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233,828 results

1. Data mining versus manual screening to select papers for inclusion in systematic reviews: a novel method to increase efficiency.

Author

Ierardi E, Eilbeck JC, van Wijck F, Ali M, and Coupar F

Subjects
Humans, Systematic Reviews as Topic, Algorithms, Data Mining
Abstract

Systematic reviews rely on identification of studies, initially through electronic searches yielding potentially thousands of studies, and then reviewer-led screening studies for inclusion. This standard method is time- and resource-intensive. We designed and applied an algorithm written in Python involving computer-aided identification of keywords within each paper for an exemplar systematic review of arm impairment after stroke. The standard method involved reading each abstract searching for these keywords. We compared the methods in terms of accuracy in identification of keywords, abstracts' eligibility, and time taken to make a decision about eligibility. For external validation, we adapted the algorithm for a different systematic review, and compared eligible studies using the algorithm with those included in that review. For the exemplar systematic review, the algorithm failed on 72 out of 2,789 documents retrieved (2.6%). Both methods identified the same 610 studies for inclusion. Based on a sample of 21 randomly selected abstracts, the standard screening took 1.58 ± 0.26 min per abstract. Computer output screening took 0.43 ± 0.14 min per abstract. The mean difference between the two methods was 1.15 min ( P  < 0.0001), saving 73% per abstract. For the other systematic review, use of the algorithm resulted in the same studies being identified. One study was excluded based on the interpretation of the comparison intervention. Our purpose-built software was an accurate and significantly time-saving method for identifying eligible abstracts for inclusion in systematic reviews. This novel method could be adapted for other systematic reviews in future for the benefit of authors, reviewers and editors., (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)

Published
2023
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3. Lead–lag effect of research between conference papers and journal papers in data mining.

Author

Huang, Yue and Tian, Runyu

Abstract

The examination of the lead–lag effect between different publication types, incorporating a temporal dimension, is very significant for assessing research. In this article, we introduce a novel framework to quantify the lead–lag effect between the research topics of conference papers and journal papers. We first identify research topics via the text‐embedding‐based topic modeling technique BERTopic, then extract the research topics of each time slice, construct and visualize the similarity matrix of topics to reveal the time‐lag direction and finally quantify the lead–lag effect by four proposed indicators, as well as by average influence topic similarity comparison maps. We conduct a detailed analysis of 19,166 bibliographic data for top conference papers and journal papers from 2015 to 2019 in the data mining field, calculate the similarity of topics obtained by BERTopic between each time slice divided by quarters. The results show that journal paper topics lag behind conference paper topics in the data mining field. The most significant lead–lag effect is 2.5 years, with approximately 33.45% of topics affected by this lag. The methodology presented here holds potential for broader application in the analysis of lead–lag effects across diverse research areas, offering valuable insights into the state of research development and informing policy decisions. This article is categorized under:Application Areas > Science and Technology [ABSTRACT FROM AUTHOR]

Published
2024
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4. Automatically classifying the evidence type of drug-drug interaction research papers as a step toward computer supported evidence curation.

Author

Hoang L, Boyce RD, Bosch N, Stottlemyer B, Brochhausen M, and Schneider J

Subjects
Computers, Data Mining statistics & numerical data, Humans, Natural Language Processing, Pilot Projects, Data Mining methods, Databases, Factual statistics & numerical data, Drug Interactions, Machine Learning, Publications
Abstract

A longstanding issue with knowledge bases that discuss drug-drug interactions (DDIs) is that they are inconsistent with one another. Computerized support might help experts be more objective in assessing DDI evidence. A requirement for such systems is accurate automatic classification of evidence types. In this pilot study, we developed a hierarchical classifier to classify clinical DDI studies into formally defined evidence types. The area under the ROC curve for sub-classifiers in the ensemble ranged from 0.78 to 0.87. The entire system achieved an F1 of 0.83 and 0.63 on two held-out datasets, the latter consisting focused on completely novel drugs from what the system was trained on. The results suggest that it is feasible to accurately automate the classification of a sub-set of DDI evidence types and that the hierarchical approach shows promise. Future work will test more advanced feature engineering techniques while expanding the system to classify a more complex set of evidence types., (©2020 AMIA - All rights reserved.)

