Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Data mining: concepts and techniques
Data mining: concepts and techniques
Principles of data mining
Towards long pattern generation in dense databases
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
Readings in Machine Learning
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
Data Mining and Knowledge Discovery
Scaling Kernel-Based Systems to Large Data Sets
Data Mining and Knowledge Discovery
A Decision Criterion for the Optimal Number of Clusters in Hierarchical Clustering
Journal of Global Optimization
Approximations in Database Systems
ICDT '03 Proceedings of the 9th International Conference on Database Theory
Discovering decision rules from numerical data streams
Proceedings of the 2004 ACM symposium on Applied computing
A k-Median Algorithm with Running Time Independent of Data Size
Machine Learning
Toward Integrating Feature Selection Algorithms for Classification and Clustering
IEEE Transactions on Knowledge and Data Engineering
Mining association rules in very large clustered domains
Information Systems
IEEE Transactions on Knowledge and Data Engineering
Prototype Proliferation in the Growing Neural Gas Algorithm
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
Data mining as an automated service
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
σ-SCLOPE: clustering categorical streams using attribute selection
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Streaming data reduction using low-memory factored representations
Information Sciences: an International Journal
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Which insights about data structure make it possible to analyze the very large databases collected by Internet, business, scientific, and government applications?