Results 11 to 20 of about 25,310,122 (328)
Unsupervised real-time anomaly detection for streaming data
Neurocomputing, 2017 We are seeing an enormous increase in the availability of streaming, time-series data. Largely driven by the rise of connected real-time data sources, this data presents technical challenges and opportunities.
Subutai Ahmad +3 more
semanticscholar +3 more sources
Research World, 2016 Big Data is top of mind in many organisations because of the flood of data now available. There is a belief that analysing Big Data can bring substantial competitive advantages. However collecting and storing the massive data streams‒although a challenge in itself‒is only part of the story.
Kooge, Edwin +2 more
openaire +2 more sources
Complex & Intelligent Systems, 2021 In present times, data science become popular to support and improve decision-making process. Due to the accessibility of a wide application perspective of data streaming, class imbalance and concept drifting become crucial learning problems.
S. Priya, R. Uthra
semanticscholar +1 more source
Real-Time UAV Trash Monitoring System
Applied Sciences, 2022 This study proposes a marine trash detection system based on unmanned aerial vehicles (UAVs) and aims to replace manpower with UAVs to detect marine trash efficiently and provide information to government agencies regarding real-time trash pollution ...
Yu-Hsien Liao, Jih-Gau Juang
doaj +1 more source
On the Improvement of the Isolation Forest Algorithm for Outlier Detection with Streaming Data
Electronics, 2021 In recent years, detecting anomalies in real-world computer networks has become a more and more challenging task due to the steady increase of high-volume, high-speed and high-dimensional streaming data, for which ground truth information is not ...
M. Heigl +5 more
semanticscholar +1 more source
A self-adaptive fuzzy learning system for streaming data prediction
Information Sciences, 2021 In this paper, a novel self-adaptive fuzzy learning (SAFL) system is proposed for streaming data prediction. SAFL self-learns from data streams a predictive model composed of a set of prototype-based fuzzy rules, with each of which representing a certain
Xiaowei Gu, Q. Shen
semanticscholar +1 more source
Incremental Entity Blocking over Heterogeneous Streaming Data
Information, 2022 Web systems have become a valuable source of semi-structured and streaming data. In this sense, Entity Resolution (ER) has become a key solution for integrating multiple data sources or identifying similarities between data items, namely entities.
Tiago Brasileiro Araújo +4 more
doaj +1 more source
Self-organizing fuzzy inference ensemble system for big streaming data classification
Knowledge-Based Systems, 2021 An evolving intelligent system (EIS) is able to self-update its system structure and meta-parameters from streaming data. However, since the majority of EISs are implemented on a single-model architecture, their performances on large-scale, complex data ...
Xiaowei Gu, P. Angelov, Zhijin Zhao
semanticscholar +1 more source
Multi-View Data Analysis Techniques for Monitoring Smart Building Systems
Sensors, 2021 In smart buildings, many different systems work in coordination to accomplish their tasks. In this process, the sensors associated with these systems collect large amounts of data generated in a streaming fashion, which is prone to concept drift.
Vishnu Manasa Devagiri +4 more
doaj +1 more source
An Adaptive Sampling Strategy for Online Monitoring and Diagnosis of High-Dimensional Streaming Data
Technometrics, 2021 Statistical process control techniques have been widely used for online process monitoring and diagnosis of streaming data in various applications, including manufacturing, healthcare, and environmental engineering.
A. M. Gómez, Dan Li, K. Paynabar
semanticscholar +1 more source