

Saedudin

et al. 2018

International Journal on Advanced Science, Engineering and Information Technology

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The motivation of this paper is to review some of the leading research issues encountered by current Complex Event Processing (CEP) techniques. General CEP system undoubtedly laid a certain degree of uncertainties due to some unforeseen reasons such as inaccurate measurements through network failures or unpredicted interference from the system failures. A variety of traditional to the most current techniques was disclosed with some features, which are rarely considered in typical CEP problems. Besides, this paper also discusses a broad review of modern and future solutions, including techniques beyond mainstreams in complex event processing. Based on the critical analysis of prior techniques and solutions, therefore, we further the research and propose a solution for a new type of event processing engine especially in RFID for future reference.

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Determination of Rule Patterns in Complex Event Processing Using Machine Learning Techniques

Cited by 49 publications

References 19 publications

Suspicious Loitering Detection from Annotated CCTV Feed Using CEP Based Approach

Suspicious Loitering Detection from Annotated CCTV Feed Using CEP Based Approach

A query language for semantic complex event processing: Syntax, semantics and implementation

A Review on Complex Event Processing in RFID System

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