Results 11 to 20 of about 24,371,806 (309)
Resource-aware Mining of Data Streams [PDF]
J. Univers. Comput. Sci., 2005 Upprättat; 2005; 20080228 (cira)
Gaber, M. +2 more
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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 +3 more sources
Sustainability-integrated value stream mapping with process mining
Production and Manufacturing Research: An Open Access JournalValue stream mapping is a well-established tool for analyzing and optimizing value streams in production. In its conventional form, it requires a high level of manual effort and is often inefficient in volatile and high-variance environments. The idea of
Julia Horsthofer-Rauch +6 more
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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
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Data Stream Mining Between Classical and Modern Applications: A Review [PDF]
مجلة التربية والعلم, 2021 Data mining (DM) is an amazing innovation with incredible potential to help organizations centre on the main data in the information they have gathered about the conduct of their clients and expected clients.
Ammar Thaher Yaseen Al Abd Alazeez Al Abd Alazeez
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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
A Data Stream Mining System [PDF]
2008 IEEE International Conference on Data Mining Workshops, 2008 On-line data stream mining has attracted much research interest, but systems that can be used as a workbench for online mining have not been researched, since they pose many difficult research challenges. The proposed system addresses these challenges by an architecture based on three main technical advances, (i) introduction of new constructs and ...
Hetal Thakkar +2 more
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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
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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
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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
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