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Intelligent Methods and Big Data in Industrial Applications

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Cover of 'Intelligent Methods and Big Data in Industrial Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Nonlinear Forecasting of Energy Futures
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    Chapter 2 Implementation of Generic Steering Algorithms for AI Agents in Computer Games
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    Chapter 3 The Dilemma of Innovation–Artificial Intelligence Trade-Off
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    Chapter 4 Can We Build Recommender System for Artwork Evaluation?
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    Chapter 5 Modelling OpenStreetMap Data for Determination of the Fastest Route Under Varying Driving Conditions
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    Chapter 6 Evolution Algorithm for Community Detection in Social Networks Using Node Centrality
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    Chapter 7 High Performance Computing by the Crowd
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    Chapter 8 Zero-Overhead Monitoring of Remote Terminal Devices
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    Chapter 9 Asynchronous Specification of Production Cell Benchmark in Integrated Model of Distributed Systems
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    Chapter 10 Implementing the Bus Protocol of a Microprocessor in a Software-Defined Computer
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    Chapter 11 ISMIS 2017 Data Mining Competition: Trading Based on Recommendations - XGBoost Approach with Feature Engineering
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    Chapter 12 Fast Discovery of Generalized Sequential Patterns
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    Chapter 13 Seismic Attributes Similarity in Facies Classification
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    Chapter 14 Efficient Discovery of Sequential Patterns from Event-Based Spatio-Temporal Data by Applying Microclustering Approach
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    Chapter 15 Unsupervised Machine Learning in Classification of Neurobiological Data
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    Chapter 16 Incorporating Fuzzy Logic in Object-Relational Mapping Layer for Flexible Medical Screenings
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    Chapter 17 Multimodal Learning Determines Rules of Disease Development in Longitudinal Course with Parkinson’s Patients
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    Chapter 18 Comparison of Methods for Real and Imaginary Motion Classification from EEG Signals
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    Chapter 19 Procedural Generation of Multilevel Dungeons for Application in Computer Games using Schematic Maps and L-system
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    Chapter 20 An HMM-Based Framework for Supporting Accurate Classification of Music Datasets
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    Chapter 21 Classification of Music Genres by Means of Listening Tests and Decision Algorithms
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    Chapter 22 Handwritten Signature Verification System Employing Wireless Biometric Pen
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    Chapter 23 Towards Entity Timeline Analysis in Polish Political News
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    Chapter 24 Automatic Legal Document Analysis: Improving the Results of Information Extraction Processes Using an Ontology
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    Chapter 25 To Improve, or Not to Improve; How Changes in Corpora Influence the Results of Machine Learning Tasks on the Example of Datasets Used for Paraphrase Identification
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    Chapter 26 Context Sensitive Sentiment Analysis of Financial Tweets: A New Dictionary
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Intelligent Methods and Big Data in Industrial Applications
Published by
Springer International Publishing, May 2018
DOI 10.1007/978-3-319-77604-0
978-3-31-977603-3, 978-3-31-977604-0

Bembenik, Robert, Skonieczny, Łukasz, Protaziuk, Grzegorz, Kryszkiewicz, Marzena, Rybinski, Henryk

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 21%
Lecturer 4 17%
Student > Ph. D. Student 4 17%
Student > Doctoral Student 3 13%
Researcher 3 13%
Other 1 4%
Unknown 4 17%
Readers by discipline Count As %
Computer Science 12 50%
Engineering 4 17%
Business, Management and Accounting 1 4%
Mathematics 1 4%
Economics, Econometrics and Finance 1 4%
Other 1 4%
Unknown 4 17%