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Incremental Data Stream Classification with Adaptive Multi-Task Multi-View Learning

• Authors : Jun Wang; Maiwang Shi; Xiao Zhang

Subjects: data stream classification; mobile sensors; multi-task multi-view learning

• Source: Big Data Mining and Analytics, Vol 7, Iss 1, Pp 87-106 (2024)

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Feature Drift Aware for Intrusion Detection System Using Developed Variable Length Particle Swarm Optimization in Data Stream

• Authors : Mustafa Sabah Noori; Ratna K. Z. Sahbudin; Aduwati Sali

Subjects: Intrusion detection system; data stream classification; high-dimensionality

• Source: IEEE Access, Vol 11, Pp 128596-128617 (2023)

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Online Active Learning Framework for Data Stream Classification With Density-Peaks Recognition

• Authors : Kuangyan Zhang; Sanmin Liu; Yanfei Chen

Subjects: Data stream classification; online active learning; density-peak clustering

• Source: IEEE Access, Vol 11, Pp 27853-27864 (2023)

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Effective Weighted k-Nearest Neighbors for Dynamic Data Streams

• Authors : Bahri, Maroua;

Subjects: Data stream classification; k-nearest neighbors; sliding windowOsaka; Japan

• Source: 7th Workshop on Real-time Stream Analytics, Stream Mining, CER/CEP & Stream

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A Novel Extra Tree Ensemble Optimized DL Framework (ETEODL) for Early Detection of Diabetes

• Authors : Monika Arya; Hanumat Sastry G; Anand Motwani

Subjects: data stream classification; deep learning; diabetes detection

• Source: Frontiers in Public Health, Vol 9 (2022)

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Analyzing and repairing concept drift adaptation in data stream classification

• Authors : Halstead, Ben; Koh, Yun Sing; Riddle, Patricia

Subjects: Concept drift; Data stream classification; Recurring concepts

• Source: Halstead , B , Koh , Y S , Riddle , P , Pears , R , Pechenizkiy , M , Bifet , A , Olivares , G & Coulson , G 2022 , ' Analyzing and repairing concept drift adaptation in

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Information Sciences / Evolving multi-label fuzzy classifier

• Authors : Lughofer, Edwin

Subjects: Data stream classification; Evolving fuzzy classifiers; Multi-labelingUL:TN:WM

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Adaptive Incremental-Learning Ensemble Classification Approach for Concept Drift Problem

• Authors : HAN Mingming, SUN Guanglu, ZHU Suxia

Subjects: data stream classification problem; concept drift; ensemble algorithm

• Source: Jisuanji kexue yu tansuo, Vol 14, Iss 7, Pp 1200-1210 (2020)

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An Incremental Kernel Extreme Learning Machine for Multi-Label Learning With Emerging New Labels

• Authors : Yanika Kongsorot; Punyaphol Horata; Pakarat Musikawan

Subjects: Multi-label classification; multi-label learning with emerging new labels; extreme learning machine

• Source: IEEE Access, Vol 8, Pp 46055-46070 (2020)

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CDDM: Concept Drift Detection Model for Data Stream

• Authors : Mashail Shaeel Althabiti; Manal Abdullah

Subjects: data stream mining; concept drift; concept drift detection

• Source: International Journal of Interactive Mobile Technologies, Vol 14, Iss 10, Pp 90-106 (2020)

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