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» Genetic algorithms for large join query optimization
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SSDBM
2005
IEEE
122views Database» more  SSDBM 2005»
14 years 1 months ago
Detection and Tracking of Discrete Phenomena in Sensor-Network Databases
This paper introduces a framework for Phenomena Detection and Tracking (PDT, for short) in sensor network databases. Examples of detectable phenomena include the propagation over ...
Mohamed H. Ali, Mohamed F. Mokbel, Walid G. Aref, ...
SIGMOD
1993
ACM
150views Database» more  SIGMOD 1993»
13 years 11 months ago
Predicate Migration: Optimizing Queries with Expensive Predicates
The traditional focus of relational query optimization schemes has been on the choice of join methods and join orders. Restrictions have typically been handled in query optimizers ...
Joseph M. Hellerstein, Michael Stonebraker
DEBU
2000
147views more  DEBU 2000»
13 years 7 months ago
XJoin: A Reactively-Scheduled Pipelined Join Operator
Wide-area distribution raises significant performance problems for traditional query processing techniques as data access becomes less predictable due to link congestion, load imb...
Tolga Urhan, Michael J. Franklin
ICDE
2005
IEEE
122views Database» more  ICDE 2005»
14 years 1 months ago
Signature-based Filtering Techniques for Structural Joins of XML Data
Queries on XML documents typically combine selections on element contents, and, via path expressions, the structural relationships between tagged elements. Efficient support for ...
Huan Huo, Guoren Wang, Chuan Yang, Rui Zhou
KDD
2004
ACM
624views Data Mining» more  KDD 2004»
14 years 1 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