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Selection Mammogram Texture Descriptors Based on Statistics Properties Backpropagation Structure.

, , , and . CoRR, (2013)

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Clustering based-on indiscernibility and indiscernibility level., , and . GrC, page 192-196. IEEE Computer Society, (2009)The Concept of Indiscernibility Level of Rough Set to Reduce the Dendrogram Instability., , and . FGIT-DTA/BSBT, volume 118 of Communications in Computer and Information Science, page 207-225. Springer, (2010)Estimation of Fingerprint Orientation field by utilizing Prior Knowledge and Self-Organizing Map., , , and . JCS, 10 (12): 2422-2428 (2014)Log Analysis Techniques using Clustering in Network Forensics., , , and . CoRR, (2013)B2B Supply Chain Automation using Java Business Integration., , , and . iiWAS, page 385-389. ACM, (2009)Selection Mammogram Texture Descriptors Based on Statistics Properties Backpropagation Structure., , , and . CoRR, (2013)Reducing Hierarchical Clustering Instability Using Clustering Based on Indiscernibility and Indiscernibility Level., , and . GrC, page 182-187. IEEE Computer Society, (2010)Databases Integration through a Web Services Orchestration with BPEL using Java Business Integration., , , and . IJWA, 1 (3): 102-114 (2009)Reducing dendrogram instability using clustering based on indiscernibility and indiscernibility level., , and . IJGCRSIS, 2 (2): 87-106 (2011)Revisiting the Holt-Winters' Additive Method for Better Forecasting., , , and . Int. J. Enterp. Inf. Syst., 15 (2): 43-57 (2019)