Intelligent Data Engineering and Automated Learning IDEAL 2018 19th International Conference Madrid Spain November 21 23 2018 Proceedings Part I Hujun 3030034933 9783030034931

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Product details:

• ISBN-10 ‏ : ‎ 3030034933
• ISBN-13 ‏ : ‎ 9783030034931
• Author: Hujun Yin

This two-volume set LNCS 11314 and 11315 constitutes the thoroughly refereed conference proceedings of the 19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018, held in Madrid, Spain, in November 2018. The 125 full papers presented were carefully reviewed and selected from 204 submissions. These papers provided a timely sample of the latest advances in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis.

Table of contents:

1. Compound Local Binary Pattern and Enhanced Jaya Optimized Extreme Learning Machine for Digital Mammogram Classification
2. Support Vector Machine Based Method for High Impedance Fault Diagnosis in Power Distribution Networks
3. Extended Min-Hash Focusing on Intersection Cardinality
4. Deep-Learning-Based Classification of Rat OCT Images After Intravitreal Injection of ET-1 for Glaucoma Understanding
5. Finding the Importance of Facial Features in Social Trait Perception
6. Effective Centralized Trust Management Model for Internet of Things
7. Knowledge-Based Solution Construction for Evolutionary Minimization of Systemic Risk
8. Handwritten Character Recognition Using Active Semi-supervised Learning
9. Differential Evolution for Association Rule Mining Using Categorical and Numerical Attributes
10. Predicting Wind Energy Generation with Recurrent Neural Networks
11. Improved Architectural Redesign of MTree Clusterer in the Context of Image Segmentation
12. Exploring Online Novelty Detection Using First Story Detection Models
13. A Fast Metropolis-Hastings Method for Generating Random Correlation Matrices
14. Novel and Classic Metaheuristics for Tunning a Recommender System for Predicting Student Performance in Online Campus
15. General Structure Preserving Network Embedding
16. Intelligent Rub-Impact Fault Diagnosis Based on Genetic Algorithm-Based IMF Selection in Ensemble Empirical Mode Decomposition and Diverse Features Models
17. Anomaly Detection in Spatial Layer Models of Autonomous Agents
18. Deep Learning-Based Approach for the Semantic Segmentation of Bright Retinal Damage
19. Comparison of Local Analysis Strategies for Exudate Detection in Fundus Images
20. MapReduce Model for Random Forest Algorithm: Experimental Studies
21. Specifics Analysis of Medical Communities in Social Network Service

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