CURE: an efficient clustering algorithm for large databases
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
The art of computer programming, volume 3: (2nd ed.) sorting and searching
The art of computer programming, volume 3: (2nd ed.) sorting and searching
Cluster ensembles: a knowledge reuse framework for combining partitionings
Eighteenth national conference on Artificial intelligence
Architectural styles and the design of network-based software architectures
Architectural styles and the design of network-based software architectures
Manipulation, analysis and retrieval systems for audio signals
Manipulation, analysis and retrieval systems for audio signals
Automatic Feature Extraction for Classifying Audio Data
Machine Learning
YALE: rapid prototyping for complex data mining tasks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Distributed Data Mining in Peer-to-Peer Networks
IEEE Internet Computing
The Description Logic Handbook
The Description Logic Handbook
Distributed feature extraction in a p2p setting: a case study
Future Generation Computer Systems - Special section: Data mining in grid computing environments
Localized alternative cluster ensembles for collaborative structuring
ECML'06 Proceedings of the 17th European conference on Machine Learning
Efficient case based feature construction
ECML'05 Proceedings of the 16th European conference on Machine Learning
Content-based audio classification and retrieval by support vector machines
IEEE Transactions on Neural Networks
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Multimedia applications have received quite some interest. Embedding them into a framework of ubiquitous computing and peer-to-peer Web 2.0 applications raises research questions of resource-awareness which are not that demanding within a server-based framework. In this chapter, we present Nemoz, a collaborative music organizer based on distributed data and multimedia mining techniques. We introduce the Nemoz platform before focusing on the steps of intelligent collaborative structuring of multimedia collections, namely, feature extraction and distributed data mining. We summarize the characteristics of knowledge discovery in ubiquitous computing that have been handled within the Nemoz project.