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» Mining Multiple Large Databases
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SISAP
2008
IEEE
147views Data Mining» more  SISAP 2008»
14 years 3 months ago
An Empirical Evaluation of a Distributed Clustering-Based Index for Metric Space Databases
Similarity search has been proved suitable for searching in very large collections of unstructured data objects. We are interested in efficient parallel query processing under si...
Veronica Gil Costa, Mauricio Marín, Nora Re...
KDD
2000
ACM
121views Data Mining» more  KDD 2000»
14 years 16 days ago
Mining high-speed data streams
Many organizations today have more than very large databases; they have databases that grow without limit at a rate of several million records per day. Mining these continuous dat...
Pedro Domingos, Geoff Hulten
ICMCS
2006
IEEE
115views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Scalable Image Retrieval from Distributed Images Database
In order to store, and retrieve images from large databases, we propose a framework, based on multiple description coding paradigm, that disseminates images over distributed serve...
Tammam Tillo, Marco Grangetto, Gabriella Olmo
IEAAIE
2009
Springer
14 years 3 months ago
An Efficient Algorithm for Maintaining Frequent Closed Itemsets over Data Stream
Data mining refers to the process of revealing unknown and potentially useful information from a large database. Frequent itemsets mining is one of the foundational problems in dat...
Show-Jane Yen, Yue-Shi Lee, Cheng-Wei Wu, Chin-Lin...
RIDE
1997
IEEE
14 years 1 months ago
Evaluation of Sampling for Data Mining of Association Rules
Discovery of association rules is a prototypical problem in data mining. The current algorithms proposed for data mining of association rules make repeated passes over the databas...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, We...