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Machine Intelligence and Big Data in Industry

  • Book
  • © 2016

Overview

Editors:
  1. Dominik Ryżko

    1. Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland

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  2. Piotr Gawrysiak

    1. Institute of Computer Science, Warsaw University of Technology, Abo, Poland

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  3. Marzena Kryszkiewicz

    1. Institute of Computer Science, Warsaw University of Technology, Warszawa, Poland

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  4. Henryk Rybiński

    1. Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland

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  • Presents valuable contributions devoted to practical applications of Machine Intelligence and Big Data in various branches of industry
  • Extended versions of presentations delivered at the Industrial Session of the 6th International Conference on Pattern Recognition and Machine Intelligence (PREMI 2015) held in Warsaw, Poland at June 30- July 3, 2015
  • Addresses real world problems and shows innovative solutions for them
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Big Data (SBD, volume 19)

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-viii
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  2. Text Processing

    1. Front Matter

      Pages 1-1
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    2. Automatic Sentiment Analysis in Polish Language

      • Antoni Sobkowicz
      Pages 3-10

    3. Learning Curve with Machine Translation Based on Parallel, Bilingual Corpora

      • Maciej Kowalski
      Pages 11-21

    4. N-Gram Collection from a Large-Scale Corpus of Polish Internet

      • Szymon Roziewski, Wojciech Stokowiec, Antoni Sobkowicz
      Pages 23-34

    5. Study Fields Clustering Using KRK Competences

      • Marek Kozlowski
      Pages 35-47

    6. Semantic Textual Similarity Using Various Approaches

      • Maciej Kazuła, Marek Kozłowski
      Pages 49-62

  3. Data Mining

    1. Front Matter

      Pages 63-63
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    2. Identification of Diabetes Disease Using Committees of Neural Network-Based Classifiers

      • Ali Hassan El-Baz, Aboul Ella Hassanien, Gerald Schaefer
      Pages 65-74

    3. Enzyme Function Classification Based on Borda Count Ranking Aggregation Method

      • Mahir M. Sharif, Alaa Tharwat, Aboul Ella Hassanien, Hesham A. Hefny, Gerald Schaefer
      Pages 75-85

    4. Mining of Frequent Action Rules

      • Agnieszka Dardzinska, Anna Romaniuk
      Pages 87-95

  4. Text and Multimedia Processing

    1. Front Matter

      Pages 97-97
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    2. Automatic Translation of Multi-word Labels

      • Grzegorz Protaziuk, Marcin Kaczyński, Robert Bembenik
      Pages 99-109

    3. VTLN Using Different Warping Functions for Template Matching

      • Maulik C. Madhavi, Shubham Sharma, Hemant A. Patil
      Pages 111-121

    4. A Comparative Study on Music Genre Classification Algorithms

      • Wojciech Stokowiec
      Pages 123-132

  5. Software

    1. Front Matter

      Pages 133-133
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    2. Information Selection and Data Compression RapidMiner Library

      • Marcin Blachnik, Mirosław Kordos
      Pages 135-145

    3. Automatic Clustering Methods of Offers in an E-Commerce Marketplace

      • Anna Wroblewska, Bartlomiej Twardowski, Pawel Zawistowski, Dominik Ryżko
      Pages 147-160

    4. Application of Machine Learning Algorithms for Bitcoin Automated Trading

      • Kamil Żbikowski
      Pages 161-168

  6. Complex Systems, Internet of Things and Agent Systems

    1. Front Matter

      Pages 169-169
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Keywords

About this book

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.<

Editors and Affiliations

  • Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland

    Dominik Ryżko, Henryk Rybiński

  • Institute of Computer Science, Warsaw University of Technology, Abo, Poland

    Piotr Gawrysiak

  • Institute of Computer Science, Warsaw University of Technology, Warszawa, Poland

    Marzena Kryszkiewicz

Bibliographic Information

  • Book Title: Machine Intelligence and Big Data in Industry

  • Editors: Dominik Ryżko, Piotr Gawrysiak, Marzena Kryszkiewicz, Henryk Rybiński

  • Series Title: Studies in Big Data

  • DOI: https://doi.org/10.1007/978-3-319-30315-4

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG, part of Springer Nature 2016

  • Hardcover ISBN: 978-3-319-30314-7Published: 04 April 2016

  • Softcover ISBN: 978-3-319-80778-2Published: 25 April 2018

  • eBook ISBN: 978-3-319-30315-4Published: 24 March 2016

  • Series ISSN: 2197-6503

  • Series E-ISSN: 2197-6511

  • Edition Number: 1

  • Number of Pages: VIII, 236

  • Number of Illustrations: 23 b/w illustrations, 39 illustrations in colour

  • Topics: Computational Intelligence, Data Mining and Knowledge Discovery, Big Data/Analytics, Industrial and Production Engineering

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