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1
Practical Text Mining and Statistical Analysis for Non-Structured Text Data Applications
Practical Text Mining and Statistical Analysis for Non-Structured Text Data Applications
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Practical Text Mining and Statistical Analysis for Non-Structured Text Data Applications

ISBN: 9780123869791 ;ISBN: 012386979X ;EISBN: 9780123870117 ;EISBN: 0123870119 ;DOI: 10.1016/C2010-0-66188-8 ;OCLC: 773566730 ;LCCallNum: QA76.9.D343 P73 2012eb

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2
Information Retrieval and Text Mining Technologies for Chemistry
Information Retrieval and Text Mining Technologies for Chemistry
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Information Retrieval and Text Mining Technologies for Chemistry

info:eu-repo/semantics/openAccess ;ISSN: 0009-2665 ;EISSN: 1520-6890 ;DOI: 10.1021/acs.chemrev.6b00851

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3
Predicting Patient Length of Stay in Australian Emergency Departments Using Data Mining
Predicting Patient Length of Stay in Australian Emergency Departments Using Data Mining
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Predicting Patient Length of Stay in Australian Emergency Departments Using Data Mining

Sensors (Basel, Switzerland), 2022-06, Vol.22 (13), p.4968 [Peer Reviewed Journal]

2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22134968 ;PMID: 35808458

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4
River suspended sediment load prediction based on river discharge information: application of newly developed data mining models
River suspended sediment load prediction based on river discharge information: application of newly developed data mining models
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River suspended sediment load prediction based on river discharge information: application of newly developed data mining models

Hydrological sciences journal, 2020-03, Vol.65 (4), p.624-637 [Peer Reviewed Journal]

2020 IAHS 2020 ;2020 IAHS ;ISSN: 0262-6667 ;EISSN: 2150-3435 ;DOI: 10.1080/02626667.2019.1703186

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5
Internet of Things: A Review of Surveys Based on Context Aware Intelligent Services
Internet of Things: A Review of Surveys Based on Context Aware Intelligent Services
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Internet of Things: A Review of Surveys Based on Context Aware Intelligent Services

Sensors, 2016-07, Vol.16 (7), p.1069 [Peer Reviewed Journal]

Copyright MDPI AG 2016 ;2016 by the authors; licensee MDPI, Basel, Switzerland. 2016 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s16071069 ;PMID: 27409623

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6
Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning
Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning
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Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning

PloS one, 2016-07, Vol.11 (7), p.e0158248-e0158248 [Peer Reviewed Journal]

COPYRIGHT 2016 Public Library of Science ;COPYRIGHT 2016 Public Library of Science ;2016 de Souza et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2016 de Souza et al 2016 de Souza et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0158248 ;PMID: 27367425

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7
Best Match: New relevance search for PubMed
Best Match: New relevance search for PubMed
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Best Match: New relevance search for PubMed

PLoS biology, 2018-08, Vol.16 (8), p.e2005343-e2005343 [Peer Reviewed Journal]

This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1545-7885 ;ISSN: 1544-9173 ;EISSN: 1545-7885 ;DOI: 10.1371/journal.pbio.2005343 ;PMID: 30153250

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8
Reviewer bias in single- versus double-blind peer review
Reviewer bias in single- versus double-blind peer review
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Reviewer bias in single- versus double-blind peer review

Proceedings of the National Academy of Sciences - PNAS, 2017-11, Vol.114 (48), p.12708-12713 [Peer Reviewed Journal]

Volumes 1–89 and 106–114, copyright as a collective work only; author(s) retains copyright to individual articles ;Copyright © 2017 the Author(s). Published by PNAS. ;Copyright National Academy of Sciences Nov 28, 2017 ;Copyright © 2017 the Author(s). Published by PNAS. 2017 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1707323114 ;PMID: 29138317

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9
From genomics to metabolomics, moving toward an integrated strategy for the discovery of fungal secondary metabolites
From genomics to metabolomics, moving toward an integrated strategy for the discovery of fungal secondary metabolites
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From genomics to metabolomics, moving toward an integrated strategy for the discovery of fungal secondary metabolites

Natural product reports, 2018-01, Vol.35 (2), p.147-173 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0265-0568 ;EISSN: 1460-4752 ;DOI: 10.1039/c7np00032d ;PMID: 29384544

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10
Predicting Student Performance Using Data Mining and Learning Analytics Techniques: A Systematic Literature Review
Predicting Student Performance Using Data Mining and Learning Analytics Techniques: A Systematic Literature Review
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Predicting Student Performance Using Data Mining and Learning Analytics Techniques: A Systematic Literature Review

Applied sciences, 2021-01, Vol.11 (1), p.237 [Peer Reviewed Journal]

2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app11010237

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11
Mining version history to predict the class instability
Mining version history to predict the class instability
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Mining version history to predict the class instability

PloS one, 2019-09, Vol.14 (9), p.e0221780-e0221780 [Peer Reviewed Journal]

COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Hussain et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 Hussain et al 2019 Hussain et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0221780 ;PMID: 31525204

