Results 41 to 50 of about 19,323 (117)
Incremental Updating Algorithm of Parallel Association Rule Based on MapReduce [PDF]
Jisuanji gongcheng, 2016 Under the environment of big data,the traditional association rule mining algorithms have lower efficiency caused by the rapidly increasing data.Aiming at the problem,this paper proposes a parallel incremental updating algorithm of association rules ...
CHENG Guang,WANG Xiaofeng
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Advanced Functional Materials, EarlyView.A Cu‐based crystal‐glass composite with high‐density twins is identified by a fast screening technique using combinatorial sputtering together with XRD and nanoindentation mapping. This bamboo‐like structure demonstrates homogenous plastic flow and retains high strength during in situ high temperature tests, up to 1 GPa at 550°C, owing to those ...
Chunhua Tian +10 more
wiley +1 more source
AlgorithmsThis work focuses on finding frequent patterns in continuous flow network traffic Big Data using incremental frequent pattern mining. A newly created Zeek Conn Log MITRE ATT&CK framework labeled dataset, UWF-ZeekData24, generated using the Cyber Range at
Sikha S. Bagui +4 more
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Advanced Functional Materials, EarlyView.Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
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A related degree-based frequent pattern mining algorithm for railway fault data
High-Speed RailwayIt is of great significance to improve the efficiency of railway production and operation by realizing the fault knowledge association through the efficient data mining algorithm.
Jiaxu Guo +4 more
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A Novel Coverage Pattern Mining Method for Unordered Tree
ITM Web of Conferences, 2017 Unordered tree is widely used for semi-structured data modeling, coverage pattern mining on it has benefit for finding frequent subtrees without redundant information, so that improve the efficiency of subsequent knowledge discovering. A coverage pattern
Xia Ying, Li Hong-Xu
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Artificial Intelligence as the Next Visionary in Liquid Crystal Research
Advanced Functional Materials, EarlyView.The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam +2 more
wiley +1 more source
Algorithms for Extracting Frequent Episodes in the Process of Temporal Data Mining [PDF]
Informatică economică, 2010 An important aspect in the data mining process is the discovery of patterns having a great influence on the studied problem. The purpose of this paper is to study the frequent episodes data mining through the use of parallel pattern discovery algorithms.
Alexandru PIRJAN
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Enabling Far-Edge Analytics: Performance Profiling of Frequent Pattern Mining Algorithms
IEEE Access, 2017 Far-edge analytics refers to the enablement of data mining algorithms in far-edge mobile devices that are part of mobile edge cloud computing (MECC) systems.
Khubaib Amjad Alam +2 more
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Advanced Functional Materials, EarlyView.This work introduces UV‐curable poly(thio)urethane (PSU) thermosets as 4D printable scaffolds responsive to oxidative stress. PSU networks with 100 wt.% polypropylene glycol (PPG) effectively suppress inflammatory markers in microglial cells to basal values.
Xabier Lopez de Pariza +10 more
wiley +1 more source