Results 21 to 30 of about 23,984,354 (259)
StreamingBandit: Experimenting with Bandit Policies
Journal of Statistical Software, 2020 A large number of statistical decision problems in the social sciences and beyond can be framed as a (contextual) multi-armed bandit problem. However, it is notoriously hard to develop and evaluate policies that tackle these types of problems, and to use
Jules Kruijswijk +3 more
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Change detection in categorical evolving data streams [PDF]
, 2014 Detecting change in evolving data streams is a central issue for accurate adaptive learning. In real world applications, data streams have categorical features, and changes induced in the data distribution of these categorical features have not been ...
Ienco, Dino +7 more
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Efficient mining fuzzy association rules from ubiquitous data streams
Alexandria Engineering Journal, 2015 Due to the development in technology, a number of applications such as smart mobile phone, sensor networks and GPS devices produce huge amount of ubiquitous data in the form of streams. Different from data in traditional static databases, ubiquitous data
Amal Moustafa +2 more
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Applied Sciences, 2020 Daily living activities (DLAs) classification using data collected from wearable monitoring sensors is very challenging due to the imbalance characteristics of the monitored data.
Dorin Moldovan +3 more
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Resource-aware mining of data streams [PDF]
, 2005 Mining data streams has raised a number of research challenges for the data mining community. These challenges include the limitations of computational resources, especially because mining streams of data most likely be done on a mobile device with ...
Gaber, Mohamed Medhat +11 more
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Accurate Quantile Estimation for Skewed Data Streams Using Nonlinear Interpolation
IEEE Access, 2018 Quantile estimation is a fundamental method to generate the descriptions of the distribution of data for data management and analysis. Although the investigation and design of efficient quantile estimation algorithm has attracted much study, the problem ...
Jun Liu +3 more
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Annotations in data streams [PDF]
, 2014 The central goal of data stream algorithms is to process massive streams of data using sublinear storage space. Motivated by work in the database community on outsourcing database and data stream processing, we ask whether the space usage of such ...
McGregor, Andrew +3 more
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An Online Anomaly Detection Approach for Fault Detection on Fire Alarm Systems
Sensors, 2023 The early detection of fire is of utmost importance since it is related to devastating threats regarding human lives and economic losses. Unfortunately, fire alarm sensory systems are known to be prone to failures and frequent false alarms, putting ...
Emanuel Sousa Tomé +3 more
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Fast perceptron decision tree learning from evolving data streams [PDF]
, 2010 Mining of data streams must balance three evaluation dimensions: accuracy, time and memory. Excellent accuracy on data streams has been obtained with Naive Bayes Hoeffding Trees—Hoeffding Trees with naive Bayes models at the leaf nodes—albeit with ...
Pfahringer, Bernhard +7 more
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Review of Anomaly Detection Algorithms for Data Streams
Applied Sciences, 2023 With the rapid development of emerging technologies such as self-media, the Internet of Things, and cloud computing, massive data applications are crossing the threshold of the era of real-time analysis and value realization, which makes data streams ...
Tianyuan Lu, Lei Wang, Xiaoyong Zhao
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