Published
2021

6. Periodic Frequent Pattern Mining with Consideration of Periodic Improvements for Business Promotion

Author

Datta, Atreyee, Mali, Kalyani, Datta, Subrata, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Bhattacharya, Abhishek, editor, Dutta, Soumi, editor, Dutta, Paramartha, editor, and Samanta, Debabrata, editor

Published
2024
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8. Development of a Technical Solution Concept for Process and Data Mining in Organizations Focused and Applied on E-Mail Processes

Author

Dolle, Nicolas, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kabashkin, Igor, editor, Yatskiv, Irina, editor, and Prentkovskis, Olegas, editor

Published
2024
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9. A Meta-data Based Feature Selection Mechanism to Identify Suspicious Reviews

Author

Boparai, Rajdavinder Singh, Bhatia, Rekha, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Challa, Rama Krishna, editor, Aujla, Gagangeet Singh, editor, Mathew, Lini, editor, Kumar, Amod, editor, Kalra, Mala, editor, Shimi, S. L., editor, Saini, Garima, editor, and Sharma, Kanika, editor

Published
2024
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10. A Year of Papers Using Biomedical Texts.

Author

Grouin C and Grabar N

Subjects
Information Storage and Retrieval methods, Data Mining methods, Electronic Health Records, Natural Language Processing
Abstract

Objectives: Analyze papers published in 2019 within the medical natural language processing (NLP) domain in order to select the best works of the field., Methods: We performed an automatic and manual pre-selection of papers to be reviewed and finally selected the best NLP papers of the year. We also propose an analysis of the content of NLP publications in 2019., Results: Three best papers have been selected this year including the generation of synthetic record texts in Chinese, a method to identify contradictions in the literature, and the BioBERT word representation., Conclusions: The year 2019 was very rich and various NLP issues and topics were addressed by research teams. This shows the will and capacity of researchers to move towards robust and reproducible results. Researchers also prove to be creative in addressing original issues with relevant approaches., Competing Interests: Disclosure The authors report no conflicts of interest in this work., (Georg Thieme Verlag KG Stuttgart.)

Published
2020
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12. The evolution of Health & Place: Text mining papers published between 1995 and 2018.

Author

Green MA, Widener M, Pollock FD, and Pearce J

Subjects
Diet, Humans, Life Style, Data Mining, Environment Design, Health Status, Residence Characteristics
Abstract

We examine trends in words/terms published in Health & Place between 1995 and 2018. Terms used have diversified over this period, including a decline in 'health' overall, as well as greater usage of 'diet', 'alcohol' and 'depression'. There was a noticeable increase in using 'neighbourhood' to describe context. Topic modelling reveals that papers are increasingly concerned with specific aspects of place (e.g. the built environment). Our findings emphasise that Health & Place has matured into the leading outlet for examining the geographical dimensions of health with important and enduring insights that continue to inform research and policy., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Published
2020
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14. A First Literature Study on Predictive Quality in Use Evaluation for Smart Environments

Author

Angeloni, Maria Paula Corrêa, de Oliveira, Káthia Marçal, Strugeon, Emmanuelle Grislin-Le, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, van Leeuwen, Jan, Series Editor, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Kobsa, Alfred, Series Editor, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Nierstrasz, Oscar, Series Editor, Pandu Rangan, C., Editorial Board Member, Sudan, Madhu, Series Editor, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Deshpande, R.D., Series Editor, Vardi, Moshe Y, Series Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Harrison, Michael, editor, Martinie, Célia, editor, Micallef, Nicholas, editor, Palanque, Philippe, editor, Schmidt, Albrecht, editor, Winckler, Marco, editor, Yigitbas, Enes, editor, and Zaina, Luciana, editor

Published
2024
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17. Fuzzy Association Rule Mining Techniques and Applications

