Automatic text processing
Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
Chord: A scalable peer-to-peer lookup service for internet applications
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Parallel and Distributed Association Mining: A Survey
IEEE Concurrency
Distributed Data Mining in Credit Card Fraud Detection
IEEE Intelligent Systems
Machine Learning
Making gnutella-like P2P systems scalable
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
Lightweight probabilistic broadcast
ACM Transactions on Computer Systems (TOCS)
Association Rule Mining in Peer-to-Peer Systems
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Grid-enabled data warehousing for molecular engineering
Parallel Computing - Special issue: High-performance parallel bio-computing
Automatic Feature Extraction for Classifying Audio Data
Machine Learning
Future Generation Computer Systems - Special issue: P2P computing and interaction with grids
A super-peer model for resource discovery services in large-scale grids
Future Generation Computer Systems
Distributed Data Mining in Peer-to-Peer Networks
IEEE Internet Computing
Efficient case based feature construction
ECML'05 Proceedings of the 16th European conference on Machine Learning
Distributed Data Mining in Peer-to-Peer Networks
IEEE Internet Computing
An agent-based framework for distributed learning
Engineering Applications of Artificial Intelligence
A simulated annealing feature extraction approach for hyperspectral images
Future Generation Computer Systems
Introduction: the challenge of ubiquitous knowledge discovery
Ubiquitous knowledge discovery
Ubiquitous knowledge discovery
Nemoz: a distributed framework for collaborative media organization
Ubiquitous knowledge discovery
Introduction: the challenge of ubiquitous knowledge discovery
Ubiquitous knowledge discovery
Ubiquitous knowledge discovery
Nemoz: a distributed framework for collaborative media organization
Ubiquitous knowledge discovery
Context-aware collaborative data stream mining in ubiquitous devices
IDA'11 Proceedings of the 10th international conference on Advances in intelligent data analysis X
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Finding the right data representation is essential for virtually every data mining application. In this work we describe an approach to collaborative feature extraction, selection and aggregation in distributed, loosely coupled domains. In contrast to other work in the field of distributed data mining, we focus on scenarios in which a large number of loosely coupled nodes apply data mining to different, usually very small and overlapping, subsets of the entire data space. The aim is not to find a global concept to cover all data, but to learn a set of local concepts. Our prototypical application is a distributed media organization platform, called Nemoz, that assists users in maintaining their media collections. We propose two models for collaborative feature extraction, selection and aggregation for supervised data mining. One is based on a centralized p2p architecture, and the other on a fully distributed p2p architecture. We compare both models on a real word data set and discuss their advantages and problems.