Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/3407

 Title: A Web Application for Text Document Classification Based on K-Nearest Neighbor Algorithm Authors: Aleksieva-Petrova, AdelinaMinkov, EmilyanPetrov, Milen Keywords: ClusteringDocument AnalysisWeb-Based Services Issue Date: 2017 Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences Citation: Serdica Journal of Computing, Vol. 11, No 2, (2017), 183p-198p Abstract: The paper gives insight on how the text document categorization problem can be solved and implemented in a software product. On that score, it specifies how input data are provided, processed and transformed into output data. The goal of the paper is not only to suggest a simple theoretical solution to the text document categorization problem but to provide a real-life implementation as part of a software system. ACM Computing Classication System (1998): H.3.3, H.3.5, I.7.5. URI: http://hdl.handle.net/10525/3407 ISSN: 1312-6555 Appears in Collections: Volume 11 Number 2

Files in This Item:

File Description SizeFormat