Information Management and Big Data 5th International Conference, SIMBig 2018, Lima, Peru, September 3-5, 2018, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Lossio-Ventura, Juan Antonio (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Muñante, Denisse (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Alatrista-Salas, Hugo (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Communications in Computer and Information Science, 898
• Θέματα: Computers.; Artificial intelligence.; Application software.; Optical data processing.; Big data.; Information Systems and Communication Service.; Artificial Intelligence.; Computer Appl. in Social and Behavioral Sciences.; Image Processing and Computer Vision.; Big Data.

 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. 

 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 Inuencers to Predict Popular Tweets, with and without Considering their Content. - Link Prediction in Co-authorship Networks using Scopus Data. - Aerial Scene Classication and Information Retrieval Via Fast Kernel Based Fuzzy C-Means Clustering. - A Case Study of Library Data Management: A New Method to Analyze Borrowing Behavior. - Sparkmach: a Distributed Data Processing System Based on Automated Machine Learning For Big Data. - Deep Dive into Authorship Verication of email Messages with Convolutional Neural Network. - Monitoring of Air Quality with Low-cost Electrochemical Sensors and the Use of Articial Neural Networks for the Atmospheric Pollutants Concentration Levels prediction. - Data Mining Algorithms for Risk Detection in Bank Loans. - DETECTOR: Automatic Detection System for Terrorist Attack Trajectories. - Car Monitoring System in Apartments' Garages by Small Autonomous Car using Deep Learning. - A Framework for Analytical Approaches to Combine Interpretable Models. - Processing Quechua and Guarani Historical Texts Query expansion at character and word level for Information Retrieval. - Topic Modeling Applied to Business Research: A Latent Dirichlet Allocation (LDA)-based Classication for Organization Studies. - Using Neural Network for Identifying Clickbaits in Online News Media. - Spanish Named Entity Recognition in the Biomedical Domain. - Ontology modeling of the Estonian Trac Act for self- driving buses. -Thought Off-line Sanitization Methods for Bank Transactions. - Big Data for Development: An Approach as a State Government Capacity in the Countries. - Towards Real-time Automatic Stress Detection for Oce Workplaces. - SoTesTeR: Software Testing Techniques' Recommender System using a collaborative approach. - Crowdsourcing High-Quality Structured Data. - Ethical and Socially-Aware Data Labels. - Shadow Removal in High-Resolution Satellite Images Using Conditional Generative Adversarial Networks. - A Mixed Model Based on Shape Context and Spark for Sketch Based Image Retrieval. - Continuous Detection of Abnormal Heartbeats from ECG Using Online Outlier Detection. - Do Public and Government Think Similar about Indian Cleanliness Campaign.