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Mining Intelligence and Knowledge Exploration

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Cover of '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
Overall attention for this book and its chapters
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Mentioned by

twitter
3 tweeters
wikipedia
1 Wikipedia page

Readers on

mendeley
23 Mendeley
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Title
Mining Intelligence and Knowledge Exploration
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-05918-7
ISBNs
978-3-03-005917-0, 978-3-03-005918-7
Editors

Groza, Adrian, Prasath, Rajendra

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 17%
Researcher 4 17%
Student > Master 2 9%
Student > Doctoral Student 2 9%
Unspecified 2 9%
Other 6 26%
Unknown 3 13%
Readers by discipline Count As %
Computer Science 10 43%
Engineering 5 22%
Unspecified 2 9%
Linguistics 1 4%
Medicine and Dentistry 1 4%
Other 1 4%
Unknown 3 13%