Rubin, Stuart H.

Reuse in Intelligent Systems. - 1st ed. - 1 online resource (253 pages)

Cover -- Title Page -- Copyright Page -- Preface -- Table of Contents -- 1: Experimental Studies on the Impact of Data Sampling with Severely Imbalanced Big Data -- 2: How to Optimally Combine Univariate and Multivariate Feature Selection with Data Sampling for Classifying Noisy, High Dimensional and Class Imbalanced DNA Microarray Data -- 3: Big Data and Class Imbalance in Medicare Fraud Detection -- 4: Movie Recommendations Based on a Recurrent Neural Network Model -- 5: A Recommendation System Enhanced by Topic Modeling for Knowledge Reuse in MOOCs Ecosystems -- 6: Towards a Computer Vision Based Approach for Developing Algorithms for Soccer Playing Robots -- 7: Context-dependent Reachability Analysis for Hybrid Systems -- 8: Netflow Feature Evaluation for the Detection of Slow Read HTTP Attacks -- 9: Predictive Analysis of Server Log Data for Forecasting Events -- Index.

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.

9781000089295


Computer software-Reusability-Congresses.


Electronic books.

QA76.76.R47 .R487 2020

003.54