Discovery Science 21st International Conference DS 2018 Limassol Cyprus October 29 31 2018 Proceedings Larisa 3030017710 9783030017712

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Product details:

• ISBN 10: 3030017710
• ISBN 13: 9783030017712
• Author: Larisa Soldatova

This book constitutes the proceedings of the 21st International Conference on Discovery Science, DS 2018, held in Limassol, Cyprus, in October 2018, co-located with the International Symposium on Methodologies for Intelligent Systems, ISMIS 2018. The 30 full papers presented together with 5 abstracts of invited talks in this volume were carefully reviewed and selected from 71 submissions. The scope of the conference includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various scientific domains. The papers are organized in the following topical sections: Classification; meta-learning; reinforcement learning; streams and time series; subgroup and subgraph discovery; text mining; and applications.

Table of contents:

1. Addressing Local Class Imbalance in Balanced Datasets with Dynamic Impurity Decision Trees
2. Barricaded Boundary Minority Oversampling LS-SVM for a Biased Binary Classification
3. Dynamic Classifier Chain with Random Decision Trees
4. Feature Ranking with Relief for Multi-label Classification: Does Distance Matter?
5. Finding Probabilistic Rule Lists using the Minimum Description Length Principle
6. Leveraging Reproduction-Error Representations for Multi-Instance Classification
7. Meta-Learning
8. Class Balanced Similarity-Based Instance Transfer Learning for Botnet Family Classification
9. CF4CF-META: Hybrid Collaborative Filtering Algorithm Selection Framework
10. MetaUtil: Meta Learning for Utility Maximization in Regression
11. Predicting Rice Phenotypes with Meta-learning
12. Reinforcement Learning
13. Preference-Based Reinforcement Learning Using Dyad Ranking
14. Streams and Time Series
15. COBRASTS: A New Approach to Semi-supervised Clustering of Time Series
16. Exploiting the Web for Semantic Change Detection
17. Online Gradient Boosting for Incremental Recommender Systems
18. Selection of Relevant and Non-Redundant Multivariate Ordinal Patterns for Time Series Classification
19. Self Hyper-Parameter Tuning for Data Streams
20. Subgroup and Subgraph Discovery
21. Compositional Subgroup Discovery on Attributed Social Interaction Networks
22. Exceptional Attributed Subgraph Mining to Understand the Olfactory Percept
23. Extending Redescription Mining to Multiple Views
24. Text Mining
25. Author Tree-Structured Hierarchical Dirichlet Process
26. k-NN Embedding Stability for word2vec Hyper-Parametrisation in Scientific Text
27. Hierarchical Expert Profiling Using Heterogeneous Information Networks
28. Filtering Documents for Plagiarism Detection
29. Most Important First – Keyphrase Scoring for Improved Ranking in Settings With Limited Keyphrases
30. WS4ABSA: An NMF-Based Weakly-Supervised Approach for Aspect-Based Sentiment Analysis with Application to Online Reviews
31. Applications
32. Finding Topic-Specific Trends and Influential Users in Social Networks
33. Identifying Control Parameters in Cheese Fabrication Process Using Precedence Constraints
34. Less is More: Univariate Modelling to Detect Early Parkinson’s Disease from Keystroke Dynamics
35. Sky Writer: Towards an Intelligent Smart-phone Gesture Tracing and Recognition Framework
36. Visualization and Analysis of Parkinson’s Disease Status and Therapy Patterns

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