Cover is for reference only

Information management and big data : 5th International Conference, SIMBig 2018, Lima, Peru, September 3-5, 2018, proceedings /

This book constitutes the refereed proceedings of the 5th International Conference on Information Management and Big Data, SIMBig 2018, held in Lima, Peru, in September 2018. The 34 papers presented were carefully reviewed and selected from 101 submissions. The papers address issues such as data min...

Full description

Saved in:
Bibliographic Details
Corporate Authors: International Conference on Information Management and Big Data Lima, Peru
Group Author: Lossio-Ventura, Juan Antonio; Muñante, Denisse; Alatrista-Salas, Hugo
Published: Springer,
Publisher Address: Cham, Swizterland :
Publication Dates: [2019]
Literature type: Book
Language: English
Series: Communications in computer and information science, 898
Subjects:
Big data > Congresses
Data mining > Congresses
Summary: This book constitutes the refereed proceedings of the 5th International Conference on Information Management and Big Data, SIMBig 2018, held in Lima, Peru, in September 2018. The 34 papers presented were carefully reviewed and selected from 101 submissions. The papers address issues such as data mining, artificial intelligence, Natural Language Processing, information retrieval, machine learning, web mining.
Carrier Form: xix, 382 pages : illustrations, maps ; 24 cm.
Bibliography: Includes bibliographical references and index.
ISBN: 9783030116798
3030116794
9783030116811
3030116816
Index Number: QA76
CLC: TP311.13-532
Call Number: TP311.13-532/I436-1/2018
Contents: Clinical, Consumer Health, and Visual Question Answering.- Which is the tallest building in Europe? .- Data Driven Requirements Engineering. The SUPERSEDE way.- Word Embeddings and Deep Learning for Spanish Twitter Sentiment Analysis. -- Twitter Event Detection in a City. -- ANEW for Spanish Twitter Sentiment Analysis using Instance-Based Multi-Label Learning Algorithms. -- An Operational Deep Learning Pipeline for Classifying Life Events from Individual Tweets. -- Using Behavior and Text Analysis to Detect Propagandists and Mis-informers on Twitter. -- Analyzing the Retweeting Behavior of I

Related Book Recommendations