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» Computing SQL Queries with Boolean Aggregates
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KDD
2004
ACM
624views Data Mining» more  KDD 2004»
14 years 23 days 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
EDBT
2009
ACM
135views Database» more  EDBT 2009»
14 years 22 hour ago
Provenance for nested subqueries
Data provenance is essential in applications such as scientific computing, curated databases, and data warehouses. Several systems have been developed that provide provenance fun...
Boris Glavic, Gustavo Alonso
ICDE
2009
IEEE
155views Database» more  ICDE 2009»
14 years 2 months ago
SPROUT: Lazy vs. Eager Query Plans for Tuple-Independent Probabilistic Databases
— A paramount challenge in probabilistic databases is the scalable computation of confidences of tuples in query results. This paper introduces an efficient secondary-storage o...
Dan Olteanu, Jiewen Huang, Christoph Koch
ICDE
2003
IEEE
148views Database» more  ICDE 2003»
14 years 8 months ago
Efficient Computation of Subqueries in Complex OLAP
Expressing complex OLAP queries using group-by, aggregation, and joins can be extremely difficult. As a result of this, many alternate ways of expressing such queries have been de...
Michael H. Böhlen, Michael O. Akinde
SIGMOD
1997
ACM
107views Database» more  SIGMOD 1997»
13 years 11 months ago
Range Queries in OLAP Data Cubes
A range query applies an aggregation operation over all selected cells of an OLAP data cube where the selection is speci ed by providing ranges of values for numeric dimensions. W...
Ching-Tien Ho, Rakesh Agrawal, Nimrod Megiddo, Ram...