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» Approximate data mining in very large relational data
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ACSW
2004
15 years 3 months ago
Mining Association Rules from XML Data using XQuery
In recent years XML has became very popular for representing semistructured data and a standard for data exchange over the web. Mining XML data from the web is becoming increasing...
Jacky W. W. Wan, Gillian Dobbie
ICDE
2006
IEEE
144views Database» more  ICDE 2006»
16 years 2 months ago
Approximately Processing Multi-granularity Aggregate Queries over Data Streams
Aggregate monitoring over data streams is attracting more and more attention in research community due to its broad potential applications. Existing methods suffer two problems, 1...
Shouke Qin, Weining Qian, Aoying Zhou
168
Voted
VLDB
1997
ACM
175views Database» more  VLDB 1997»
15 years 5 months ago
STING: A Statistical Information Grid Approach to Spatial Data Mining
Spatial data mining, i.e., discovery of interesting characteristics and patterns that may implicitly exist in spatial databases, is a challenging task due to the huge amounts of s...
Wei Wang 0010, Jiong Yang, Richard R. Muntz
PKDD
2005
Springer
105views Data Mining» more  PKDD 2005»
15 years 7 months ago
Protein Sequence Pattern Mining with Constraints
Considering the characteristics of biological sequence databases, which typically have a small alphabet, a very long length and a relative small size (several hundreds of sequences...
Pedro Gabriel Ferreira, Paulo J. Azevedo
150
Voted
KDD
2004
ACM
624views Data Mining» more  KDD 2004»
15 years 7 months ago
Programming the K-means clustering algorithm in SQL
Using SQL has not been considered an efficient and feasible way to implement data mining algorithms. Although this is true for many data mining, machine learning and statistical a...
Carlos Ordonez