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DAWAK
2007
Springer
13 years 11 months ago
Mining Top-K Multidimensional Gradients
Several business applications such as marketing basket analysis, clickstream analysis, fraud detection and churning migration analysis demand gradient data analysis. By employing g...
Ronnie Alves, Orlando Belo, Joel Ribeiro
ICDE
2010
IEEE
428views Database» more  ICDE 2010»
14 years 5 months ago
Supporting Top-K Keyword Search in XML Databases
Keyword search is considered to be an effective information discovery method for both structured and semistructured data. In XML keyword search, query semantics is based on the con...
Liang Jeff Chen, Yannis Papakonstantinou
JCIT
2010
174views more  JCIT 2010»
13 years 3 days ago
Efficient Ming of Top-K Closed Sequences
Sequence mining is an important data mining task. In order to retrieve interesting sequences from a large database, a minimum support threshold is needed to be specified. Unfortun...
Panida Songram
CIKM
2011
Springer
12 years 5 months ago
S3K: seeking statement-supporting top-K witnesses
Traditional information retrieval techniques based on keyword search help to identify a ranked set of relevant documents, which often contains many documents in the top ranks that...
Steffen Metzger, Shady Elbassuoni, Katja Hose, Ral...
EDBT
2008
ACM
169views Database» more  EDBT 2008»
14 years 5 months ago
Efficient online top-K retrieval with arbitrary similarity measures
The top-k retrieval problem requires finding k objects most similar to a given query object. Similarities between objects are most often computed as aggregated similarities of the...
Prasad M. Deshpande, Deepak P, Krishna Kummamuru