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KDD
2007
ACM
141views Data Mining» more  KDD 2007»
16 years 6 months ago
Detecting anomalous records in categorical datasets
We consider the problem of detecting anomalies in high arity categorical datasets. In most applications, anomalies are defined as data points that are 'abnormal'. Quite ...
Kaustav Das, Jeff G. Schneider
183
Voted
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
16 years 6 months ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher
KDD
2012
ACM
186views Data Mining» more  KDD 2012»
13 years 8 months ago
Maximum inner-product search using cone trees
The problem of efficiently finding the best match for a query in a given set with respect to the Euclidean distance or the cosine similarity has been extensively studied. However...
Parikshit Ram, Alexander G. Gray
KDD
2007
ACM
231views Data Mining» more  KDD 2007»
16 years 6 months ago
Xproj: a framework for projected structural clustering of xml documents
XML has become a popular method of data representation both on the web and in databases in recent years. One of the reasons for the popularity of XML has been its ability to encod...
Charu C. Aggarwal, Na Ta, Jianyong Wang, Jianhua F...
DBPL
1999
Springer
98views Database» more  DBPL 1999»
15 years 10 months ago
Ozone: Integrating Structured and Semistructured Data
Applications have an increasing need to manage semistructured data such as data encoded in XML along with conventional structured data. We extend the structured object database ...
Tirthankar Lahiri, Serge Abiteboul, Jennifer Widom