Results 31 to 40 of about 24,707,127 (346)

Parameterized streaming : maximal matching and vertex cover [PDF]

open access: yes, 2014
As graphs continue to grow in size, we seek ways to effectively process such data at scale. The model of streaming graph processing, in which a compact summary is maintained as each edge insertion/deletion is observed, is an attractive one.
Chitnis, Rajesh; id_orcid   +11 more
core   +1 more source

Phantom-Driven Hybrid Deep Learning Classifier Systems for Real-Time Decision Making [PDF]

open access: yesپژوهش‌های نظری و کاربردی هوش ماشینی
Learning Classifier Systems are recognized as a hybrid framework that integrates rule-based interpretability with adaptive learning. However, classical LCS models experience performance degradation when handling high-dimensional, multichannel dynamic ...
MohammadReza DehghaniMahmoudAbadi   +1 more
doaj   +1 more source

An Evaluation System for Regional Collaborative Development of Industries Based on Multi-Source Data: A Case Study of the New Generation Electronic Information Industry Cluster in the Pear River Delta

open access: yesRedai dili, 2023
Industrial coordination constitutes a crucial aspect of regional integration, and evaluation of industrial collaboration holds significant practical importance in elucidating industrial processes and advancing industrial development.
Lin Aiyuan   +4 more
doaj   +1 more source

How big is Big Data? A comprehensive survey of data production, storage, and streaming in science and industry

open access: yesFrontiers in Big Data, 2023
The contemporary surge in data production is fueled by diverse factors, with contributions from numerous stakeholders across various sectors. Comparing the volumes at play among different big data entities is challenging due to the scarcity of publicly ...
Luca Clissa   +4 more
doaj   +1 more source

Correlation Clustering in Data Streams [PDF]

open access: yesAlgorithmica, 2021
AbstractClustering is a fundamental tool for analyzing large data sets. A rich body of work has been devoted to designing data-stream algorithms for the relevant optimization problems such as k-center, k-median, and k-means. Such algorithms need to be both time and and space efficient.
Ahn, KJ   +4 more
openaire   +8 more sources

Self-Attention Network for Session-Based Recommendation With Streaming Data Input

open access: yesIEEE 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
doaj   +1 more source

Performance evaluation of routing protocols in live video streaming over wireless mesh networks [PDF]

open access: yes, 2013
In recent years, live video streaming over Wireless Mesh Networks (WMNs) has been of great interest among users. However, node mobility, interferences and competition for the available resources are some important factors, to name a few, which can ...
Quintana, Alfonso Ariza   +4 more
core   +1 more source

LASSO for streaming data with adaptative filtering [PDF]

open access: yes, 2022
Streaming data is ubiquitous in modern machine learning, and so the development of scalable algorithms to analyze this sort of information is a topic of current interest.
Lozano, J.A., Capó, M., Pérez, A.
core   +1 more source

Real-Time Power System Event Detection: A Novel Instance Selection Approach

open access: yesIEEE 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
doaj   +1 more source

Research and Application of an Online Train ConditionMonitoring Method Based on Streaming Data

open access: yesKongzhi 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
doaj  

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