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Advances in Information and Communication Networks Proceedings of the 2018 Future of Information and Communication Conference (FICC), Vol. 2 /

İçindekiler: “…Hybrid Data Mining to Reduce False Positive and False Negative Prediction in Intrusion Detection System -- Adblock Usage in Web Advertisement in Poland -- Open Algorithms for Identity Federation -- A Hybrid Anomaly Detection System for Electronic Control Units Featuring Replicator Neural Networks -- Optimizing Noise Level for Perturbing Geo-location Data -- Qualitative Analysis for Platform Independent Forensics Process Model (PIFPM) for Smartphones -- Privacy Preserving Computation in Home Loans using the FRESCO Framework -- Practically Realisable Anonymisation of Bitcoin Transactions with Improved Efficiency of the Zerocoin Protocol -- Walsh Sampling with Incomplete Noisy Signals -- Investigating the Effective use of Machine Learning Algorithms in Network Intruder Detection System.…”
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Intelligent and Fuzzy Techniques : Proceedings of the INFUS 2020 Conference, Istanbul, Turkey, July 21-23 2020. Yazar: Kahraman, Cengiz

İçindekiler: “…3.3 Tensor Flow - Keras -- 4 Study and Results and Discussion -- 5 Conclusion and Future Works -- References -- Click Prediction in Digital Advertisements: A Fuzzy Approach to Model Selection -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology and Modelling -- 4 Conclusion and Future Work -- References -- Neural Fuzzy Inference Hybrid System with Support Vector Machine for Identification of False Singling in Stock Market Prediction for Profit Estimation -- Abstract -- 1 Introduction -- 2 Machine Learning Methods -- 3 Methodology -- 4 Experiments -- 5 Conclusion -- References -- Estimation of Potential Locations of Trade Objects on the Basis of Fuzzy Set Theory -- Abstract -- 1 Introduction -- 2 The Method of Solving the Problem of Multi-criteria Decision-Making on the Location of Commercial Facilities on the Basis of the Application of Fuzzy Set Theory -- 3 Conclusion -- References -- Surface Roughness Prediction Using ANFIS and Validation with Advanced Regression Algorithms -- Abstract -- 1 Introduction -- 2 Application Phase -- 2.1 Training Data -- 2.2 Adaptive Neuro Fuzzy Inference System (ANFIS) -- 2.3 Multiple Regression Analysis Using Python -- 3 Results and Discussion -- 4 Conclusion -- Predicting Likelihood to Purchase of Users for E-commerce -- Abstract -- 1 Introduction -- 1.1 Predictive Ad-Audiences with Likelihood to Purchase -- 1.2 Challenges in the Ecommerce and Solution -- 2 Related Work and Approach -- 2.1 Predictive Ad-Audiences -- 2.2 Data Flow and System Architecture -- 2.3 Approach and Results -- 3 Summary and Future Work -- Hesitant Fuzzy Sets -- Webpage Design Based on Generation Differences Using Hesitant Fuzzy Sets -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Factors -- 2.2 Generations -- 3 Research Model and Methodology -- 3.1 Research Model and Sample Data -- 3.2 Methodology.…”
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