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VLDB
2007
ACM
179views Database» more  VLDB 2007»
16 years 7 months ago
Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data
Market analysis is a representative data analysis process with many applications. In such an analysis, critical numerical measures, such as profit and sales, fluctuate over time a...
Xiaolei Li, Jiawei Han
PCI
2001
Springer
15 years 11 months ago
SEISMO-SURFER: A Prototype for Collecting, Querying, and Mining Seismic Data
Earthquake phenomena constitute a rich source of information over the years. Typically, the frequency of earthquakes worldwide is one every second. Collecting and querying seismic ...
Yannis Theodoridis
ICANN
2009
Springer
15 years 4 months ago
Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data
Different algorithms have been proposed in the literature to cluster gene expression data, however there is no single algorithm that can be considered the best one independently on...
André C. A. Nascimento, Ricardo Bastos Cava...
ITEE
2007
15 years 8 months ago
Data Quality Mining: Employing Classifiers for Assuring Consistent Datasets
Abstract: Independent from the concrete definition of the term “data quality” consistency always plays a major role. There are two main points when dealing with the data qualit...
Fabian Grüning