امنیت داده های سازمانی با مدل مدیریت مستندات محتوای فارسی رسانه های خبری

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[2]     I.Jamali, S.J.Mir-Abedini, A.Haroonabadi, “Presenting a model for Persian text classification using a combination of classification methods”, Journal of Telecommunications Engineering, Volume 7, Issue 23, 2017.(In Persian)

[3]     M.Karimimanesh, H.Shirazi, “Comparison of feature weighting methods in the document classification process”, First National Conference on New Approaches in Computer Engineering and Information Retrieval in Iran, 2013.(In Persian)

[4]     A.Siyahi, S.M.Hashemi, S.Mazraa, “Improving a Feature Selection Method for Text Classification with Text Mining Algorithms”, Second National Congress of Iranian New Technologies for Sustainable Development, Tehran, Center for Strategies for Sustainable Development, Mehr Arvand Institute of Higher Education, 2015. (In Persian)

[5]     P.NadKarni, M.Ohno-Machado, L.Chapman,  “ Natural language processing: an introduction”, Journal of the American Medical Informatics Association, 18(5), 544-551,  2011.

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[12]  M.Sheikhi, S.Akbarpour, A.Farzan, “Text Mining of Persian Texts for Its Classification”, Fourth Iranian Conference on Electrical and Electronic Engineering, 2012. (In Persian)

[13]  M.Bazghandi, Q.Tabrizi, J.Vafaei, “First International Conference on Natural Language and Handwriting Processing”, Semnan University, 2012.(In Persian)

[14]  P. MulaK, N. Talhar, “Analysis of distance measures using K-nearest neighbor algorithm on KDD dataset”, International Journal of Science and Research, 4(7), 2101-2104, 2015.

[15]  S.Arabi-Narei, M.Vahidi-Asl, B.Minaei-Bidgoli,  “Extracting Keywords for Persian Text Classification”, First Iranian Data Mining Conference, Tehran, https://civilica.com/doc/33094, 2007.(In Persian)

[16]  M.E.Basiri, S.Nemati, N.Ghasem Aghaei, “Comparison of Persian Text Classification Using K-Nearest Neighbor and fkNN Algorithms and Selecting Features Based on Information Gain and Document Frequency”, Thirteenth Annual Conference of the Iranian Computer Association, Kish Island, https://civilica.com/doc/41786, 2007.(In Persian)

[17]  A.Ghanbari-Sorkhi, F.Ebrahimi, “Improving the performance of Persian text classification using principal component analysis with the help of average recall and precision criteria”, 14th National Electrical Engineering Student nConference, Kermanshah, https://civilica.com/doc/121558, 2011.(In Persian)

[18]  M.Abedininia, L.Allahdadi, F.Sheikhi, “Exploring Persian texts on the web using semantic analysis and multi-layer information classification method”, First National Conference on New Approaches in Computer Engineering and Information Retrieval, Rasht, https://civilica.com/doc/225377, 2013.(In Persian)

[19]  P.Jalali, S.M.Hashemi, A.Siyahi, A.Heydari, “Presentation of a text classification method using filter feature reduction and machine learning techniques”, International Conference on New Research Findings in Electrical Engineering and Computer Science, Tehran, Nikan Institute of Higher Educationhttps, 2015.(In Persian)

[20]  H.PourAbbasi, M.Abbasi-Dezfuli, “Latin Text Classification with Filtering Covering and Naive Bayes Algorithms”, First National Conference on Computer and Information Technology, Sepidan, Islamic Azad University, Sepidan Branch, 2017.(In Persian)

[21]  M.Golparvar, S.J.Mousavi-Rad, “A Comparative Study of the Most Used Classification Algorithms in Customer Prediction and Validation”, Fifth National Conference on Applied Research in Management and Accounting, Tehran, Iranian Management Association.,  (2018). (In Persian)