Cantitate/Preț
Produs
Total produse
Vezi coșul
Machine Learning for Networking: Second IFIP TC 6 International Conference, MLN 2019, Paris, France, December 3–5, 2019, Revised Selected Papers de Selma Boumerdassi

Machine Learning for Networking: Second IFIP TC 6 International Conference, MLN 2019, Paris, France, December 3–5, 2019, Revised Selected Papers: Lecture Notes in Computer Science, cartea 12081

Editat de Selma Boumerdassi, Éric Renault, Paul Mühlethaler
en Limba Engleză Paperback – 20 apr 2020
This book constitutes the thoroughly refereed proceedings of the Second International Conference on Machine Learning for Networking, MLN 2019, held in Paris, France, in December 2019. The 26 revised full papers included in the volume were carefully reviewed and selected from 75 submissions. They present and discuss new trends in deep and reinforcement learning, patternrecognition and classi cation for networks, machine learning for network slicingoptimization, 5G system, user behavior prediction, multimedia, IoT, securityand protection, optimization and new innovative machine learning methods, performanceanalysis of machine learning algorithms, experimental evaluations ofmachine learning, data mining in heterogeneous networks, distributed and decentralizedmachine learning algorithms, intelligent cloud-support communications,ressource allocation, energy-aware communications, software de ned networks,cooperative networks, positioning and navigation systems, wireless communications,wireless sensor networks, underwater sensor networks.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (5) 32435 lei  6-8 săpt.
  Springer International Publishing – 20 apr 2020 62971 lei  3-5 săpt.
  Springer International Publishing – 3 mar 2021 32435 lei  6-8 săpt.
  Springer International Publishing – 23 mar 2022 34121 lei  6-8 săpt.
  Springer Nature Switzerland – 28 mai 2024 42928 lei  6-8 săpt.
  Springer International Publishing – 10 mai 2019 51621 lei  6-8 săpt.

Din seria Lecture Notes in Computer Science

Preț: 62971 lei

Preț vechi: 78715 lei
-20% Nou

Puncte Express: 945
Preț estimativ în valută:
11140€ • 13059$ • 9795£

Carte disponibilă

Livrare economică 08-22 ianuarie 26

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783030457778
ISBN-10: 303045777X
Pagini: 400
Ilustrații: XIII, 486 p. 267 illus., 183 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.68 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Information Systems and Applications, incl. Internet/Web, and HCI

Locul publicării:Cham, Switzerland

Cuprins

Network Anomaly Detection using Federated Deep Autoencoding Gaussian Mixture Model.- Towards a Hierarchical Deep Learning Approach for Intrusion Detection.- Network Trafic Classifi cation using Machine Learning for Software Defined Networks.- A Comprehensive Analysis of Accuracies of Machine Learning Algorithms for Network Intrusion Detection.- Q-routing: from the algorithm to the routing protocol.- Language Model Co-occurrence Linking for Interleaved Activity Discovery.- Achieving Proportional Fairness in WiFi Networks via Bandit Convex Optimization.- Denoising Adversarial Autoencoder for Obfuscated Tra c Detection and Recovery.- Root Cause Analysis of Reduced Accessibility in 4G Networks.- Space-time pattern extraction in alarm logs for network diagnosis.- Machine Learning Methods for Connection RTT and Loss Rate Estimation Using MPI Measurements Under Random Losses.- Algorithm Selection and Model Evaluation in Application Design using Machine Learning.- GAMPAL: Anomaly Detection forInternet Backbone Tra c by Flow Prediction with LSTM-RNN.- Revealing User Behavior by Analyzing DNS Tra c.- A new approach to determine the optimal number of clusters based on the Gap statistic.- MLP4NIDS: an e cient MLP-based Network Intrusion Detection for CICIDS2017 dataset.- Random Forests with a Steepend Gini-Index Split Function and Feature Coherence Injection.- Emotion-based Adaptive Learning Systems.- Machine learning methods for anomaly detection in IoT networks, with illustrations.- DeepRoute: Herding Elephant and Mice Flows with Reinforcement Learning.- Arguments Against using the 1998 DARPA Dataset for Cloud IDS Design and Evaluation and Some Alternative.- Estimation of the Hidden Message Length in Steganography: A Deep Learning Approach.- An Adaptive Deep Learning Algorithm Based Autoencoder for Interference Channels.- A Learning Approach for Road Tra c Optimization in Urban Environments.- CSI based Indoor localization using Ensemble Neural Networks.- Bayesian Classi ersin Intrusion Detection Systems.- A Novel Approach towards Analysis of Attacker Behavior in DDoS Attacks.- Jason-RS, a Collaboration between Agents and an IoT Platform.- Scream to Survive(S2S): Intelligent System to Life-Saving in Disasters Relief.- Association Rules Algorithms for Data Mining Process Based on Multi Agent System.- Internet of Things: Security Between Challenges and Attacks.- Socially and biologically inspired computing for self-organizing communications networks.