Titlebook: Advances in Machine Learning and Computational Intelligence; Proceedings of ICMLC Srikanta Patnaik,Xin-She Yang,Ishwar K. Sethi Conference

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Michael Wilson,Philippa J. K. Wilsonscovered. This paper presents a new network intrusion detection approach that trains on normal network traffic data and searches for anomalous behaviors that deviate from the normal model. The proposed approach applies one-class support vector machine (OCSVM) algorithm to detect anomalous activities

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Helena Wahlström Henriksson,Klara Goedeckeware. As a result of this, software bug repository data are increasing day by day with noise and uncertainty in it. The noise and uncertainty present in bug summary need to be handled, so that it should not affect the performance of learning strategies for different bug attributes and fix time predi

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Close Relationship Loss As a Set of Inkblotsn, it occurs when customers stop using the products or services of a company. Through our paper, we are predicting customer churn beforehand so that proper customer retention steps can be taken with the help of exploratory data analysis and to make customized offers for the targets. For the churn pr

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etidronate

Divorce: A Comment About the Futurection is the one which helps in handling several issues that endangers the ocean security based on of several grounds. Ship detection is included in the object segmentation and detection problem that requires the aid of computer vision to preprocess and process the satellite images. The whole proces

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