Intelligent Methods and Big Data in Industrial Applications

✍ Scribed by Robert Bembenik, Łukasz Skonieczny, Grzegorz Protaziuk, Marzena Kryszkiewicz, Henryk Rybinski

• Publisher: Springer International Publishing
• Year: 2019
• Tongue: English
• Leaves: 370
• Series: Studies in Big Data 40
• Edition: 1st ed.
• Category: Library

✦ Synopsis

The inspiration for this book came from the Industrial Session of the ISMIS 2017 Conference in Warsaw. It covers numerous applications of intelligent technologies in various branches of the industry. Intelligent computational methods and big data foster innovation and enable the industry to overcome technological limitations and explore the new frontiers. Therefore it is necessary for scientists and practitioners to cooperate and inspire each other, and use the latest research findings to create new designs and products. As such, the contributions cover solutions to the problems experienced by practitioners in the areas of artificial intelligence, complex systems, data mining, medical applications and bioinformatics, as well as multimedia- and text processing. Further, the book shows new directions for cooperation between science and industry and facilitates efficient transfer of knowledge in the area of intelligent information systems.

✦ Table of Contents

Front Matter ....Pages i-xv
Front Matter ....Pages 1-1
Nonlinear Forecasting of Energy Futures (Germán G. Creamer)....Pages 3-14
Implementation of Generic Steering Algorithms for AI Agents in Computer Games (Mateusz Modrzejewski, Przemysław Rokita)....Pages 15-27
The Dilemma of Innovation–Artificial Intelligence Trade-Off (Mieczyslaw Muraszkiewicz)....Pages 29-40
Can We Build Recommender System for Artwork Evaluation? (Cezary Pawlowski, Anna Gelich, Zbigniew W. Raś)....Pages 41-52
Modelling OpenStreetMap Data for Determination of the Fastest Route Under Varying Driving Conditions (Grzegorz Protaziuk, Robert Piątkowski, Robert Bembenik)....Pages 53-71
Evolution Algorithm for Community Detection in Social Networks Using Node Centrality (Krista Rizman Žalik)....Pages 73-87
Front Matter ....Pages 89-89
High Performance Computing by the Crowd (Nunziato Cassavia, Sergio Flesca, Michele Ianni, Elio Masciari, Giuseppe Papuzzo, Chiara Pulice)....Pages 91-101
Zero-Overhead Monitoring of Remote Terminal Devices (Jerzy Chrząszcz)....Pages 103-113
Asynchronous Specification of Production Cell Benchmark in Integrated Model of Distributed Systems (Wiktor B. Daszczuk)....Pages 115-129
Implementing the Bus Protocol of a Microprocessor in a Software-Defined Computer (Julia Kosowska, Grzegorz Mazur)....Pages 131-142
Front Matter ....Pages 143-143
ISMIS 2017 Data Mining Competition: Trading Based on Recommendations - XGBoost Approach with Feature Engineering (Katarzyna Baraniak)....Pages 145-154
Fast Discovery of Generalized Sequential Patterns (Marzena Kryszkiewicz, Łukasz Skonieczny)....Pages 155-170
Seismic Attributes Similarity in Facies Classification (Marcin Lewandowski, Łukasz Słonka)....Pages 171-181
Efficient Discovery of Sequential Patterns from Event-Based Spatio-Temporal Data by Applying Microclustering Approach (Piotr S. Macia̧g)....Pages 183-199
Front Matter ....Pages 201-201
Unsupervised Machine Learning in Classification of Neurobiological Data (Konrad A. Ciecierski, Tomasz Mandat)....Pages 203-212
Incorporating Fuzzy Logic in Object-Relational Mapping Layer for Flexible Medical Screenings (Bożena Małysiak-Mrozek, Hanna Mazurkiewicz, Dariusz Mrozek)....Pages 213-233
Multimodal Learning Determines Rules of Disease Development in Longitudinal Course with Parkinson’s Patients (Andrzej W. Przybyszewski, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski)....Pages 235-246
Comparison of Methods for Real and Imaginary Motion Classification from EEG Signals (Piotr Szczuko, Michał Lech, Andrzej Czyżewski)....Pages 247-257
Front Matter ....Pages 259-259
Procedural Generation of Multilevel Dungeons for Application in Computer Games using Schematic Maps and L-system (Izabella Antoniuk, Przemysław Rokita)....Pages 261-275
An HMM-Based Framework for Supporting Accurate Classification of Music Datasets (Alfredo Cuzzocrea, Enzo Mumolo, Gianni Vercelli)....Pages 277-289
Classification of Music Genres by Means of Listening Tests and Decision Algorithms (Aleksandra Dorochowicz, Piotr Hoffmann, Agata Majdańczuk, Bożena Kostek)....Pages 291-305
Handwritten Signature Verification System Employing Wireless Biometric Pen (Michał Lech, Andrzej Czyżewski)....Pages 307-319
Front Matter ....Pages 321-321
Towards Entity Timeline Analysis in Polish Political News (Katarzyna Baraniak, Marcin Sydow)....Pages 323-332
Automatic Legal Document Analysis: Improving the Results of Information Extraction Processes Using an Ontology (María G. Buey, Cristian Roman, Angel Luis Garrido, Carlos Bobed, Eduardo Mena)....Pages 333-351
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 (Krystyna Chodorowska, Barbara Rychalska, Katarzyna Pakulska, Piotr Andruszkiewicz)....Pages 353-366
Context Sensitive Sentiment Analysis of Financial Tweets: A New Dictionary (Narges Tabari, Mirsad Hadzikadic)....Pages 367-374
Back Matter ....Pages 375-376

✦ Subjects

Engineering; Computational Intelligence; Big Data/Analytics; Artificial Intelligence (incl. Robotics); Big Data; Data Mining and Knowledge Discovery