Author

Sarma, Rajkamal, Sarma, Pankaj Kumar Deva, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Das, Prodipto, editor, Begum, Shahin Ara, editor, and Buyya, Rajkumar, editor

Published
2024
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18. Scholar Influence Maximization via Opinion Leader and Graph Embedding Regression in Social Networks

Author

Lin, Junjie, Liang, Wanying, Chen, Gangbin, Chen, Guohua, Tang, Yong, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Sun, Yuqing, editor, Lu, Tun, editor, Wang, Tong, editor, Fan, Hongfei, editor, Liu, Dongning, editor, and Du, Bowen, editor

Published
2024
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19. Parallel High Utility Itemset Mining Algorithm on the Spark

Author

Li, Chengyan, Zhang, Lei, Sun, Anqi, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Sun, Yuqing, editor, Lu, Tun, editor, Wang, Tong, editor, Fan, Hongfei, editor, Liu, Dongning, editor, and Du, Bowen, editor

Published
2024
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20. Exploring Relationships Between Data in Enterprise Information Systems by Analysis of Log Contents

Author

Korzeniowski, Łukasz, Goczyła, Krzysztof, van der Aalst, Wil, Series Editor, Ram, Sudha, Series Editor, Rosemann, Michael, Series Editor, Szyperski, Clemens, Series Editor, Guizzardi, Giancarlo, Series Editor, Jarzębowicz, Aleksander, editor, Luković, Ivan, editor, Przybyłek, Adam, editor, Staroń, Mirosław, editor, Ahmad, Muhammad Ovais, editor, and Ochodek, Mirosław, editor

Published
2024
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22. Heart Attack Prediction Using Big Data Analytics

Author

Akalya, A., Swedha, V., Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Carette, Jacques, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Stettner, Lukasz, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Rettberg, Achim, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Owoc, Mieczyslaw Lech, editor, Varghese Sicily, Felix Enigo, editor, Rajaram, Kanchana, editor, and Balasundaram, Prabavathy, editor

Published
2024
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23. Topic Modelling and Interpretable Cost Estimation for Medical Insurance Fraud Detection

Author

Kemp, James, Barker, Christopher, Good, Norm, Bain, Michael, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Moita, Ana, editor, Bühler, Katja, editor, Ali, Hesham, editor, Deng, Ning, editor, Chouvarda, Ioanna, editor, Cabitza, Federico, editor, Fred, Ana, editor, and Gamboa, Hugo, editor

Published
2024
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25. Machine Learning Models for Identifying Patterns in GNSS Meteorological Data

Author

Alvarez-Castillo, Luis Fernando, Torres-Carrión, Pablo, Serrano-Agila, Richard, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Botto-Tobar, Miguel, editor, Zambrano Vizuete, Marcelo, editor, Montes León, Sergio, editor, Torres-Carrión, Pablo, editor, and Durakovic, Benjamin, editor

Published
2024
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26. Harnessing Advanced Techniques for Image Steganography: Sequential and Random Encoding with Deep Learning Detection

Author

Al Zakitat, Mustafa Ali Sahib, Abdulrazzaq, Mohammed Majid, Ramaha, Nehad T. A., Mukhlif, Yasir Adil, Ismael, Omar ayad, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, García Márquez, Fausto Pedro, editor, Jamil, Akhtar, editor, Hameed, Alaa Ali, editor, and Segovia Ramírez, Isaac, editor

Published
2024
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27. Revisiting Class Imbalance: A Generalized Notion for Oversampling

Author

Velayuthan, Purushoth, Karunasingha, Navodika, Nagahawaththa, Hasalanka, Jayasekara, Buddhi G., Hevapathige, Asela, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Garg, Deepak, editor, Rodrigues, Joel J. P. C., editor, Gupta, Suneet Kumar, editor, Cheng, Xiaochun, editor, Sarao, Pushpender, editor, and Patel, Govind Singh, editor

Published
2024
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28. Temporal Contrast Sets Mining

