Real-time Public Mood Tracking of Chinese Microblog Streams with Complex Event Processing

Shi, Si; Jin, Dawei; Goh, Tiong‐Thye

doi:10.1109/access.2016.2633721

Cited by 11 publications

(7 citation statements)

References 41 publications

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“…The key objectives of their research involved a device to achieve online outlier detection nished manifold data streams in a resource-constrained device and a prototype presentation that executed these supplies to categorize heavy behavior. A case study was conceded out in a real-world situation in Brazil with the purpose of authenticating the model [20]. Shi et al (2017) proposed a ranked framework intended for real-time public attitude time sequence tracing over Chinese microblog streams with CEP.…”

Section: Our Contributionmentioning

confidence: 99%

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Intelligent Intrusion Detection System Using Log Cluster Knowledge Inference Bayes in Complex Event Processing

Sandosh

Padmanaban

Kaviarasan³

et al. 2023

Preprint

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Intrusion Detection Systems (IDS) are critical components in a secure network environment, permitting for initial discovery of malicious actions along with attacks. By means of using the data provided by IDS, it is probable to relate proper countermeasures and to alleviate attacks that extremely determine the security of a network. Widespread research was done in the field of IDS design to construct highly scalable IDS without compromising efficiency and security. The purpose of the proposed work is to develop Intelligent IDS using Log Cluster Knowledge Inference Bayes (IIDS-LCKIB) in Complex Event Processing (CEP) Environment. IIDS-LCKIB is used to examine the network traffic data effectivelyIIDS-LCKIB provide the better CEP Environment. Further, it endeavours to decrease the rate of False Positive for the solicitation of network intrusion systems in the real-world and to focus on security along with scalability in Network traffic data. In addition, it tries to test and estimate the performance using New Mathematical IIDS-LCKIB in CEP Environment. The parameters simulation is tested in Java/J2EE software.

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Section: Our Contributionmentioning

confidence: 99%

“…A case study was conceded out in a real-world situation in Brazil with the purpose of authenticating the model [20]. Shi et al (2017) proposed a ranked framework intended for real-time public attitude time sequence tracing over Chinese microblog streams with CEP. CEP could manage high-volume and high-speed data streams.…”

Section: Our Contributionmentioning

confidence: 99%

Intelligent Intrusion Detection System Using Log Cluster Knowledge Inference Bayes in Complex Event Processing

Sandosh

Padmanaban

Kaviarasan³

et al. 2023

Preprint

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“…The results show high accuracy in detecting one of many itineraries as well as the occupancy of the car. (Shi et al, 2017) present a hierarchical framework with which it is possible to do a real-time mood tracking of microblog streams with CEP. In their work the feasibility as well as effectiveness of the used framework is demonstrated.…”

Section: Event Processing and Complex Event Processingmentioning

confidence: 99%

Challenges and Architectural Approaches for Automotive PLM in Multi-Brand Organisations - A Discussion Paper

Kehl

Hesselmann

Stiefel

et al. 2019

Proc. Int. Conf. Eng. Des.

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Today, top-down processes, centralized IT infrastructures, and one-vendor strategies prevail in Product Lifecycle Management (PLM) of large multi-brand Original Equipment Manufacturer (OEM) groups. Given the usually decentralized organisation and structures and processes that emerge from cross-brand collaboration, these centralized approaches are challenging the adaptiveness and performance of the OEM groups.In this concept paper, we investigate challenges for cross-brand and cross-domain cooperation from the perspective of processes and IT systems. The main contribution of this paper is that we motivate and outline a novel technical architecture approach combining service-orientation with an event-driven software architecture and asynchronous event processing to support users from different brands and domains in their collaboration along the development process. We analyse related work on collaboration models as well as on event processing and discuss our approach before the background of the state of the art. Finally, we summarize our findings and give an outlook to future research venues.

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“…Complex Event Processing (CEP) systems are being widely adopted as they provide effective means for processing and analyzing the steadily growing number of information sources that continuously produce and offer data in many applications of interest. Examples of such applications include monitoring systems for critical infrastructures [1], environmental monitoring [2]- [4], stock market analysis [5], network analysis and surveillance [6], maritime vessels trajectory monitoring [7], and social media data aggregation [8], [9]. One domain where CEP is particularly relevant is the Internet of Things (IoT) [10], [11], where applications should process and react to events arriving from various kinds of sources including wireless sensor networks, RFID devices, GPS, etc.…”

Section: Introductionmentioning

confidence: 99%

Managing Measurement and Occurrence Uncertainty in Complex Event Processing Systems

et al. 2019

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Complex event processing (CEP) is a powerful technology for analyzing streams of real-time events, coming from different sources, and for extracting conclusions from them. In many situations, these events are not free from uncertainty, due to either unreliable data sources and networks, measurement uncertainty, or inability to determine whether an event has actually happened or not. This paper presents a proposal for incorporating and managing different kinds of uncertainty that may happen in both events and rules of the CEP systems. We provide a library that enables the representation and propagation of uncertain values, which can be efficiently integrated with the existing CEP languages and engines to deal with uncertainty, and we show how the treatment of uncertainty can be smoothly added to two of them: Esper and Apache Flink. Five applications coming from various domains serve to evaluate the proposal and to analyze its performance and accuracy. The results show that the overhead introduced by the treatment of uncertainty is not high and good precision and recall are achieved. INDEX TERMS Complex event processing, measurement uncertainty, stream processing.

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Real-time Public Mood Tracking of Chinese Microblog Streams with Complex Event Processing

Cited by 11 publications

References 41 publications

Intelligent Intrusion Detection System Using Log Cluster Knowledge Inference Bayes in Complex Event Processing

Intelligent Intrusion Detection System Using Log Cluster Knowledge Inference Bayes in Complex Event Processing

Challenges and Architectural Approaches for Automotive PLM in Multi-Brand Organisations - A Discussion Paper

Managing Measurement and Occurrence Uncertainty in Complex Event Processing Systems

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