Mining Intelligence and Knowledge Exploration

Table of Contents

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   Book Overview
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   Chapter 1 FCA-Based Ontology Learning from Unstructured Textual Data
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   Chapter 2 Meaningful Clusterings of Recurrent Neural Network Activations for NLP
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   Chapter 3 Automatic Extraction of Structured Information from Drug Descriptions
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   Chapter 4 From Open Information Extraction to Semantic Web: A Context Rule-Based Strategy
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   Chapter 5 Reference Metadata Extraction from Korean Research Papers
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   Chapter 6 On the Impact of Semantic Roles on Text Comprehension for Question Answering
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   Chapter 7 Solving the Traveling Tournament Problem with Predefined Venues by Parallel Constraint Programming
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   Chapter 8 Predicative Vagueness in Lung Metastases in Soft Tissue Sarcoma Screening
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    Chapter 9 Expert Intelligence: Theory of the Missing Facet
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    Chapter 10 A Comprehensive Methodology to Implement Business Intelligence and Analytics Through Knowledge Discovery in Databases
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    Chapter 11 Categorical Modeling Method of Intelligent WorkFlow
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    Chapter 12 Classification of Dengue Serotypes Using Protein Sequence Based on Rule Extraction from Neural Network
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    Chapter 13 Orienting Social Event Streams as Data Stories
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    Chapter 14 Software Driven Optimal Design for Maintenance Man Hour
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    Chapter 15 Modeling Trajectory Data as a Directed Graph
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    Chapter 16 Connected Cars Traffic Flow Balancing Based on Classification and Calibration
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    Chapter 17 Identification and Control of a Car Speed Dynamics Using Artificial Intelligence
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    Chapter 18 Industry 4.0, Intelligent Visual Assisted Picking Approach
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    Chapter 19 Detection and Mapping of a Toxic Cloud Using UAVs and Emergent Techniques
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    Chapter 20 Convolutional Neural Networks for Multi-class Intrusion Detection System
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    Chapter 21 wraudit: A Tool to Transparently Monitor Web Resources’ Integrity
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    Chapter 22 Using Stigmergy to Incorporate the Time into Artificial Neural Networks
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    Chapter 23 Modeling Sustainability Reporting with Ternary Attractor Neural Networks
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    Chapter 24 Analysing a Periodical and Multi-dimensional Time Series
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    Chapter 25 Stock Price Forecasting Over Adaptive Timescale Using Supervised Learning and Receptive Fields
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    Chapter 26 Periodically Diluted BEGNN Model of Corruption Perception
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    Chapter 27 Neural Machine Translation with Recurrent Highway Networks
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    Chapter 28 A Comparative Study of Methods Used in the Analysis and Prediction of Financial Data
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    Chapter 29 Skin Lesion Images Segmentation: A Survey of the State-of-the-Art
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    Chapter 30 Skin Lesion Segmentation Using Enhanced Unified Markov Random Field
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    Chapter 31 Texture Classification Using Deep Convolutional Neural Network with Ensemble Learning
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    Chapter 32 A Novel Decision Tree Approach for the Handling of Time Series
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    Chapter 33 A Proposal to Estimate the Variable Importance Measures in Predictive Models Using Results from a Wrapper