article · 2010
Rule Engine based on improvement Rete algorithm
Di Liu, Tao Gu, Jiang-Ping Xue
Cited by 29Abstract and details only
Abstract
Rete algorithm is the mainstream of the algorithm in the rules engine; it provides efficient local entities data and rules pattern matching method. But Rete algorithm applied in rules engine has defects in performance and demand aspect, this paper applies three methods to improve the Rete algorithm in the rule engine: rule decomposition, Alpha-Node-Hashing and Beta-Node-Indexing. Rules engine is enterprise applications, business logic framework for extracting rules from software application, and make it more flexible. This paper describes the principle of Rule Engine at first, secondly show the Rete algorithm, and finally we do some improvement to Rete algorithm. It makes Rule Engine widely meet the application demand and be greatly improved the efficiency.
Cite this paper
Liu, D., Gu, T., & Xue, J.-P. (2010). Rule Engine based on improvement Rete algorithm. https://doi.org/10.1109/icacia.2010.5709916
Liu, Di, et al. “Rule Engine based on improvement Rete algorithm.” 2010, pp. 346–49, https://doi.org/10.1109/icacia.2010.5709916.
Liu, Di, Tao Gu, and Jiang-Ping Xue. 2010. “Rule Engine based on improvement Rete algorithm.” https://doi.org/10.1109/icacia.2010.5709916.
Liu, D., Gu, T. and Xue, J.-P. (2010) ‘Rule Engine based on improvement Rete algorithm’. Available at: https://doi.org/10.1109/icacia.2010.5709916.
@article{liu2010rule,
title = {{Rule Engine based on improvement Rete algorithm}},
author = {Liu, Di and Gu, Tao and Xue, Jiang-Ping},
pages = {346--349},
year = {2010},
doi = {10.1109/icacia.2010.5709916}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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