Multi-threaded Naïve Bayes algorithm for...

Details Multi-threaded Naïve Bayes algorithm for... Multi-threaded Naïve Bayes algorithm for...

2006-10-17

2006-10-17

Hirl, Joseph P. (Department: 2129)

Data processing: artificial intelligence

Machine learning

C706S014000, C706S046000

Reexamination Certificate

active

07124121

ABSTRACT:
The present invention provides an efficient method and system for performing data mining on large amounts of data using a multi-threaded Bayesian algorithm. The method for data mining includes receiving data from a database, performing multi-threaded classification on the data using a Naïve Bayes model and performing multi-threaded regression on the data based on a Naïve Bayes model. One of the multi threaded classification and regression steps may include processing the data according to a batch learning system, processing the data according to an incremental learning system, processing the data according to an online learning system, and processing the data according to a distributed learning system. One of the the multi-threaded classification and regression steps may include developing a set of rules from a set of training data. One of the multi-threaded classification and regression steps may comprise arranging the data into a plurality of groups.

REFERENCES:
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patent: 6067604 (2000-05-01), Ramachandran et al.
patent: 6901398 (2005-05-01), Horvitz et al.
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patent: 2002/0038301 (2002-03-01), Aridor et al.
patent: 2003/0088458 (2003-05-01), Afeyan et al.

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