Results 11 to 20 of about 80,323 (233)
Unsupervised Feature Selection for Outlier Detection on Streaming Data to Enhance Network Security
Applied Sciences, 2021 Over the past couple of years, machine learning methods—especially the outlier detection ones—have anchored in the cybersecurity field to detect network-based anomalies rooted in novel attack patterns.
Michael Heigl +3 more
doaj +1 more source
Breast Cancer Identification from Patients’ Tweet Streaming Using Machine Learning Solution on Spark
Complexity, 2021 Twitter integrates with streaming data technologies and machine learning to add new value to healthcare. This paper presented a real-time system to predict breast cancer based on streaming patient’s health data from Twitter.
Nahla F. Omran +3 more
doaj +1 more source
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
core +1 more source
International Journal of Computational Intelligence Systems, 2020 The goals of feature selection are to remove redundant and irrelevant features from high-dimensional data, extract the “optimal feature subset” of the original feature space to improve the classification accuracy, and reduce the time complexity ...
Hongyi Wang, Dianlong You
doaj +1 more source
Sentiment Analysis on WeTV App Reviews on Google Play Store Using NBC and SVM Algorithms
Sistemasi: Jurnal Sistem Informasi, 2023 Since the Covid-19 outbreak hit Indonesia, all community activities have become very limited. The government's decision regarding PPKM to reduce the level of Covid-19 cases forced the community to reduce the level of activities outside the home including
Petronilia Palinggik Allorerung +1 more
doaj +1 more source
Towards mining trapezoidal data streams [PDF]
, 2016 © 2015 IEEE. We study a new problem of learning from doubly-streaming data where both data volume and feature space increase over time. We refer to the problem as mining trapezoidal data streams.
Ding, W +5 more
core +1 more source
IEEE Access, 2019 Early diagnosis significantly improves the survival rate in lung carcinoma patients. This study attempts to construct a predictive network between the computational features and semantic features of pulmonary nodules using online feature selection and ...
Jing Yang +4 more
doaj +1 more source
BRAHMA(+): A Framework for Resource Scaling of Streaming and ASAP Time-Varying Workflows [PDF]
, 2018 Automatic scaling of complex software-as-a-service application workflows is one of the most important problems concerning resource management in clouds.
Atrey, Ankita +3 more
core +1 more source
HTTP Adaptive Streaming Framework with Online Reinforcement Learning
Applied Sciences, 2022 Dynamic adaptive streaming over HTTP (DASH) is an effective method for improving video streaming’s quality of experience (QoE). However, the majority of existing schemes rely on heuristic algorithms, and the learning-based schemes that have recently ...
Jeongho Kang, Kwangsue Chung
doaj +1 more source
Improved approximation guarantees for weighted matching in the semi-streaming model [PDF]
, 2009 We study the maximum weight matching problem in the semi-streaming model, and improve on the currently best one-pass algorithm due to Zelke (Proc. of STACS2008, pages 669-680) by devising a deterministic approach whose performance guarantee is 4.91 ...
Asaf Levin +5 more
core +4 more sources