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108 results for “data stream”
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Research ArticleOpen accessPhrase in the titleAdaptive Synthetic Oversampling Algorithm for Handling Class Imbalance in Multi-Class Data Stream ClassificationPriya S., Annie UthraConcept drift and class imbalanced data are major challenging processes involved in modern streaming data classification. Particularly, when integrated with difficult factors like the existence of noise, overlapping class distribution, concept drift, and data imbalance can considerably affect the classifier results. In addition, various challenges affect the performance of the existing oversampling schemes such as SMOTE and its derivatives. Regardless … …Journal of Computer Science, Vol. 18, Issue 7 · 26 Jul 2022 · 5,809 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleData Streams Curation for Better Machine Learning Functionality and Result to Serve IoT and other Applications: A SurveyHaya Salah, Islam Al-Omari, Jaber Alwidian et al.Data Curation on data streams is effective in operating and reducing costs of BIG DATA analytic. Basically, analytic preparation requires data curation of available heterogeneous data sets available in big data clusters and such analytic process becomes harder when it comes to the concept of conducting the curation process on Data-on-Motion, in order to come at actionable insights and valuable … …Journal of Computer Science, Vol. 15, Issue 10 · 1 Nov 2019 · 8,722 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleEfficient Hybrid Network (Wired and Wireless) Intrusion Detection using Statistical Data Streams and Detection of Clustered AlertsP. Thangaraj, M. ThangavelProblem statement: Wireless LAN IEEE 802.11 protocols are growing rapidly and security has always been a concern with the security of wired network. Wireless networks encountered threats from unauthorized access to network resources, installation of access points and illegal sniffing (refer as classical intrusion threats). In its current hybrid wired and wireless network attacks on the generally distinguish from normal … …Journal of Computer Science, Vol. 7, Issue 9 · 30 Jul 2011 · 7,165 accessesView PDFCite
Review ArticleOpen accessPhrase in the titleA Survey on Event Detection Models for Text Data StreamsWafa Zubair AL-Dyani, Farzana Kabir Ahmad, Siti Sakira KamaruddinEvent Detection (ED) is a study area that attracts the attention of decision-makers from various disciplines in order to help them in taking the right decision. ED has been examined on various text streams like Twitter, Facebook, Emails, Blogs, Web Forums and newswires. Many ED models have been proposed in literature. In general, ED model consists of six main phases: … …Journal of Computer Science, Vol. 16, Issue 7 · 14 Jul 2020 · 7,038 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleReal Time Anomaly Detection in Massive Data Streams with ELK StackJakup Fondaj, Zirije HasaniReal time anomaly detection is very popular topic nowadays this because the number of data generated every day is larger and larger. Facing with the phenomena of Big Data is not an easy task. The main aim of this research is to fine appropriate architecture for real-time big data analytic and its main task is to detect anomalies in this … …Journal of Computer Science, Vol. 15, Issue 6 · 17 Jun 2019 · 7,794 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleIMPLEMENTATION OF CENTRAL QUEUE BASED REALTIME SCHEDULER FOR MULTIPLE SOURCE DATA STREAMINGV. Kaviha, V. Kannan, S. RaviReal-time data packet sources are required to remain robust against different security threats. This study proposes a real-time secure scheduling strategy for data transmission to enhance the communication throughput and reduce the overheads. The proposed system combines real-time scheduling with security service enhancement, error detection and realtime scheduler based on EDF algorithm using uc/os-II real time operating system, implemented on … …Journal of Computer Science, Vol. 10, Issue 9 · 22 Apr 2014 · 6,381 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAnomaly Detection Algorithms for Streaming Data: Performance ComparisonZirije HasaniToday’s most of the data are streaming time-series data, where is very important anomaly detection over this data because gives significant information of possible critical situations. Detecting anomalies in big streaming data is yet difficult task because we have to process them in real time, even before they are stored and instantly alarm on potential threats. For real time streaming … …Journal of Computer Science, Vol. 16, Issue 7 · 18 Jul 2020 · 7,288 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEfficient Sensor Stream Data Processing System to use Cache Technique for Ubiquitous Sensor Network Application ServiceJun-Yong Park, Ryum-Duck OhProblem statement: For the purpose of supporting application services in the Ubiquitous Sensor Network (USN) environment, efficient processing of stream data that occur in the sensor nodes and relevant utilization technologies are being studied. Approach: The conversion of various sensor stream data that occur in the sensor nodes into sensor data suitable for use in the upper-level application system is … …Journal of Computer Science, Vol. 8, Issue 3 · 9 Jan 2012 · 6,871 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleTowards a Generic Multimodal Architecture for Batch and Streaming Big Data IntegrationSiham Yousfi, Maryem Rhanoui, Dalila ChiadmiBig Data are rapidly produced from various heterogeneous data sources. They are of different types (text, image, video or audio) and have different levels of reliability and completeness. One of the most interesting architectures that deal with the large amount of emerging data at high velocity is called the lambda architecture. In fact, it combines two different processing layers namely … …Journal of Computer Science, Vol. 15, Issue 1 · 31 Jan 2019 · 7,646 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImplementation of IP Video Streaming Software to Identify Availability and AudienceVitor Chaves de Oliveira, Sérgio Bimbi Junior, Andreiwid Sheffer Corrêa et al.The perpetual rise of the video on demand is currently one of the leading challenges the telecommunications industry faces. It per passes the eternal comparison with a service that continuously set’s the bar at a highly elevated consumer quality. And the user, advertiser and all stakeholders involved not only are used to it, but demand equal and/or similar value, i.e., … …Journal of Computer Science, Vol. 14, Issue 7 · 11 Jun 2018 · 8,595 accessesView PDFCite