Machine Intelligence and Big Data in Industry

✍ Scribed by Dominik Ryżko, Piotr Gawrysiak, Marzena Kryszkiewicz, Henryk Rybiński (eds.)

• Publisher: Springer International Publishing
• Year: 2016
• Tongue: English
• Leaves: 231
• Series: Studies in Big Data 19
• Edition: 1
• Category: Library

✦ Synopsis

This book presents valuable contributions devoted to practical applications of Machine Intelligence and Big Data in various branches of the industry. All the contributions are extended versions of presentations delivered at the Industrial Session the 6th International Conference on Pattern Recognition and Machine Intelligence (PREMI 2015) held in Warsaw, Poland at June 30- July 3, 2015, which passed through a rigorous reviewing process. The contributions address real world problems and show innovative solutions used to solve them. This volume will serve as a bridge between researchers and practitioners, as well as between different industry branches, which can benefit from sharing ideas and results.<

✦ Table of Contents

Front Matter....Pages i-viii
Front Matter....Pages 1-1
Automatic Sentiment Analysis in Polish Language....Pages 3-10
Learning Curve with Machine Translation Based on Parallel, Bilingual Corpora....Pages 11-21
N-Gram Collection from a Large-Scale Corpus of Polish Internet....Pages 23-34
Study Fields Clustering Using KRK Competences....Pages 35-47
Semantic Textual Similarity Using Various Approaches....Pages 49-62
Front Matter....Pages 63-63
Identification of Diabetes Disease Using Committees of Neural Network-Based Classifiers....Pages 65-74
Enzyme Function Classification Based on Borda Count Ranking Aggregation Method....Pages 75-85
Mining of Frequent Action Rules ....Pages 87-95
Front Matter....Pages 97-97
Automatic Translation of Multi-word Labels ....Pages 99-109
VTLN Using Different Warping Functions for Template Matching....Pages 111-121
A Comparative Study on Music Genre Classification Algorithms....Pages 123-132
Front Matter....Pages 133-133
Information Selection and Data Compression RapidMiner Library....Pages 135-145
Automatic Clustering Methods of Offers in an E-Commerce Marketplace....Pages 147-160
Application of Machine Learning Algorithms for Bitcoin Automated Trading....Pages 161-168
Front Matter....Pages 169-169
Maximal Discernibility Discretization of Attributes—A FPGA Approach....Pages 171-180
Big Data Solutions for Smart Grids and Smart Meters....Pages 181-200
Intelligent System of Limited Resource Allocation for Large-Scale Agent Systems....Pages 201-215
Searching for Logical Patterns in Multi-sensor Data from the Industrial Internet....Pages 217-233
Back Matter....Pages 235-236

✦ Subjects

Computational Intelligence; Data Mining and Knowledge Discovery; Big Data/Analytics; Industrial and Production Engineering