Fast discovery of association rules
Advances in knowledge discovery and data mining
Rough set algorithms in classification problem
Rough set methods and applications
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Feature Extraction, Construction and Selection: A Data Mining Perspective
Feature Extraction, Construction and Selection: A Data Mining Perspective
Classification Algorithms Based on Linear Combinations of Features
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
Audio Content Description in Sound Databases
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
RSES and RSESlib - A Collection of Tools for Rough Set Computations
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
Temporal Templates and Analysis of Time Related Data
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
Application of Temporal Descriptors to Musical Instrument Sound Recognition
Journal of Intelligent Information Systems
Automatic recognition of isolated monophonic musical instrument sounds using kNNC
Journal of Intelligent Information Systems - Special issue: Intelligent multimedia applications
Knowledge discovery-based identification of musical pitches and instruments in polyphonic sounds
Engineering Applications of Artificial Intelligence
Blind signal separation of similar pitches and instruments in a noisy polyphonic domain
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Do we need automatic indexing of musical instruments?
IMTCI'04 Proceedings of the Second international conference on Intelligent Media Technology for Communicative Intelligence
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Automatic content extraction from multimedia files is a hot topic nowadays. Moving Picture Experts Group develops MPEG-7 standard, which aims to define a unified interface for multimedia content description, including audio data. Audio description in MPEG-7 comprises features that can be useful for any content-based search of sound files. In this paper, we investigate how to optimize sound representation in terms of musical instrument recognition purposes. We propose to trace trends in evolution of values of MPEG-7 descriptors in time, as well as their combinations. Described process is a typical example of KDD application, consisting of data preparation, feature extraction and decision model construction. Discussion of efficiency of applied classifiers illustrates capabilities of further progress in optimization of sound representation. We believe that further research in this area would provide background for automatic multimedia content description.