Toward Budgeted Online Kernel Ridge Regression on Streaming Data
IEEE Access, 2019 “Concept drift”makes learning from streaming data fundamentally different from traditional batch learning. Focusing on the regression task on streaming data, this paper presents an efficient online learning algorithm, i.e., budgeted online ...
Fuhao Gao +3 more
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Real-Time Power System Event Detection: A Novel Instance Selection Approach
IEEE Access, 2023 This study presents a novel adaptation of the Hoeffding Adaptive Tree (HAT) classifier with an instance selection algorithm that detects and identifies cyber and non-cyber contingencies in real time to enhance the situational awareness of cyber-physical ...
Gabriel Intriago, Yu Zhang
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Evaluation methods and decision theory for classification of streaming data with temporal dependence [PDF]
, 2014 Predictive modeling on data streams plays an important role in modern data analysis, where data arrives continuously and needs to be mined in real time.
Bifet, Albert +4 more
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Evaluation of recommender systems in streaming environments [PDF]
, 2015 Evaluation of recommender systems is typically done with finite datasets. This means that conventional evaluation methodologies are only applicable in offline experiments, where data and models are stationary.
Gama, João +2 more
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Self-Attention Network for Session-Based Recommendation With Streaming Data Input
IEEE Access, 2019 In the current era of the rapid development of big data, it has become increasingly critical and practical to study recommender systems with streaming data input.
Shiming Sun +3 more
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Annotations in Data Streams [PDF]
ACM Transactions on Algorithms, 2014 The central goal of data stream algorithms is to process massive streams of data using sublinear storage space. Motivated by work in the database community on outsourcing database and data stream processing, we ask whether the space usage of such algorithms can be further reduced by enlisting a more powerful “helper”
Chakrabarti, Amit +3 more
openaire +2 more sources
Research and Application of an Online Train ConditionMonitoring Method Based on Streaming Data
Kongzhi Yu Xinxi Jishu, 2021 In order to detect the online status of trains in real time, traditional threshold detection methods can only make judgments on the status of equipment or systems based on numerical performance, while ignoring the train health status changes reflected in
FENG Furen
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Streaming Data Classification Based on Hierarchical Concept Drift and Online Ensemble
IEEE Access, 2023 In order to improve the performance of online learning in the real-time distribution of streaming data, a streaming data classification algorithm based on hierarchical concept drift and online ensemble(SCHCDOE) is proposed in this paper.
Ning Liu, Jianhua Zhao
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Xstream-x264: Real-time H.264 streaming with cross-layer integration [PDF]
, 2011 We present Xstream-x264: a real-time cross-layer video streaming technique implemented within a well known open-source H.264 video encoder tool x264.
Boreli, Roksana +2 more
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Construction and Application of Dynamic Monitoring System for Wheelsets of High Speed EMUs
Kongzhi Yu Xinxi Jishu, 2021 Wheelset is one of the most important components of high speed EMU bogie system, and its health determines the safety of EMUs. At present, wheelset management information systems for EMU repair, dynamic detection, train information and operating mileage ...
LI Shuzhi, SONG Peiyuan, LU Kai
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