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Machine Learning for Networking: First International Conference, Mln 2018, Paris, France, November 27-29, 2018, Revised Selected Papers

Machine Learning for Networking: First International Conference, Mln 2018, Paris, France, November 27-29, 2018, Revised Selected Papers (Paperback, 2019)

Eric Renault, Selma Boumerdassi, Paul Muhlethaler (엮은이)
Springer International Publishing
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Machine Learning for Networking: First International Conference, Mln 2018, Paris, France, November 27-29, 2018, Revised Selected Papers
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책 정보

· 제목 : Machine Learning for Networking: First International Conference, Mln 2018, Paris, France, November 27-29, 2018, Revised Selected Papers (Paperback, 2019) 
· 분류 : 외국도서 > 컴퓨터 > 데이터베이스 관리 > 데이터 마이닝
· ISBN : 9783030199449
· 쪽수 : 388쪽
· 출판일 : 2019-05-10

목차

Learning Concave-Convex Profiles of Data Transport Over Dedicated Connections.- Towards Analyzing C-ITS Security Data.- Towards a Statistical Approach for User Classification in Twitter.- RILNET: A Reinforcement Learning Based Load Balancing Approach for Datacenter Networks.- Building a Wide-Area File Transfer Performance Predictor: An Empirical Study.- Advanced Hybrid Technique in Detecting Cloud Web Application's Attacks.- Machine-Learned Classifiers for Protocol Selection on a Shared Network.- Common Structures in Resource Management as Driver for Reinforcement Learning: a Survey and Research Tracks.- Inverse Kinematics Using Arduino and Unity for People with Motor Skill Limitations.- Delmu: A Deep Learning Approach to Maximizing the Utility of Virtualised Millimetre-Wave Backhauls.- Malware Detection System Based on an In-depth Analysis of the Portable Executable Headers.- DNS Traffic Forecasting Using Deep Neural Networks.- Energy-Based Connected Dominating Set for Data Aggregation for Intelligent Wireless Sensor Networks.- Touchless Recognition of Hand Gesture Digits and English Characters Using Convolutional Neural Networks.- LSTM Recurrent Neural Network for Anomaly Detection in Cellular Mobile Networks.- Towards a Better Compromise Between Shallow and Deep CNN for Binary Classification Problems of Unstructured Data.- Reinforcement Learning Based Routing Protocols Analysis for Mobile Ad-Hoc Networks.- Deep Neural Ranking for Crowdsourced Geopolitical Event Forecasting.- The Comment of BBS: How Investor Sentiment Affects a Share Market of China.- A Hybrid Neural Network Approach for Lung Cancer Classification with Gene Expression Dataset and Prior Biological Knowledge.- Plant Leaf Disease Detection and Classification Using Particle Swarm Optimization.- A Game Theory Approach for Intrusion Prevention Systems.- WSN Heterogeneous Architecture Platform for IoT.- An IoT Framework for Detecting Movement Within Indoor Environments.- A Hybrid Architecture for Cooperative UAV and USV Swarm Vehicles.- Detecting Suspicious Transactions in Smart Living Spaces.- Intelligent ERP Based Multi Agent Systems and Cloud Computing.

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