Cantitate/Preț
Produs
Total produse
Vezi coșul
Information Management and Big Data de Juan Antonio Lossio-Ventura

Information Management and Big Data

Editat de Juan Antonio Lossio-Ventura, Jorge Carlos Valverde-Rebaza, Eduardo Díaz, Hugo Alatrista-Salas
en Limba Engleză Paperback – 12 mai 2021
This book constitutes the refereed proceedings of the 7th International Conference on Information Management and Big Data, SIMBig 2020, held in Lima, Peru, in October 2020.* The 32 revised full papers and 7 revised short papers presented were carefully reviewed and selected from 122 submissions. The papers address topics such as natural language processing and text mining; machine learning; image processing; social networks; data-driven software engineering; graph mining; and Semantic Web, repositories, and visualization.
*The conference was held virtually.
Citește tot Restrânge

Preț: 33524 lei

Preț vechi: 41906 lei
-20%

Puncte Express: 503

Carte tipărită la comandă

Livrare economică 08-22 iulie

Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit de la 40000 lei Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.
 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9783030762278
ISBN-10: 3030762270
Pagini: 576
Ilustrații: XX, 554 p. 215 illus., 175 illus. in color.
Dimensiuni: 155 x 235 x 31 mm
Greutate: 0.79 kg
Ediția:1st edition 2021
Editura: Springer
Locul publicării:Cham, Switzerland

Cuprins

Natural Language Processing and Text Mining.- Comparative Analysis of Question Answering Models for HRI Tasks with NAO in Spanish.- Peruvian citizens reaction to Reactiva Perú Program: A Twitter Sentiment Analysis Approach.- Twitter Early Prediction of preferences and tendencies based in neighborhood behavior.- Summarization of Twitter Events with Deep Neural Network Pre-trained Models.- Multi-strategic Approach for Author Name Disambiguation in Bibliography Repositories.- Machine Learning techniques for speech emotion classification.- An evaluation of physiological public datasets for emotion recognition systems.- Machine Learning.- YTTREX: crowdsourced analysis of YouTube's recommender system during COVID-19 pandemic.- Parallel Social Spider Optimization Algorithms with Island Model for the Clustering Problem.- Two-Class Fuzzy Clustering Ensemble Approach Based on A Constraint on Fuzzy Memberships.- Modeling and Predicting the Lima Stock Exchange General Index with Bayesian Networks and Information from Foreign Markets.- Comparative study of spatial prediction models for estimating PM2:5 concentration level in urban areas.- Prediction of Solar Radiation using Neural Networks Forecasting.- COVID-19 Infection Prediction and Classification.- Image Processing.- Towards a benchmark for sedimentary facies classification: Applied to the Netherlands F3 Block.- Mobile application for movement recognition in the rehabilitation of the anterior cruciate ligament of the knee.- Semantic Segmentation using Convolutional Neural Networks for Volume Estimation of Native Potatoes at High Speed.- Symbiotic Trackers' Ensemble with Trackers' Re-initialization for Face Tracking.- Multi-class Vehicle Detection and Automatic License Plate Recognition based on YOLO in Latin American Context.- Static Summarization using Pearsons Coefficient and Transfer Learning for Anomaly detection for Surveillance Videos.- Humpback Whale's Flukes Segmentation Algorithms.- Improving Context-Aware Music Recommender Systems with a Dual Recurrent Neural Network.- Social Networks.- Classification of Cybercrime Indicators in Open Social Data.- StrCoBSP: relationship Strength-aware Community-based Social Pro ling.- Identifying Differentiating Factors for Cyberbullying in Vine and Instagram.- Effect of Social Algorithms on Media Source Publishers in Social.- Media Ecosystems.- The Identification of Framing Language in Business Leaders' Speech From the Mass Media.- Clustering Analysis of Website Usage on Twitter during the COVID-19 Pandemic.- Data-driven Software Engineering.- Calibrated Viewability Prediction for Premium Inventory Expansion.- Data Driven Policy Making: The Peruvian Water Resources Observatory.- Graph Mining.- Use of complex networks to differentiate elderly and young people.- Analysis of the Health Network of Metropolitan Lima against Large-scale Earthquakes.- Quasiquadratic time algorithms for square and pentagon counting in real-world networks.- Identifying COVID-19 Impact on Peruvian Mental Health during Lockdown using Social Network.- Diagnosis of SARS-CoV-2 based on patient symptoms and fuzzy classifiers.- Semantic Web, Repositories, and Visualization.- Distributed Identity Management for Semantic Entities.- Telegram: Data Collection, Opportunities and Challenges.- Graph theory applied to International Code of Diseases (ICD) in a hospital.- CovidStream: Interactive Visualization of Emotions Evolution Associated with Covid-19.