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Foundations of Intelligent Systems

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Cover of 'Foundations of Intelligent Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Fully Automatic Classification of Flow Cytometry Data
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    Chapter 2 Positive Unlabeled Link Prediction via Transfer Learning for Gene Network Reconstruction
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    Chapter 3 Early Detection of Heart Symptoms with Convolutional Neural Network and Scattering Wavelet Transformation
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    Chapter 4 Rough Sets: Visually Discerning Neurological Functionality During Thought Processes
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    Chapter 5 Solving the Maximal Clique Problem on Compressed Graphs
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    Chapter 6 Clones in Graphs
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    Chapter 7 Knowledge-Based Mining of Exceptional Patterns in Logistics Data: Approaches and Experiences in an Industry 4.0 Context
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    Chapter 8 An Intra-algorithm Comparison Study of Complete Search FSM Implementations in Centralized Graph Transaction Databases
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    Chapter 9 Critical Link Identification Based on Bridge Detection for Network with Uncertain Connectivity
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    Chapter 10 Deep Neural Networks for Face Recognition: Pairwise Optimisation
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    Chapter 11 Mobile Application with Image Recognition for Persons with Aphasia
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    Chapter 12 A Comparative Study on Soft Biometric Approaches to Be Used in Retail Stores
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    Chapter 13 Low Cost Intelligent System for the 2D Biomechanical Analysis of Road Cyclists
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    Chapter 14 An Approach for the Police Districting Problem Using Artificial Intelligence
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    Chapter 15 Unsupervised Vehicle Recognition Using Incremental Reseeding of Acoustic Signatures
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    Chapter 16 A Big Data Framework for Analysis of Traffic Data in Italian Highways
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    Chapter 17 Traffic Data Classification for Police Activity
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    Chapter 18 Multipurpose Web-Platform for Labeling Audio Segments Efficiently and Effectively
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    Chapter 19 A Description Logic of Typicality for Conceptual Combination
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    Chapter 20 Sparse Multi-label Bilinear Embedding on Stiefel Manifolds
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    Chapter 21 Learning Latent Factors in Linked Multi-modality Data
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    Chapter 22 Researcher Name Disambiguation: Feature Learning and Affinity Propagation Clustering
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    Chapter 23 Hierarchical Clustering of High-Dimensional Data Without Global Dimensionality Reduction
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    Chapter 24 Exploiting Order Information Embedded in Ordered Categories for Ordinal Data Clustering
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    Chapter 25 User-Emotion Detection Through Sentence-Based Classification Using Deep Learning: A Case-Study with Microblogs in Albanian
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    Chapter 26 A Novel Personalized Citation Recommendation Approach Based on GAN
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    Chapter 27 Unsupervised LSTMs-based Learning for Anomaly Detection in Highway Traffic Data
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    Chapter 28 SCUT-DS: Learning from Multi-class Imbalanced Canadian Weather Data
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    Chapter 29 An Efficient Algorithm for Network Vulnerability Analysis Under Malicious Attacks
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    Chapter 30 An Instrumented Methodology to Analyze and Categorize Information Flows on Twitter Using NLP and Deep Learning: A Use Case on Air Quality
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    Chapter 31 Market-Aware Proactive Skill Posting
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    Chapter 32 Evidential Multi-relational Link Prediction Based on Social Content
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    Chapter 33 Predicting Temporal Activation Patterns via Recurrent Neural Networks
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    Chapter 34 Handling Multi-scale Data via Multi-target Learning for Wind Speed Forecasting
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    Chapter 35 Temporal Reasoning with Layered Preferences
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    Chapter 36 An Adaptive Three-Way Clustering Algorithm for Mixed-Type Data
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    Chapter 37 Three-Way Spectral Clustering
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    Chapter 38 The Granular Structures in Formal Concept Analysis
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    Chapter 39 Fuzzy RST and RST Rules Can Predict Effects of Different Therapies in Parkinson’s Disease Patients
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    Chapter 40 From Knowledge Discovery to Customer Attrition
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    Chapter 41 Initial Analysis of Multivariate Factors for Prediction of Shark Presence and Attacks on the Coast of North Carolina
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    Chapter 42 An Experimental Evaluation of Algorithms for Opinion Mining in Multi-domain Corpus in Albanian
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    Chapter 43 Predicting Author’s Native Language Using Abstracts of Scholarly Papers
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    Chapter 44 Identifying Exceptional Descriptions of People Using Topic Modeling and Subgroup Discovery
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Title
Foundations of Intelligent Systems
Published by
Springer International Publishing, December 2018
DOI 10.1007/978-3-030-01851-1
ISBNs
978-3-03-001850-4, 978-3-03-001851-1
Editors

Ceci, Michelangelo, Japkowicz, Nathalie, Liu, Jiming, Papadopoulos, George A., Raś, Zbigniew W.

Twitter Demographics

The data shown below were collected from the profiles of 13 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Other 2 25%
Student > Master 2 25%
Professor > Associate Professor 1 13%
Unknown 1 13%
Readers by discipline Count As %
Computer Science 5 63%
Business, Management and Accounting 1 13%
Social Sciences 1 13%
Unknown 1 13%