PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
2017 IEEE International Conference on Big Data (Big Data)10.1109/bigdata.2017.82579052017TextScope: Enhance human perception via text miningChengXiang Zhaihttp://xplorestaging.ieee.org/ielx7/8241556/8257893/08257905.pdf?arnumber=8257905
Predictive Analytics, Data Mining and Big Data10.1057/9781137379283_92014179-193Text Mining and Social Network AnalysisSteven Finlayhttp://link.springer.com/content/pdf/10.1057/9781137379283_9
2020 IEEE International Conference on Big Data (Big Data)10.1109/bigdata50022.2020.93782262020Accelerating Text Mining Using Domain-Specific Stop Word ListsFarah Alshanik, Amy Apon, Alexander Herzog, Ilya Safro, Justin Sybrandthttp://xplorestaging.ieee.org/ielx7/9377717/9377728/09378226.pdf?arnumber=9378226
2021 IEEE International Conference on Big Data (Big Data)10.1109/bigdata52589.2021.96716682021Text Mining Algorithms for Cancer DiagnosticsNatasia Fernandez, Vaibhav Anuhttp://xplorestaging.ieee.org/ielx7/9671263/9671273/09671668.pdf?arnumber=9671668
Artificial Intelligence and Big Data Analytics for Smart Healthcare10.1016/b978-0-12-822060-3.00016-4202125-46Big data infrastructure: data mining, text mining, and citation context analysis in scientific literatureUsman Ahmad, Mohammed Alsaqer, Salem Alelyani, Iqra Safder, Sehrish Iqbal, Saeed-Ul Hassan, Naif Radi Aljohanihttps://api.elsevier.com/content/article/PII:B9780128220603000164?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:B9780128220603000164?httpAccept=text/plain
Journal of Big Data10.1186/s40537-017-0077-4201741Analysis of agriculture data using data mining techniques: application of big dataJharna Majumdar, Sneha Naraseeyappa, Shilpa Ankalakihttp://link.springer.com/content/pdf/10.1186/s40537-017-0077-4.pdf, http://link.springer.com/article/10.1186/s40537-017-0077-4/fulltext.html, http://link.springer.com/content/pdf/10.1186/s40537-017-0077-4.pdf
Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications10.1016/b978-0-12-386979-1.00013-x2012251-271Analysis of Survey Data for Establishing “Best Medical Survey Instrument” Using Text MiningJeremy LaMotte, Ruth Moore, Sanjay Thomas, Chris Jenkins, Linda A. Minerhttps://api.elsevier.com/content/article/PII:B978012386979100013X?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:B978012386979100013X?httpAccept=text/plain
Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications10.1016/b978-0-12-386979-1.00012-82012233-249Analysis of Survey Data for Establishing the “Best Medical Survey Instrument” Using Text MiningJeremy LaMotte, Ruth Moore, Sanjay Thomas, Chris Jenkins, Linda A. Minerhttps://api.elsevier.com/content/article/PII:B9780123869791000128?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:B9780123869791000128?httpAccept=text/plain
Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications10.1016/b978-0-12-386979-1.00015-32012357-374Text Mining for Patterns in Children’s Sleep Disorders Using STATISTICA Text MinerJennifer Thompson, Karen Spruythttps://api.elsevier.com/content/article/PII:B9780123869791000153?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:B9780123869791000153?httpAccept=text/plain
2022 IEEE International Conference on Big Data (Big Data)10.1109/bigdata55660.2022.100209332022Shortcut Learning in Financial Text Mining: Exposing the Overly Optimistic Performance Estimates of Text Classification Models under Distribution ShiftMatthew Caronhttp://xplorestaging.ieee.org/ielx7/10020192/10020156/10020933.pdf?arnumber=10020933