Sasikala D and Premalatha K.
(2021). RETRACTED ARTICLE: A swarm-optimized tree-based association rule approach for classifying semi-structured data using soft computing approach. Soft Computing - A Fusion of Foundations, Methodologies and Applications. 25:20. (12745-12758). Online publication date: 1-Oct-2021.
Ngo Ho A, Eglin V, Ragot N and Ramel J.
(2017). A multi-one-class dynamic classifier for adaptive digitization of document streams. International Journal on Document Analysis and Recognition. 20:3. (137-154). Online publication date: 1-Sep-2017.
Salles T, Rocha L, Gonçalves M, Almeida J, Mourão F, Meira W and Viegas F.
(2016). A quantitative analysis of the temporal effects on automatic text classification. Journal of the Association for Information Science and Technology. 67:7. (1639-1667). Online publication date: 1-Jul-2016.
De Mel N, Hettiarachchi H, Madusanka W, Malaka G, Perera A and Kohomban U.
(2016). Machine learning approach to recognize subject based sentiment values of reviews 2016 Moratuwa Engineering Research Conference (MERCon). 10.1109/MERCon.2016.7480107. 978-1-5090-0644-1. (6-11).
Fukumoto F and Suzuki Y.
(2015). Smoothing Temporal Difference for Text Categorization. Information Retrieval Technology. 10.1007/978-3-319-28940-3_16. (203-214).
D’hondt E, Verberne S, Oostdijk N, Beney J, Koster C and Boves L.
(2014). Dealing with temporal variation in patent categorization. Information Retrieval. 10.1007/s10791-014-9239-6. 17:5-6. (520-544). Online publication date: 1-Oct-2014.
Costa M, Couto F and Silva M. Learning temporal-dependent ranking models. Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval. (757-766).
Gao K, Zhang H, Li S, Wang W and Qiu J.
(2013). Research on classification algorithm and its application in cased-based reasoning. International Journal of Computer Applications in Technology. 48:4. (373-381). Online publication date: 1-Dec-2013.
Fukumoto F, Suzuki Y and Takasu A. Timeline adaptation for text classification. Proceedings of the 22nd ACM international conference on Information & Knowledge Management. (1517-1520).
Nishida K, Hoshide T and Fujimura K. Improving tweet stream classification by detecting changes in word probability. Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval. (971-980).
Fernández-Martínez F, Zablotskaya K and Minker W.
(2012). Text categorization methods for automatic estimation of verbal intelligence. Expert Systems with Applications: An International Journal. 39:10. (9807-9820). Online publication date: 1-Aug-2012.
Šilić A and Dalbelo Bašić B. Exploring classification concept drift on a large news text corpus. Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I. (428-437).
Palotti J, Salles T, Pappa G, Goncalves M and Meira W.
(2011). Assessing documents' credibility with genetic programming 2011 IEEE Congress on Evolutionary Computation (CEC). 10.1109/CEC.2011.5949619. 978-1-4244-7834-7. (200-207).