Results 1 to 10 of about 238,473 (148)
Data Stream Mining Applied to Maximum Wind Forecasting in the Canary Islands [PDF]
Sensors, 2019 The Canary Islands are a well known tourist destination with generally stable and clement weather conditions. However, occasionally extreme weather conditions occur, which although very unusual, may cause severe damage to the local economy.
Javier J. Sánchez-Medina +4 more
doaj +2 more sources
PRESEE: An MDL/MML Algorithm to Time-Series Stream Segmenting [PDF]
The Scientific World Journal, 2013 Time-series stream is one of the most common data types in data mining field. It is prevalent in fields such as stock market, ecology, and medical care. Segmentation is a key step to accelerate the processing speed of time-series stream mining.
Kaikuo Xu +4 more
doaj +3 more sources
Employing chunk size adaptation to overcome concept drift [PDF]
Journal of Universal Computer Science, 2022 Modern analytical systems must process streaming data and correctly respond to data distribution changes. The phenomenon of changes in data distributions is called concept drift, and it may harm the quality of the used models.
Jędrzej Kozal +2 more
doaj +3 more sources
An Effective Method for Mining Negative Sequential Patterns From Data Streams
IEEE Access, 2023 Traditional negative sequential patterns(NSPs) mining algorithms are used to mine static dataset which are stored in equipment and can be scanned many times.
Nannan Zhang +2 more
doaj +1 more source
DATA MINING APPLIED FOR DETERMINING STREAM FLOW PERMANENCE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Streamflow permanence is an aspect of great legal importance in Brazil, because streams, depending on their flow regime, are protected or not by law. Various methods, from field methods to computational methods, are used to determine the flow regime of ...
P. Mallmann +6 more
doaj +1 more source
A Survey on Multi-Label Data Stream Classification
IEEE Access, 2020 Nowadays, many real-world applications of our daily life generate massive volume of streaming data at a higher speed than ever before, to name a few, Web clicking data streams, sensor network data and credit transaction streams.
Xiulin Zheng +3 more
doaj +1 more source
Multi-Source Data Stream Online Frequent Episode Mining
IEEE Access, 2020 Online frequent episode mining is more complicated than the traditional static frequent episode mining due to the continuous, unbounded and time-varying data stream.
Tao You +3 more
doaj +1 more source
Context-aware adaptive data stream mining [PDF]
, 2009 In resource-constrained devices, adaptation of data stream processing to variations of data rates and availability of resources is crucial for consistency and continuity of running applications. However, to enhance and maximize the benefits of adaptation,
Gaber, M. +4 more
core +1 more source
Introduction to stream: An Extensible Framework for Data Stream Clustering Research with R
Journal of Statistical Software, 2017 In recent years, data streams have become an increasingly important area of research for the computer science, database and statistics communities. Data streams are ordered and potentially unbounded sequences of data points created by a typically non ...
Michael Hahsler +2 more
doaj +1 more source
IEEE Access, 2019 The traditional data mining method is featured by no analysis over the data distribution and incomplete derived association rule. As a result, the data mining results have the deficiencies of large redundancy probability, large root-mean-square error of ...
Xiaofeng Li, Yanwei Wang, Dong Li
doaj +1 more source