Data mining: concepts and techniques
Data mining: concepts and techniques
Slim-Trees: High Performance Metric Trees Minimizing Overlap Between Nodes
EDBT '00 Proceedings of the 7th International Conference on Extending Database Technology: Advances in Database Technology
On the Surprising Behavior of Distance Metrics in High Dimensional Spaces
ICDT '01 Proceedings of the 8th International Conference on Database Theory
Efficient Clustering of Uncertain Data
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
Finding frequent items in probabilistic data
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Efficient Processing of Top-k Queries in Uncertain Databases with x-Relations
IEEE Transactions on Knowledge and Data Engineering
ACM Transactions on Knowledge Discovery from Data (TKDD)
A Framework for Clustering Uncertain Data Streams
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Probabilistic frequent itemset mining in uncertain databases
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
A unified approach to ranking in probabilistic databases
Proceedings of the VLDB Endowment
Scalable Probabilistic Similarity Ranking in Uncertain Databases
IEEE Transactions on Knowledge and Data Engineering
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There are numerous data mining applications working in metric spaces. In the following we will exemplarily sketch three main topics in this area: the impact of metric similarity functions on data mining, data mining in uncertain data and mining high-dimensional data.