Resource aware distributed knowledge discovery

The Strength of Weak Learnability

Machine Learning

KQML as an agent communication language

CIKM '94 Proceedings of the third international conference on Information and knowledge management

The nature of statistical learning theory

The nature of statistical learning theory

Randomized algorithms

Randomized algorithms

Mining high-speed data streams

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining

Using the fractal dimension to cluster datasets

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining

Mining time-changing data streams

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining

Requirements for clustering data streams

ACM SIGKDD Explorations Newsletter

Models and issues in data stream systems

Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems

The Need for Low Bias Algorithms in Classification Learning from Large Data Sets

PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery

Distributed data mining on the grid

Future Generation Computer Systems - Grid computing: Towards a new computing infrastructure

Online ensemble learning

Online ensemble learning

Accurate decision trees for mining high-speed data streams

Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining

HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks

IEEE Transactions on Mobile Computing

Orthogonal Decision Trees

ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining

Hierarchical Decision Tree Induction in Distributed Genomic Databases

IEEE Transactions on Knowledge and Data Engineering

A framework for resource-aware knowledge discovery in data streams: a holistic approach with its application to clustering

Proceedings of the 2006 ACM symposium on Applied computing

Distributed Data Mining in Peer-to-Peer Networks

IEEE Internet Computing

Data Streams: Models and Algorithms (Advances in Database Systems)

Data Streams: Models and Algorithms (Advances in Database Systems)

Approximate frequency counts over data streams

VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases

Detecting change in data streams

VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30

Learning from Data Streams: Processing Techniques in Sensor Networks

Learning from Data Streams: Processing Techniques in Sensor Networks

Cluster-based novel concept detection in data streams applied to intrusion detection in computer networks

Proceedings of the 2008 ACM symposium on Applied computing

Hierarchical Clustering of Time-Series Data Streams

IEEE Transactions on Knowledge and Data Engineering

An adaptive prequential learning framework for bayesian network classifiers

PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases