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Intelligent Information and Database Systems : 11th Asian Conference, ACIIDS 2019, Yogyakarta, Indonesia, April 8-11, 2019, Proceedings, Part I / edited by Ngoc Thanh Nguyen, Ford Lumban Gaol, Tzung-Pei Hong, Bogdan Trawiński.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Nguyen, Ngoc Thanh., Editor.
Gaol, Ford Lumban, Editor.
Hong, Tzung-Pei., Editor.
Trawiński, Bogdan, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 11431
Lecture Notes in Artificial Intelligence, 2945-9141 ; 11431
Language:
English
Subjects (All):
Artificial intelligence.
Data mining.
Application software.
Computer vision.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Computer and Information Systems Applications.
Computer Vision.
Local Subjects:
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Computer and Information Systems Applications.
Computer Vision.
Physical Description:
1 online resource (XXXIX, 754 pages) : 355 illustrations, 183 illustrations in color.
Edition:
1st ed. 2019.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2019.
System Details:
text file PDF
Summary:
The two-volume set LNAI 11431 and 11432 constitutes the refereed proceedings of the 11th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2019, held in Yogyakarta, Indonesia, in April 2019. The total of 124 full papers accepted for publication in these proceedings were carefully reviewed and selected from 309 submissions. The papers of the first volume are organized in the following topical sections: knowledge engineering and semantic web; text processing and information retrieval; machine learning and data mining; decision support and control systems; computer vision techniques; and databases and intelligent information systems. The papers of the second volume are divided into these topical sections: collective intelligence for service innovation, technology management, E-learning, and fuzzy intelligent systems; data structures modelling for knowledge representation; advanced data mining techniques and applications; intelligent information systems; intelligent methods and artificial intelligence for biomedical decision support systems; intelligent and contextual systems; intelligent systems and algorithms in information sciences; intelligent supply chains and e-commerce; sensor networks and Internet of Things; analysis of image, video, movements and brain intelligence in life sciences; and computer vision and intelligent systems.
Contents:
Knowledge Engineering and Semantic Web
Algorithms for Merging Probabilistic Knowledge Bases
A Formal Framework for the Ontology Evolution
Logical Problem Solving Framework
Term Rewriting That Preserves Models in KR-Logic
Towards Knowledge Formalization and Sharing in a Cognitive Vison Platform for Hazard Control (CVP-HC)
Assessing Individuals Learning's Impairments from a Social Entropic Perspective
Text Processing and Information Retrieval
Robust Web Data Extraction based on Unsupervised Visual Validation
A Character-level Deep Lifelong Learning Model for Named Entity Recognition in Vietnamese Text
Identification of Conclusive Association Entities by Biomedical Association Mining
A Data Preprocessing Method to Classify and Summarize Aspect-Based Opinions using Deep Learning
Word Mover's Distance for Agglomerative Short Text Clustering
Improving Semantic Relation Extraction System with Compositional Dependency Unit on Enriched Shortest Dependency Path
An Adversarial Learning and Canonical Correlation Analysis based Cross-Modal Retrieval Model
Event Prediction Based on Causality Reasoning
A method for detecting and analyzing the sentiment of tweets containing conditional sentences
Aggregating Web Search Results
Cross-Lingual Korean Speech-to-Text Summarization
On Some Approach to Evaluation in Personalized Document Retrieval Systems
Machine Learning and Data Mining
A Class-Cluster k-Nearest Neighbors Method for Temporal In-Trouble Student Identification
Multidimensional Permutation Entropy for Constrained Motif Discovery
A LSTM Approach for Sales Forecasting of Goods with Short-term Demands in E-Commerce
Detection of Rare Elements in Investigation of Medical Problems
Cardiac murmur effects on automatic segmentation of ECG signals for biometric identification: Preliminary study
An Approach to Estimation of Residential Housing Type Based on the Analysis of Parked Cars
Household Electric Load Pattern Consumption Enhanced Simulation by Random Behavior
Anomaly Detection Procedures in a Real World Dataset by Using Deep-Learning Approaches
Developing a General Video Game AI Controller Based on an Evolutionary Approach
Separable data aggregation by layers of binary classifiers
Adaptation and recovery stages for case-based reasoning systems using Bayesian estimation and Density estimation with Nearest Neighbors
Feature extraction analysis for emotion recognition from ICEEMD of multimodal physiological signals
Using Fourier series to improve the prediction accuracy of Nonlinear Grey Bernoulli Model
Learning Hierarchical Weather Data Representation for Short-term Weather Forecasting using Autoencoder and LSTM
Logo and Brand Recognition from Imbalanced Dataset using MiniGoogLenet and MiniVGGnet Models
Decision Support and Control Systems
Selected problems of controllability of semilinear fractional systems-a Survey
A data-driven approach to modeling and solving academic teachers' competences configuration problem
PID Regulatory Control Design for a Double Tank System Based on Time-Scale Separation
Towards Formal, Graph-based Spatial Data Processing: The Case of Lighting Segments for Pedestrian Crossings
Multi-Agent Support For Street Lighting Modernization Planning
An application a two-level determination consensus method in a multi-agent financial decisions support system
Implementing Smart Virtual Product Development (SVPD) to Support Product Manufacturing
PID Tuning with Neural Networks
Repeatable trust game { preliminary experimental results
Modeling of uncertainty with Petri nets
A Collaborative Approach Based on DCA and VNS for Solving Mixed Binary Linear Programs
Adoption of Cloud Business Intelligence in Indonesia's Financial Services Sector
Stakeholder impact on the success and risk of failure of ICT projects in Poland
Analysis of the Influence of ICT and Public Recognition on University Credibility
Quantum Game-Based Recommender Systems for Disruptive Innovations
Computer Vision Techniques
Matching Topological Structures for Handwritten Character Recognition
Enhancing the Resolution of Satellite Images Using the Best Matching Image Fragment
Multi-scale Autoencoders in Autoencoder for Semantic Image Segmentation
Simultaneous Localization and Segmentation of Fish Objects using Multi-Task CNN and Dense CRF
Violent Crowd Flow Detection Using Deep Learning
Drowsiness Detection in Drivers through Real-time Image Processing of the Human Eye
Software Techniques to Reduce Cybersickness among Users of Immersive Virtual Reality Environments
Semi-supervised learning with Bidirectional GANs
Sharp Images Detection for Microscope Pollen Slides Observation
Databases and Intelligent Information Systems
Slowly Changing Dimension Handling in Data Warehouses using Temporal Database Features
Tackling Complex Queries to Relational Databases
Approximate Outputs of Accelerated Turing Machines Closest to Their Halting Point
Development of Seawater Temperature Announcement System for Improving Productivity of Fishery Industry
TB5 tool for tracking personality traits
Comparative Analysis of Usability of Data Entry Design Patterns for Mobile Applications.
Other Format:
Printed edition:
ISBN:
978-3-030-14799-0
9783030147990
Access Restriction:
Restricted for use by site license.

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