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TKDE
2012
253views Formal Methods» more  TKDE 2012»
11 years 6 months ago
Horizontal Aggregations in SQL to Prepare Data Sets for Data Mining Analysis
—Preparing a data set for analysis is generally the most time consuming task in a data mining project, requiring many complex SQL queries, joining tables and aggregating columns....
Carlos Ordonez, Zhibo Chen 0002
SIGMOD
2000
ACM
212views Database» more  SIGMOD 2000»
13 years 8 months ago
SQLEM: Fast Clustering in SQL using the EM Algorithm
Clustering is one of the most important tasks performed in Data Mining applications. This paper presents an e cient SQL implementation of the EM algorithm to perform clustering in...
Carlos Ordonez, Paul Cereghini
DAWAK
2003
Springer
13 years 9 months ago
Computing SQL Queries with Boolean Aggregates
We introduce a new method for optimization of SQL queries with nested subqueries. The method is based on the idea of Boolean aggregates, aggregates that compute the conjunction or ...
Antonio Badia
KDD
2004
ACM
624views Data Mining» more  KDD 2004»
13 years 9 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
CORR
2007
Springer
132views Education» more  CORR 2007»
13 years 4 months ago
Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals
Data analysis applications typically aggregate data across many dimensions looking for anomalies or unusual patterns. The SQL aggregate functions and the GROUP BY operator produce ...
Jim Gray, Surajit Chaudhuri, Adam Bosworth, Andrew...