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» CURE: An Efficient Clustering Algorithm for Large Databases
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147
Voted
PAKDD
2001
ACM
148views Data Mining» more  PAKDD 2001»
15 years 8 months ago
Scalable Hierarchical Clustering Method for Sequences of Categorical Values
Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...
141
Voted
VLDB
1998
ACM
192views Database» more  VLDB 1998»
15 years 7 months ago
Algorithms for Mining Distance-Based Outliers in Large Datasets
This paper deals with finding outliers (exceptions) in large, multidimensional datasets. The identification of outliers can lead to the discovery of truly unexpected knowledge in ...
Edwin M. Knorr, Raymond T. Ng
137
Voted
ICDE
2007
IEEE
134views Database» more  ICDE 2007»
15 years 10 months ago
Outlier Detection for Fine-grained Load Balancing in Database Clusters
Recent industry trends towards reducing the costs of ownership in large data centers emphasize the need for database system techniques for both automatic performance tuning and ef...
Jin Chen, Gokul Soundararajan, Madalin Mihailescu,...
212
Voted
SIGMOD
2008
ACM
131views Database» more  SIGMOD 2008»
16 years 3 months ago
Discovering topical structures of databases
The increasing complexity of enterprise databases and the prevalent lack of documentation incur significant cost in both understanding and integrating the databases. Existing solu...
Wensheng Wu, Berthold Reinwald, Yannis Sismanis, R...
152
Voted
APWEB
2004
Springer
15 years 9 months ago
Semantic, Hierarchical, Online Clustering of Web Search Results
Today, search engine is the most commonly used tool for Web information retrieval, however, its current status is still far from satisfaction. This paper focuses on clustering Web...
Dell Zhang, Yisheng Dong