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E-grāmata: Machine Learning and Knowledge Extraction: Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018, Hamburg, Germany, August 27-30, 2018, Proceedings

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  • Formāts: EPUB+DRM
  • Sērija : Lecture Notes in Computer Science 11015
  • Izdošanas datums: 23-Aug-2018
  • Izdevniecība: Springer International Publishing AG
  • Valoda: eng
  • ISBN-13: 9783319997407
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  • Formāts: EPUB+DRM
  • Sērija : Lecture Notes in Computer Science 11015
  • Izdošanas datums: 23-Aug-2018
  • Izdevniecība: Springer International Publishing AG
  • Valoda: eng
  • ISBN-13: 9783319997407
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This book constitutes the refereed proceedings of the IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2018, held in Hamburg, Germany, in September 2018.
The 25 revised full papers presented were carefully reviewed and selected from 45 submissions. The papers are clustered under the following topical sections: MAKE-Main Track, MAKE-Text, MAKE-Smart Factory, MAKE-Topology, and MAKE Explainable AI. 

Current Advances, Trends and Challenges of Machine Learning and Knowledge Extraction: From Machine Learning to Explainable AI
1(10)
Andreas Holzinger
Peter Kieseberg
Edgar Weippl
A. Min Tjoa
MARK Main Track
A Modified Particle Swarm Optimization Algorithm for Community Detection in Complex Networks
11(17)
Alireza Abdollahpouri
Shadi Rahimi
Shahnaz Mohammadi Majd
Chiman Salavati
Mouse Tracking Measures and Movement Patterns with Application for Online Surveys
28(15)
Catia Cepeda
Joao Rodrigues
Maria Camila Dias
Diogo Oliveira
Dina Rindlisbacher
Marcus Cheetham
Hugo Gamboa
Knowledge Compilation Techniques for Model-Based Diagnosis of Complex Active Systems
43(22)
Gianfranco Lamperti
Marina Zanella
Xiangfu Zhao
Recognition of Handwritten Characters Using Google Fonts and Freeman Chain Codes
65(14)
Alexiei Dingli
Mark Bugeja
Dylan Seychell
Simon Mercieca
An Efficient Approach for Extraction Positive and Negative Association Rules from Big Data
79(19)
Bemarisika Parfait
Ramanantsoa Harrimann
Totohasina Andre
Field-Reliability Predictions Based on Statistical System Lifecycle Models
98(20)
Lukas Felsberger
Dieter Kranzlmuller
Benjamin Todd
Building a Knowledge Based Summarization System for Text Data Mining
118(16)
Andrey Timofeyev
Ben Choi
Spanish Twitter Data Used as a Source of Information About Consumer Food Choice
134(13)
Luis G. Moreno-Sandoval
Carolina Sanchez-Barriga
Katherine Espindola Buitrago
Alexandra Pomares-Quimbaya
Juan Carlos Garcia
Feedback Matters! Predicting the Appreciation of Online Articles A Data-Driven Approach
147(13)
Catherine Sotirakou
Panagiotis Germanakos
Andreas Holzinger
Constantinos Mourlas
Creative Intelligence - Automating Car Design Studio with Generative Adversarial Networks (GAN)
160(19)
Sreedhar Radhakrishnan
Varun Bharadwaj
Varun Manjunath
Ramamoorthy Srinath
MAKE-Text
A Combined CNN and LSTM Model for Arabic Sentiment Analysis
179(13)
Abdulaziz M. Alayba
Vasile Palade
Matthew England
Rabat Iqbal
Between the Lines: Machine Learning for Prediction of Psychological Traits - A Survey
192(20)
Dirk Johannfien
Chris Biemann
LawStats -- Large-Scale German Court Decision Evaluation Using Web Service Classifiers
212(11)
Eugen Ruppert
Dirk Hartung
Phillip Sittig
Tjorben Gschwander
Lennart Ronneburg
Tobias Killing
Chris Biemann
Clinical Text Mining for Context Sequences Identification
223(16)
Svetla Boytcheva
MAKE-Smart Factory
A Multi-device Assistive System for Industrial Maintenance Operations
239(9)
Mario Heinz
Hitesh Dhiman
Carsten Rocker
Feedback Presentation for Workers in Industrial Environments - Challenges and Opportunities
248(17)
Mario Heinz
Carsten Rocker
MAKE-Topology
On a New Method to Build Group Equivariant Operators by Means of Permutants
265(8)
Francesco Camporesi
Patrizio Frosini
Nicola Quercioli
Topological Characteristics of Digital Models of Geological Core
273(9)
Rustem R. Gilmanov
Alexander V. Kalyuzhnyuk
Iskander A. Taimanov
Andrey A. Yakovlev
Shortened Persistent Homology for a Biomedical Retrieval System with Relevance Feedback
282(13)
Alessia Angeli
Massimo Ferri
Eleonora Monti
Ivan Tomba
MAKE Explainable AI
Explainable AI: The New 42?
295(9)
Randy Goebel
Ajay Chander
Katharina Holzinger
Freddy Lecue
Zeynep Akata
Simone Stumpf
Peter Kieseberg
Andreas Holzinger
A Rule Extraction Study Based on a Convolutional Neural Network
304(10)
Guido Bologna
Evaluating Explanations by Cognitive Value
314(15)
Ajay Chander
Ramya Srinivasan
Measures of Model Interpretability for Model Selection
329(21)
Andre Carrington
Paul Fieguth
Helen Chen
Regular Inference on Artificial Neural Networks
350(21)
Franz Mayr
Sergio Yovine
Author Index 371