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Machine Intelligence and Big Data in Industry

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Cover of 'Machine Intelligence and Big Data in Industry'

Table of Contents

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    Book Overview
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    Chapter 1 Automatic Sentiment Analysis in Polish Language
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    Chapter 2 Learning Curve with Machine Translation Based on Parallel, Bilingual Corpora
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    Chapter 3 N-Gram Collection from a Large-Scale Corpus of Polish Internet
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    Chapter 4 Study Fields Clustering Using KRK Competences
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    Chapter 5 Semantic Textual Similarity Using Various Approaches
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    Chapter 6 Identification of Diabetes Disease Using Committees of Neural Network-Based Classifiers
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    Chapter 7 Enzyme Function Classification Based on Borda Count Ranking Aggregation Method
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    Chapter 8 Mining of Frequent Action Rules
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    Chapter 9 Automatic Translation of Multi-word Labels
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    Chapter 10 VTLN Using Different Warping Functions for Template Matching
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    Chapter 11 A Comparative Study on Music Genre Classification Algorithms
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    Chapter 12 Information Selection and Data Compression RapidMiner Library
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    Chapter 13 Automatic Clustering Methods of Offers in an E-Commerce Marketplace
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    Chapter 14 Application of Machine Learning Algorithms for Bitcoin Automated Trading
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    Chapter 15 Maximal Discernibility Discretization of Attributes—A FPGA Approach
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    Chapter 16 Big Data Solutions for Smart Grids and Smart Meters
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    Chapter 17 Intelligent System of Limited Resource Allocation for Large-Scale Agent Systems
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    Chapter 18 Searching for Logical Patterns in Multi-sensor Data from the Industrial Internet
Attention for Chapter 14: Application of Machine Learning Algorithms for Bitcoin Automated Trading
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