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ORCIDPKDD/ECML Workshop NFMCP 2013: Prague, Czech Republic
- Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco
, Elio Masciari, Zbigniew W. Ras:
New Frontiers in Mining Complex Patterns - Second International Workshop, NFMCP 2013, Held in Conjunction with ECML-PKDD 2013, Prague, Czech Republic, September 27, 2013, Revised Selected Papers. Lecture Notes in Computer Science 8399, Springer 2014, ISBN 978-3-319-08406-0
Data Streams and Time Series Analysis
- Rebecca Ong, Mirco Nanni, Chiara Renso, Monica Wachowicz, Dino Pedreschi:
Parameter Estimation and Pattern Validation in Flock Mining. 3-17 - Dominique Gay, Romain Guigourès, Marc Boullé, Fabrice Clérot:
Feature Extraction over Multiple Representations for Time Series Classification. 18-34 - Daniele Codecasa, Fabio Stella:
A Classification Based Scoring Function for Continuous Time Bayesian Network Classifiers. 35-50 - Elio Masciari, Shi Gao, Carlo Zaniolo:
Trajectory Data Pattern Mining. 51-66 - Sonja Pravilovic, Annalisa Appice, Donato Malerba:
Process Mining to Forecast the Future of Running Cases. 67-81
Classification, Clustering and Pattern Discovery
- Vladimer Kobayashi:
A Hybrid Distance-Based Method and Support Vector Machines for Emotional Speech Detection. 85-99 - Rui Henriques, Cláudia Antunes, Sara C. Madeira:
Methods for the Efficient Discovery of Large Item-Indexable Sequential Patterns. 100-116 - Takashi Katoh, Shin-ichiro Tago, Tatsuya Asai, Hiroaki Morikawa, Junichi Shigezumi, Hiroya Inakoshi:
Mining Frequent Partite Episodes with Partwise Constraints. 117-131 - Jan Górecki, Martin Holena:
Structure Determination and Estimation of Hierarchical Archimedean Copulas Based on Kendall Correlation Matrix. 132-147 - Ivica Slavkov, Jana Karcheska, Dragi Kocev, Slobodan Kalajdziski, Saso Dzeroski:
ReliefF for Hierarchical Multi-label Classification. 148-161 - Jurica Levatic, Dragi Kocev, Saso Dzeroski:
The Use of the Label Hierarchy in Hierarchical Multi-label Classification Improves Performance. 162-177
Graphs, Networks and Relational Data
- Michael Davis, Weiru Liu, Paul Miller, Ruth F. Hunter, Frank Kee:
Agwan: A Generative Model for Labelled, Weighted Graphs. 181-200 - Pietro Hiram Guzzi, Pierangelo Veltri, Mario Cannataro:
Thresholding of Semantic Similarity Networks Using a Spectral Graph-Based Technique. 201-213 - Fabio Leuzzi, Stefano Ferilli, Fulvio Rotella:
A Relational Unsupervised Approach to Author Identification. 214-228
Machine Learning and Music Data
- Amanda Cohen Mostafavi, Zbigniew W. Ras, Alicja A. Wieczorkowska:
From Personalized to Hierarchically Structured Classifiers for Retrieving Music by Mood. 231-245 - Elzbieta Kubera, Alicja A. Wieczorkowska:
Mining Audio Data for Multiple Instrument Recognition in Classical Music. 246-260
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