Titlebook: Intelligent Systems, Technologies and Applications; Proceedings of Sixth Marcin Paprzycki,Sabu M. Thampi,El-Sayed M. El-Alf Conference proc

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Marcin Paprzycki,Sabu M. Thampi,El-Sayed M. El-AlfPresents recent research in the field of intelligent systems.Discusses the outcomes of ISTA’2020, held in Chennai, India.Serves as a reference resource for researchers and practitioners in academia an

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,Probability of Loan Default—Applying Data Analytics to Financial Credit Risk Prediction,gital records of results of past credit applications (of all clients), it can be stipulated that machine learning techniques can be used in “credit decision support” systems. There exists a substantial body of literature devoted to this subject. Moreover, benchmark datasets have been proposed, to es

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,ShExMap and IPSM-AF—Comparison of RDF Transformation Technologies,rewriting, and language transformation rely on the expressivity and flexibility of RDF. As a meta-model capable of expressing information with the use of a variety of vocabularies or ontologies, RDF enables a range of solutions for the problem of data interoperability. Exploiting RDF for interoperab

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AI Approaches for IoT Security Analysis,l systems and as they potentially also open the access to other IT networks and infrastructures. Existing intrusion detection systems (IDS) and intrusion prevention systems (IPS) mostly concentrate on legacy IT networks. Nowadays, they come with a high degree of complexity and adaptivity, including

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Hybrid Deep Neural Architecture for Detection of DDoS Attacks in Cloud Computing,potential solutions have been provided for the detection of attacks, but due to frequent change in attack vectors, a competent technique is essential for combating these new attacks. In this paper, we propose a hybrid method which uses deep neural network (DNN) model for distinguishing DDoS attacks

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MapReduce-Driven Rough Set Fuzzy Classification Rule Generation for Big Data Processing,days, the topic of data science and big data becomes of prominent interest in the present research. Big data applications can be accomplished through the MapReduce programming model because these are mostly concerning scalability. The MapReduce models are intended to categorize data into various gro