Fast discovery of association rules
Advances in knowledge discovery and data mining
Rough set algorithms in classification problem
Rough set methods and applications
Regularity analysis and its applications in data mining
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
Rough Sets in Knowledge Discovery 2: Applications, Case Studies, and Software Systems
Rough Sets in Knowledge Discovery 2: Applications, Case Studies, and Software Systems
Discovery of Frequent Episodes in Event Sequences
Data Mining and Knowledge Discovery
Classification Algorithms Based on Linear Combinations of Features
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Audio Content Description in Sound Databases
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
Rough Sets as A Tool for Audio Signal Classification
ISMIS '99 Proceedings of the 11th International Symposium on Foundations of Intelligent Systems
KDD-Based Approach to Musical Instrument Sound Recognition
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
A New Version of Rough Set Exploration System
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Optimizing Self-Organizing Timbre Maps: Two Approaches
Music, Gestalt, and Computing - Studies in Cognitive and Systematic Musicology
Ensembles of Classifiers Based on Approximate Reducts
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P'2000)
Musical instrument recognition using cepstral coefficients and temporal features
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
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
Sound Isolation by Harmonic Peak Partition For Music Instrument Recognition
Fundamenta Informaticae - Special issue ISMIS'05
Multiclass MTS for saxophone timbre quality inspection using waveform-shape-based features
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Quality of musical instrument sound identification for various levels of accompanying sounds
MCD'07 Proceedings of the 3rd ECML/PKDD international conference on Mining complex data
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
Some issues on detecting emotions in music
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Extracting emotions from music data
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Towards extracting emotions from music
IMTCI'04 Proceedings of the Second international conference on Intelligent Media Technology for Communicative Intelligence
Processing of musical data employing rough sets and artificial neural networks
Transactions on Rough Sets III
Sound Isolation by Harmonic Peak Partition For Music Instrument Recognition
Fundamenta Informaticae - Special issue ISMIS'05
Zebra mussels' behaviour detection, extraction and classification using wavelets and kernel methods
Future Generation Computer Systems
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An automatic content extraction from multimedia files is recently being extensively explored However, an automatic content description of musical sounds has not been broadly investigated and still needs an intensive research. In this paper, we investigate how to optimize sound representation in terms of musical instrument recognition purposes. We propose to trace trends in the 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 possible progress in the optimization of sound representation. We believe that further research in this area would provide background for an automatic multimedia content description.