Author

Orabi, Mariam, Al Aghbari, Zaher, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Patel, Kanubhai K., editor, Santosh, KC, editor, and Patel, Atul, editor

Published
2024
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29. Using Data Mining Techniques to Analyze Facial Expression Motion Vectors

Author

Roshanzamir, Mohamad, Alizadehsani, Roohallah, Roshanzamir, Mahdi, Shoeibi, Afshin, Gorriz, Juan M., Khosravi, Abbas, Nahavandi, Saeid, Acharya, U. Rajendra, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Moosaei, Hossein, editor, Hladík, Milan, editor, and Pardalos, Panos M., editor

Published
2024
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30. An Introduction to KDB: Knowledge Discovery in Biodiversity

Author

Ghosh, Moumita, Mondal, Sourav, Roy, Anirban, Mondal, Kartick Chandra, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Dasgupta, Kousik, editor, Mukhopadhyay, Somnath, editor, Mandal, Jyotsna K., editor, and Dutta, Paramartha, editor

Published
2024
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31. Towards the Construction of an Emotion Analysis Model in University Students Using Images Taken in Classrooms

Author

Atehortúa Zapata, Jader Daniel, Cano Duque, Santiago, Forero Hincapié, Santiago, Hernández-Leal, Emilcy, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Tabares, Marta, editor, Vallejo, Paola, editor, Suarez, Biviana, editor, Suarez, Marco, editor, Ruiz, Oscar, editor, and Aguilar, Jose, editor

Published
2024
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32. Data Clustering Using Tangent Search Algorithm

Author

Bechiri, Karim, Layeb, Abdesslam, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Bennour, Akram, editor, Bouridane, Ahmed, editor, and Chaari, Lotfi, editor

Published
2024
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33. The plan to mine the world's research papers.

Author

Pulla P

Subjects
Big Data economics, Data Mining trends, Datasets as Topic economics, Datasets as Topic legislation & jurisprudence, India, Open Access Publishing economics, Research Report, Unsupervised Machine Learning legislation & jurisprudence, Unsupervised Machine Learning trends, Big Data supply & distribution, Data Mining methods, Datasets as Topic supply & distribution, Information Dissemination legislation & jurisprudence, Information Dissemination methods, Open Access Publishing legislation & jurisprudence, Research
Published
2019
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34. Incidences of problematic cell lines are lower in papers that use RRIDs to identify cell lines.

Author

Babic Z, Capes-Davis A, Martone ME, Bairoch A, Ozyurt IB, Gillespie TH, and Bandrowski AE

Subjects
Cell Line, Humans, Periodicals as Topic, PubMed, Bibliometrics, Biomedical Research standards, Cell Line Authentication statistics & numerical data, Data Mining methods
Abstract

The use of misidentified and contaminated cell lines continues to be a problem in biomedical research. Research Resource Identifiers (RRIDs) should reduce the prevalence of misidentified and contaminated cell lines in the literature by alerting researchers to cell lines that are on the list of problematic cell lines, which is maintained by the International Cell Line Authentication Committee (ICLAC) and the Cellosaurus database. To test this assertion, we text-mined the methods sections of about two million papers in PubMed Central, identifying 305,161 unique cell-line names in 150,459 articles. We estimate that 8.6% of these cell lines were on the list of problematic cell lines, whereas only 3.3% of the cell lines in the 634 papers that included RRIDs were on the problematic list. This suggests that the use of RRIDs is associated with a lower reported use of problematic cell lines., Competing Interests: ZB, TG No competing interests declared, AC runs the cell bank in Australia and heads the ICLAC consortium. MM, AB heads the RRID project, and founded SciCrunch, a company that supports the RRID project. AB develops the Cellosaurus database. IO works as a consultant for SciCrunch., (© 2019, Babic et al.)

Published
2019
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35. Artificial intelligence for knowledge management : second IFIP WG 12.6 International Workshop, AI4KM 2014, Warsaw, Poland, September 7-10, 2014, revised selected papers.

