Results 61 to 70 of about 5,420 (166)

Adaptive Data Prefetching for File Storage Systems Using Online Machine Learning

Big Data and Cognitive Computing
Data prefetching is essential for modern file storage systems operating in large-scale cloud and data-intensive environments, where high performance increasingly depends on intelligent, adaptive mechanisms.
George Savva, Herodotos Herodotou
doaj   +1 more source

New results on online job scheduling and data stream algorithms

, 2012
published_or_final_version ; Computer Science ; Doctoral ; Doctor of ...
openaire   +2 more sources

A hierarchical reinforcement learning approach for energy‐aware service function chain dynamic deployment in IoT

IET Communications
Traffic volume is increasing dramatically due to the quick development of technologies like online gaming, on‐demand video streaming, and the Internet of Things (IoT). The telecommunications industry's large‐scale expansion is increasing its energy usage
Shuyi Wang, Haotong Cao, Longxiang Yang
doaj   +1 more source

Improved WOA-DBSCAN Online Clustering Algorithm for Radar Signal Data Streams

Sensors
For the pulsed data streams emitted by multiple signal sources that generate aliasing, traditional density clustering algorithms have the problems of poor clustering effect, heavy reliance on manual experience to set the parameters, and the need to carry out density clustering every time new data are input, resulting in a huge amount of computation ...
Haidong Wan, Cheng Lu, Yongpeng Cui
openaire   +2 more sources

Online algorithms for mining semi-structured data stream

Online algorithms for mining semi-structured data stream
In this paper, we study an online data mining problem from streams of semi-structured data such as XML data. Modeling semi-structured data and patterns as labeled ordered trees, we present an online algorithm StreamT that receives fragments of an unseen possibly infinite semi-structured data in the document order through a data stream, and can return ...
openaire   +1 more source

Adaptive Online Convex Optimization: A Survey of Algorithms, Theory, and Modern Applications

Applied Sciences
Amid the exponential growth of streaming data and rising demands for real-time decision-making, Online Convex Optimization (OCO) has emerged as a foundational framework for sequential data processing in dynamic environments.
Yutong Zhang, Wentao Zhang, Lulu Zhang, Hanshen Li, Wentao Mo   +4 more
doaj   +1 more source

Distributed Denial of Service Detection: Enhancing Machine Learning Models for Multiclass Classification

IET Networks
This study experiments with machine learning algorithms for detecting distributed denial of service attacks as a multiclass classification problem. The algorithms included the K‐nearest neighbours, decision trees, support vector machines, random forests,
Paulo Victor, Iris Viana dos Santos Santana, Álvaro Sobrinho, Lenardo Chaves e Silva, Leandro Dias da Silva, Danilo F. S. Santos, Angelo Perkusich   +6 more
doaj   +1 more source

Algorithms for Efficient, Compact Online Data Stream Curation

Data stream algorithms tackle operations on high-volume sequences of read-once data items. Data stream scenarios include inherently real-time systems like sensor networks and financial markets. They also arise in purely-computational scenarios like ordered traversal of big data or long-running iterative simulations.
Moreno, Matthew Andres, Papa, Santiago Rodriguez, Dolson, Emily   +2 more
openaire   +1 more source

A genetic algorithm-based framework for online sparse feature selection in data streams. [PDF]

Front Big Data
Liu G, Liu J, He G, Liu Y, Bai H, Zhou M.   +5 more
europepmc   +1 more source

Intelligent incremental classification using a dynamic grasshopper-enhanced neural network for data streams. [PDF]

Sci Rep
Darwish SM, El-Shoafy NA.
europepmc   +1 more source