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Data mining: practical machine learning tools and technique, third edition by Ian H. Witten, Eibe Frank, Mark A. Hell

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ACM SIGSOFT Software Engineering Notes, Volume 36, Issue 5

Pages 51 - 52

https://doi.org/10.1145/2020976.2021004

Published: 30 September 2011 Publication History

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Vinayagam ASuganthi SVenkatramanan CAlateeq AAlassaf AAb Aziz NMansor MMekhilef S(2025)Discrimination of high impedance fault in microgrid power network using semi-supervised machine learning algorithmAin Shams Engineering Journal10.1016/j.asej.2024.10318716:1(103187)Online publication date: Jan-2025
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Ma ZHuang LYang JRen LLi XHe SLiu BLiu A(2024)Transformer-Based Hierarchical Multiscale Feature Fusion Internal Wave Detection and DatasetOcean-Land-Atmosphere Research10.34133/olar.00613Online publication date: 12-Sep-2024
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Chen YChen RLi QFang XLi JWong W(2024)Denoising High-Order Graph Clustering2024 IEEE 40th International Conference on Data Engineering (ICDE)10.1109/ICDE60146.2024.00241(3111-3124)Online publication date: 13-May-2024
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Data mining: practical machine learning tools and technique, third edition by Ian H. Witten, Eibe Frank, Mark A. Hell
1. Computing methodologies
  1. Machine learning
2. Information systems
  1. Information systems applications
    1. Data mining

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cover image ACM SIGSOFT Software Engineering Notes

ACM SIGSOFT Software Engineering Notes Volume 36, Issue 5

September 2011

160 pages

ISSN:0163-5948

DOI:10.1145/2020976

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Association for Computing Machinery

New York, NY, United States

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Published: 30 September 2011

Published in SIGSOFT Volume 36, Issue 5

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Vinayagam ASuganthi SVenkatramanan CAlateeq AAlassaf AAb Aziz NMansor MMekhilef S(2025)Discrimination of high impedance fault in microgrid power network using semi-supervised machine learning algorithmAin Shams Engineering Journal10.1016/j.asej.2024.10318716:1(103187)Online publication date: Jan-2025
https://doi.org/10.1016/j.asej.2024.103187
Ma ZHuang LYang JRen LLi XHe SLiu BLiu A(2024)Transformer-Based Hierarchical Multiscale Feature Fusion Internal Wave Detection and DatasetOcean-Land-Atmosphere Research10.34133/olar.00613Online publication date: 12-Sep-2024
https://doi.org/10.34133/olar.0061
Chen YChen RLi QFang XLi JWong W(2024)Denoising High-Order Graph Clustering2024 IEEE 40th International Conference on Data Engineering (ICDE)10.1109/ICDE60146.2024.00241(3111-3124)Online publication date: 13-May-2024
https://doi.org/10.1109/ICDE60146.2024.00241
Sánchez AVidal-Silva CMancilla GTupac-Yupanqui MRubio J(2023)Sustainable e-Learning by Data Mining—Successful Results in a Chilean UniversitySustainability10.3390/su1502089515:2(895)Online publication date: 4-Jan-2023
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Jo MOh ROh M(2023)Prediction of PM10 concentration in Seoul, Korea using Bayesian networkCommunications for Statistical Applications and Methods10.29220/CSAM.2023.30.5.51730:5(517-530)Online publication date: 30-Sep-2023
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Yin CTang DZhang FTang QFeng YHe Z(2023)Students learning performance prediction based on feature extraction algorithm and attention-based bidirectional gated recurrent unit networkPLOS ONE10.1371/journal.pone.028615618:10(e0286156)Online publication date: 25-Oct-2023
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Wang LWang W(2023)Sensitive Path oriented Malicious data Generation for Web applications2023 6th International Conference on Data Science and Information Technology (DSIT)10.1109/DSIT60026.2023.00009(1-6)Online publication date: 28-Jul-2023
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Abdollahizad SBalafar MFeizizadeh BBabazadeh Sangar ASamadzamini K(2023)Using the integrated application of computational intelligence for landslide susceptibility modeling in East Azerbaijan Province, IranApplied Geomatics10.1007/s12518-023-00488-w15:1(109-125)Online publication date: 16-Jan-2023
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IBRAHIM M(2022)WBBA-KM: A Hybrid Weight-Based Bat Algorithm with K-Means Algorithm For Cluster AnalysisWBBA-KM: A Hybrid Weight-Based Bat Algorithm with K-Means Algorithm For Cluster AnalysisPoliteknik Dergisi10.2339/politeknik.68938425:1(65-73)Online publication date: 1-Mar-2022
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Vinayagam AOthman MVeerasamy VSaravan Balaji SRamaiyan KRadhakrishnan PRaman MAbdul Wahab N(2022)A random subspace ensemble classification model for discrimination of power quality events in solar PV microgrid power networkPLOS ONE10.1371/journal.pone.026257017:1(e0262570)Online publication date: 27-Jan-2022
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