Results 81 to 90 of about 935,434 (195)

AML4S: An AutoML Pipeline for Data Streams

Machine Learning and Knowledge Extraction
The data landscape has changed, as more and more information is produced in the form of continuous data streams instead of stationary datasets. In this context, several online machine learning techniques have been proposed with the aim of automatically ...
Eleftherios Kalaitzidis, Themistoklis Diamantopoulos, Athanasios Michailoudis, Andreas L. Symeonidis   +3 more
doaj   +1 more source

Bayes-Optimized Adaptive Growing Neural Gas Method for Online Anomaly Detection of Industrial Streaming Data

Applied Sciences
Online anomaly detection is critical for industrial safety and security monitoring but is facing challenges due to the complexity of evolving data streams from working conditions and performance degradation.
Jian Zhang, Lili Guo, Song Gao, Mingwei Li, Chuanzhu Hao, Xuzhi Li, Lei Song   +6 more
doaj   +1 more source

rEMM: Extensible Markov Model for Data Stream Clustering in R

Journal of Statistical Software, 2010
Clustering streams of continuously arriving data has become an important application of data mining in recent years and efficient algorithms have been proposed by several researchers. However, clustering alone neglects the fact that data in a data stream
Michael Hahsler, Margaret H. Dunham
doaj  

Anomaly detection of large scale network based on data streams

Tongxin xuebao, 2006
The anomaly detection algorithms of the large scale network（LSN） were required to analysis the vast network traffic of G bit level in real-time and on-the-fly.A novel monitoring mechanism of LSN anomaly detection based on the data stream approach was ...
ZHENG Jun, HU Ming-zeng, YUN Xiao-chun, ZHENG Zhong   +3 more
doaj  

Density-based projected clustering of data streams [PDF]

, 2012
Gaber, M., Hassani, M., Seidl, T., Spaus, P.   +3 more
core   +1 more source

Intelligent Learning on Multidimensional Data Streams: A Bibliometric Analysis of Research Evolution and Future Directions

Information
Intelligent learning applied to multidimensional data streams has established itself as a rapidly expanding field, driven by the growth of ubiquitous computing and the Internet of Things.
Gary Reyes, Roberto Tolozano-Benites, Laura Lanzarini, Waldo Hasperué, Julio Barzola-Monteses   +4 more
doaj   +1 more source

Knockoff procedure for false discovery rate control in high-dimensional data streams. [PDF]

J Appl Stat, 2023
Wai Tsang K, Tsung F, Xu Z.
europepmc   +1 more source

Identifying Abnormal Hosts in Data Streams Using Reversible Sketch

Engineering Reports
Significant cardinality change is an important sign of the beginning of network attacks. Hosts associated with significant cardinality changes usually exhibit abnormal behavior.
Aiping Zhou, Jin Qian
doaj   +1 more source

Retracted: Sentiment Analysis on COVID-19 Twitter Data Streams Using Deep Belief Neural Networks. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

Leveraging Multiple Data Streams for Prioritization of Mixtures for Hazard Characterization. [PDF]

Toxics, 2022
Rivera BN, Ghetu CC, Chang Y, Truong L, Tanguay RL, Anderson KA, Tilton SC.   +6 more
europepmc   +1 more source