Author

Boulanger, Danielle, Mercier-Laurent, Eunika, and Owoc, Mieczysław Lech

Subjects
Artificial intelligence, Data mining, Database management, Knowledge management
Abstract

Summary: This book features a selection of papers presented at the Second IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2014, held in Wroclaw, Poland, in September 2014, in the framework of the Federated Conferences on Computer Science and Information Systems, FedCSIS 2014. The 9 revised and extended papers and one invited paper were carefully reviewed and selected for inclusion in this volume. They present new research and innovative aspects in the field of knowledge management and are organized in the following topical sections: tools and methods for knowledge acquisition; models and functioning of knowledge management; techniques of artificial intelligence supporting knowlege management; and components of knowledge flow.

Published
2016

36. Text Mining Metal-Organic Framework Papers.

Author

Park S, Kim B, Choi S, Boyd PG, Smit B, and Kim J

Subjects
Natural Language Processing, Porosity, Surface Properties, Data Mining methods, Metal-Organic Frameworks chemistry
Abstract

We have developed a simple text mining algorithm that allows us to identify surface area and pore volumes of metal-organic frameworks (MOFs) using manuscript html files as inputs. The algorithm searches for common units (e.g., m 2 /g, cm 3 /g) associated with these two quantities to facilitate the search. From the sample set data of over 200 MOFs, the algorithm managed to identify 90% and 88.8% of the correct surface area and pore volume values. Further application to a test set of randomly chosen MOF html files yielded 73.2% and 85.1% accuracies for the two respective quantities. Most of the errors stem from unorthodox sentence structures that made it difficult to identify the correct data as well as bolded notations of MOFs (e.g., 1a) that made it difficult identify its real name. These types of tools will become useful when it comes to discovering structure-property relationships among MOFs as well as collecting a large set of data for references.

Published
2018
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38. Mining and Analysis of Search Interests Related to Online Learning Platforms from Different Countries Since the Beginning of COVID-19

Author

Thakur, Nirmalya, Khanna, Karam, Cui, Shuqi, Azizi, Nazif, Liu, Zihui, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Zaphiris, Panayiotis, editor, Ioannou, Andri, editor, Sottilare, Robert A., editor, Schwarz, Jessica, editor, Fui-Hoon Nah, Fiona, editor, Siau, Keng, editor, Wei, June, editor, and Salvendy, Gavriel, editor

Published
2023
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39. Novel Taxonomy for E-learning Recommender System Using Opinion Mining

Author

Kalpana, Chauhan, Shardul Singh, Singh, Mahesh Kumar, Bagoria, Renu, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Garg, Deepak, editor, Narayana, V. A., editor, Suganthan, P. N., editor, Anguera, Jaume, editor, Koppula, Vijaya Kumar, editor, and Gupta, Suneet Kumar, editor

Published
2023
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41. Machine Learning in Health and Wellness Tourism

Author

Ramos, Célia M. Q., Ashqar, Rashed Isam, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Zaphiris, Panayiotis, editor, Ioannou, Andri, editor, Sottilare, Robert A., editor, Schwarz, Jessica, editor, Fui-Hoon Nah, Fiona, editor, Siau, Keng, editor, Wei, June, editor, and Salvendy, Gavriel, editor

Published
2023
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42. Mining Totally Ordered Sequential Rules to Provide Timely Recommendations

Author

Dalla Vecchia, Anna, Marastoni, Niccolò, Migliorini, Sara, Oliboni, Barbara, Quintarelli, Elisa, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Abelló, Alberto, editor, Vassiliadis, Panos, editor, Romero, Oscar, editor, Wrembel, Robert, editor, Bugiotti, Francesca, editor, Gamper, Johann, editor, Vargas Solar, Genoveva, editor, and Zumpano, Ester, editor

Published
2023
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43. Automatic Discovery of Zones of Interests with Maritime Trajectory Mining

Author

Ghannou, Omar, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Abelló, Alberto, editor, Vassiliadis, Panos, editor, Romero, Oscar, editor, Wrembel, Robert, editor, Bugiotti, Francesca, editor, Gamper, Johann, editor, Vargas Solar, Genoveva, editor, and Zumpano, Ester, editor

