Reuse in Intelligent Systems

ISBN-13: 9780367510077 / Angielski / Miękka / 2021 / 242 str.

Stuart H. Rubin; Lydia Bouzar-Benlabiod

Opis

This book is based on the best papers of the IEEE IRI 2018 and the IEEE FMI 2018 Salt Lake City conferences, held in July, 2018. It comprises recent works – covering several aspects of reuse in intelligent systems, including scientific theory and technology-based applications.

Spis treści

Experimental Studies on the Impact of Data Sampling with Severely Imbalanced big data. How to Optimally Combine Univariate and Multivariate Feature Selection with Data Sampling for Classifying Noisy, High Dimensional and Class Imbalanced DNA Microarray Data. Big Data and Class Imbalance in Medicare Fraud Detection. Movie Recommendations Based on a Recurrent Neural Network Model. A Recommendation System Enhanced by Topic Modeling for Knowledge Reuse in MOOCs Ecosystems. Toward a Computer Vision Based Approach for Developing Algorithms for Soccer Playing Robots. Context-dependent Reachability Analysis for Hybrid Systems. Netflow Feature Evaluation for the Detection of Slow Read HTTP Attacks. Predictive Analysis of Server Log Data for Forecasting Events.