Bayesian classifiers programmed in SQL

IEEE Transactions on Knowledge and Data Engineering

Volumn 22, Issue 1, 2010, Pages 139-144

  Ordonez, Carlos ^a   Pitchaimalai, Sasi K ^a  

^a University of Houston   (United States)

Author keywords

Classification; K means; Query optimization.

Indexed keywords

BAYESIAN CLASSIFIER; CLASS DECOMPOSITION; CLASSIFICATION ACCURACY; CLASSIFICATION TECHNIQUE; DATA SETS; DENORMALIZATION; DISTANCE COMPUTATION; K-MEANS; K-MEANS CLUSTERING; LARGE DATASETS; MODEL COMPUTATION; NAIVE BAYES; QUERY OPTIMIZATION; SQL QUERY; SYNTHETIC DATASETS; TRANSFORM EQUATIONS;

BAYESIAN NETWORKS; CLASSIFIERS; DECISION TREES; SCALABILITY;

LEARNING SYSTEMS;

EID: 72949100106     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2009.127     Document Type: Article

References (8)

1. P. Bradley, U. Fayyad, and C. Reina, "Scaling Clustering Algorithms to Large Databases," Proc. ACM Knowledge Discovery and Data Mining (KDD) Conf., pp. 9-15, 1998.
2. T. Hastie, R. Tibshirani, and J.H. Friedman, The Elements of Statistical Learning, first ed. Springer, 2001.
3. B.L. Milenova and M.M. Campos, "O-Cluster: Scalable Clustering of Large High Dimensional Data Sets," Proc. IEEE Int'l Conf. Data Mining (ICDM), pp. 290-297, 2002.
4. C. Ordonez, "Integrating K-Means Clustering with a Relational DBMS Using SQL," IEEE Trans. Knowledge and Data Eng., vol.18, no.2, pp. 188-201, Feb. 2006.
5. C. Ordonez, "Building Statistical Models and Scoring with UDFs," Proc. ACM SIGMOD, pp. 1005-1016, 2007.
6. S. Thomas and M.M. Campos, SQL-Based Naive Bayes Model Building and Scoring, US Patent 7,051,037, US Patent and Trade Office, 2006.
7. R. Vilalta and I. Rish, "A Decomposition of Classes via Clustering to Explain and Improve Naive Bayes," Proc. European Conf. Machine Learning (ECML), pp. 444-455, 2003.
8. H. Wang, C. Zaniolo, and C.R. Luo, "ATLaS: A Small but Complete SQL Extension for Data Mining and Data Streams," Proc. Very Large Data Bases (VLDB) Conf., pp. 1113-1116, 2003.