Results 31 to 40 of about 238,473 (148)
Underground mine stream crossing assessment: A multi-disciplinary approach
International Journal of Mining Science and Technology, 2021 Underground mine designs typically try to avoid extraction beneath streams and rivers of any significant size, especially when the overburden rock thickness between the stream bed and the mine is thin. Potential issues with mining beneath streams include
Kevin Andrews, Steve Keim
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Fast Reaction to Sudden Concept Drift in the Absence of Class Labels
Applied Sciences, 2020 A data stream can be considered as a sequence of examples that arrive continuously and are potentially unbounded, such as web page visits, sensor readings and call records.
Osama A. Mahdi +3 more
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Scikit-Multiflow: A Multi-output Streaming Framework
, 2018 Scikit-multiflow is a multi-output/multi-label and stream data mining framework for the Python programming language. Conceived to serve as a platform to encourage democratization of stream learning research, it provides multiple state of the art methods ...
Abdessalem, Talel +3 more
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Apache Mahout’s k-Means vs. fuzzy k-Means performance evaluation [PDF]
, 2016 (c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or ...
Barolli, Leonard +3 more
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Mining data streams using option trees (revised edition, 2004) [PDF]
, 2004 The data stream model for data mining places harsh restrictions on a learning algorithm. A model must be induced following the briefest interrogation of the data, must use only available memory and must update itself over time within these constraints ...
Holmes, Geoffrey +2 more
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Hydrology, 2019 Mine subsidence can induce streambed ruptures that pirate surface water from a stream. Current understanding of the effects of longwall mining on streams lacks rigorous analytical approaches to detect hydrologic effects and does not consider the efficacy
Joshua M. Silvis +3 more
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A New Data-Stream-Mining-Based Battery Equalization Method
Energies, 2015 Balancing battery cells is a key task for battery management systems (BMS). Imbalances of cells decrease the capacity and lifetime of the battery pack.
Cheng Lin, Hao Mu, Li Zhao, Wanke Cao
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A Novel Concept-Cognitive Learning Method for Bird Song Classification
Mathematics, 2023 Bird voice classification is a crucial issue in wild bird protection work. However, the existing strategies of static classification are always unable to achieve the desired outcomes in a dynamic data stream context, as the standard machine learning ...
Jing Lin, Wenkan Wen, Jiyong Liao
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Tree stream mining algorithm with Chernoff-bound and standard deviation approach for big data stream
Journal of Big Data, 2019 We propose a Chernoff-bound approach and examine standard deviation value to enhance the accuracy of the existing fast incremental model tree with the drift detection (FIMT-DD) algorithm.
Ari Wibisono +2 more
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A Cube Analytical Mining Framework for Stream Data
Dianxin kexue, 2014 Stream data has been one of the most significant data format recently. OLAM（online analytical mining） operation could provide multi-level data views for analysts.
Canghong Jin +3 more
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