Published
2023
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44. An Enhanced Optimize Outlier Detection Using Different Machine Learning Classifier

Author

Mishra, Himanee, Gupta, Chetan, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Bhattacharya, Abhishek, editor, Dutta, Soumi, editor, Dutta, Paramartha, editor, and Piuri, Vincenzo, editor

Published
2023
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45. Towards Abalone Differentiation Through Machine Learning

Author

Barrera-Hernandez, Ruben, Barrera-Soto, Viridiana, Martinez-Rodriguez, Jose L., Rios-Alvarado, Ana B., Ortiz-Rodriguez, Fernando, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Jabbar, M. A., editor, Ortiz-Rodríguez, Fernando, editor, Tiwari, Sanju, editor, and Siarry, Patrick, editor

Published
2023
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47. Detection of Suicidal Intentions of Tunisians via Facebook

Author

Nasri, Jihen, Jamoussi, Salma, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, and Gelbukh, Alexander, editor

Published
2023
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48. Ontology-Based Data Mining Platform for Diagnosing Sowing Quality of Wheat Seeds

Author

Baryshev, Denis, Barysheva, Nadezhda, Avdeeva, Ekaterina, Pronin, Sergey, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Jordan, Vladimir, editor, Tarasov, Ilya, editor, Shurina, Ella, editor, Filimonov, Nikolay, editor, and Faerman, Vladimir, editor

Published
2023
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49. 基于机器阅读理解的论文 辅助阅读系统构建.

Author

秘蓉新, 姚文文, and 阮宏坤

Subjects
*LANGUAGE models, *SCIENTIFIC literature, *LITERATURE reviews, *DATA mining, *READING comprehension
Abstract

In the era of informatization and digitization, the rapid increase in the number of scientific papers has given rise to various challenges, such as lengthy articles, difficulty in information extraction and high time costs associated with reading. Literature reading challenges for researchers are increasingly tedious and time-consuming. By utilizing the language models, the assited reading system of scientific papers has been designed to address these challenges. By adopting machine reading comprehension technology as the core, the system parses scientific texts and offers some common questions to achieve automated response capabilities. By fully utilizing the pre-trained language model PERT, the system enhances its capabilities in semantic understanding and information extraction, effectively resolving various challenges in reading scientific papers and helping readers improve the efficiency of scientific literature review. [ABSTRACT FROM AUTHOR]

Published
2024
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50. Identification of data mining research frontier based on conference papers

Author

Yue Huang, Hu Liu, and Jing Pan

Subjects
data mining, bibliometrics, citespace, conference papers, research frontier, Technology, Engineering (General). Civil engineering (General), TA1-2040
Abstract

PurposeIdentifying the frontiers of a specific research field is one of the most basic tasks in bibliometrics and research published in leading conferences is crucial to the data mining research community, whereas few research studies have focused on it. The purpose of this study is to detect the intellectual structure of data mining based on conference papers.Design/methodology/approachThis study takes the authoritative conference papers of the ranking 9 in the data mining field provided by Google Scholar Metrics as a sample. According to paper amount, this paper first detects the annual situation of the published documents and the distribution of the published conferences. Furthermore, from the research perspective of keywords, CiteSpace was used to dig into the conference papers to identify the frontiers of data mining, which focus on keywords term frequency, keywords betweenness centrality, keywords clustering and burst keywords.FindingsResearch showed that the research heat of data mining had experienced a linear upward trend during 2007 and 2016. The frontier identification based on the conference papers showed that there were five research hotspots in data mining, including clustering, classification, recommendation, social network analysis and community detection. The research contents embodied in the conference papers were also very rich.Originality/valueThis study detected the research frontier from leading data mining conference papers. Based on the keyword co-occurrence network, from four dimensions of keyword term frequency, betweeness centrality, clustering analysis and burst analysis, this paper identified and analyzed the research frontiers of data mining discipline from 2007 to 2016.

Published
2021
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