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12
Rapid Screening and Identification of Daidzein Metabolites in Rats Based on UHPLC-LTQ-Orbitrap Mass Spectrometry Coupled with Data-Mining Technologies
Rapid Screening and Identification of Daidzein Metabolites in Rats Based on UHPLC-LTQ-Orbitrap Mass Spectrometry Coupled with Data-Mining Technologies
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Rapid Screening and Identification of Daidzein Metabolites in Rats Based on UHPLC-LTQ-Orbitrap Mass Spectrometry Coupled with Data-Mining Technologies

Molecules (Basel, Switzerland), 2018-01, Vol.23 (1), p.151 [Peer Reviewed Journal]

Copyright MDPI AG 2018 ;2018 by the authors. 2018 ;ISSN: 1420-3049 ;EISSN: 1420-3049 ;DOI: 10.3390/molecules23010151 ;PMID: 29329272

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13
Mining Twitter to Assess the Public Perception of the "Internet of Things"
Mining Twitter to Assess the Public Perception of the "Internet of Things"
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Mining Twitter to Assess the Public Perception of the "Internet of Things"

PloS one, 2016-07, Vol.11 (7), p.e0158450-e0158450 [Peer Reviewed Journal]

COPYRIGHT 2016 Public Library of Science ;COPYRIGHT 2016 Public Library of Science ;2016 Bian et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2016 Bian et al 2016 Bian et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0158450 ;PMID: 27391760

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14
Integrated Solid-Phase Extraction, Ultra-High-Performance Liquid Chromatography-Quadrupole-Orbitrap High-Resolution Mass Spectrometry, and Multidimensional Data-Mining Techniques to Unravel the Metabolic Network of Dehydrocostus Lactone in Rats
Integrated Solid-Phase Extraction, Ultra-High-Performance Liquid Chromatography-Quadrupole-Orbitrap High-Resolution Mass Spectrometry, and Multidimensional Data-Mining Techniques to Unravel the Metabolic Network of Dehydrocostus Lactone in Rats
Material Type:
Article 		Add to My Research

Integrated Solid-Phase Extraction, Ultra-High-Performance Liquid Chromatography-Quadrupole-Orbitrap High-Resolution Mass Spectrometry, and Multidimensional Data-Mining Techniques to Unravel the Metabolic Network of Dehydrocostus Lactone in Rats

Molecules (Basel, Switzerland), 2022-11, Vol.27 (22), p.7688 [Peer Reviewed Journal]

COPYRIGHT 2022 MDPI AG ;2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 by the authors. 2022 ;ISSN: 1420-3049 ;EISSN: 1420-3049 ;DOI: 10.3390/molecules27227688 ;PMID: 36431789

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15
Machine-Learning Methods for Computational Science and Engineering
Machine-Learning Methods for Computational Science and Engineering
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Machine-Learning Methods for Computational Science and Engineering

Computation, 2020-03, Vol.8 (1), p.15 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-3197 ;EISSN: 2079-3197 ;DOI: 10.3390/computation8010015

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16
Automatic extraction of gene-disease associations from literature using joint ensemble learning
Automatic extraction of gene-disease associations from literature using joint ensemble learning
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Automatic extraction of gene-disease associations from literature using joint ensemble learning

PloS one, 2018-07, Vol.13 (7), p.e0200699-e0200699 [Peer Reviewed Journal]

COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Bhasuran, Natarajan. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2018 Bhasuran, Natarajan 2018 Bhasuran, Natarajan ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0200699 ;PMID: 30048465

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17
Multi-population Black Hole Algorithm for the problem of data clustering
Multi-population Black Hole Algorithm for the problem of data clustering
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Multi-population Black Hole Algorithm for the problem of data clustering

PloS one, 2023-07, Vol.18 (7), p.e0288044-e0288044 [Peer Reviewed Journal]

Copyright: © 2023 Salih et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;COPYRIGHT 2023 Public Library of Science ;2023 Salih et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2023 Salih et al 2023 Salih et al ;2023 Salih et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0288044 ;PMID: 37406006

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18
A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists
A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists
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Article 		Add to My Research

A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists

Water resources research, 2018-11, Vol.54 (11), p.8558-8593 [Peer Reviewed Journal]

2018. The Authors. ;2018. American Geophysical Union. All rights reserved. ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1029/2018WR022643

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19
Deep learning with word embeddings improves biomedical named entity recognition
Deep learning with word embeddings improves biomedical named entity recognition
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Article 		Add to My Research

Deep learning with word embeddings improves biomedical named entity recognition

Bioinformatics (Oxford, England), 2017-07, Vol.33 (14), p.i37-i48 [Peer Reviewed Journal]

The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com ;The Author 2017. Published by Oxford University Press. 2017 ;ISSN: 1367-4803 ;EISSN: 1367-4811 ;DOI: 10.1093/bioinformatics/btx228 ;PMID: 28881963

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20
Model-Based Methods in the Biopharmaceutical Process Lifecycle
Model-Based Methods in the Biopharmaceutical Process Lifecycle
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Model-Based Methods in the Biopharmaceutical Process Lifecycle

Pharmaceutical research, 2017-12, Vol.34 (12), p.2596-2613 [Peer Reviewed Journal]

The Author(s) 2017 ;COPYRIGHT 2017 Springer ;Pharmaceutical Research is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 0724-8741 ;EISSN: 1573-904X ;DOI: 10.1007/s11095-017-2308-y ;PMID: 29168076

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