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KDD
2004
ACM
624views Data Mining» more  KDD 2004»
16 years 3 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
ECRTS
2002
IEEE
15 years 11 months ago
A QoS-Sensitive Approach for Timeliness and Freshness Guarantees in Real-Time Databases
The demand for real-time database services has been increasing recently. Examples include sensor data fusion, decision support, web information services, and online trading. In th...
Kyoung-Don Kang, Sang Hyuk Son, John A. Stankovic,...
SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
16 years 3 months ago
Parallel Pairwise Clustering.
Given the pairwise affinity relations associated with a set of data items, the goal of a clustering algorithm is to automatically partition the data into a small number of homogen...
Elad Yom-Tov, Noam Slonim
290
Voted
ICDE
2008
IEEE
118views Database» more  ICDE 2008»
16 years 8 months ago
XML processing in DHT networks
We study the scalable management of XML data in P2P networks based on distributed hash tables (DHTs). We identify performance limitations in this context, and propose an array of t...
Serge Abiteboul, Ioana Manolescu, Neoklis Polyzoti...
GIS
2005
ACM
16 years 7 months ago
Extracting spatial association rules from spatial transactions
Georeferenced information is growing every day, and geographical information systems are becoming crucial in many decision processes. As a consequence, extracting knowledge from G...
Salvatore Rinzivillo, Franco Turini