Sentence examples for based on association rules from inspiring English sources

Hristovski et al. [ 5, 17- 19] presented a method for literature-based discovery based on association rules and implemented it in a system called BITOLA.

One high accuracy classifier used for this purpose is based on association rules.

This paper uses data mining based on association rules from relational database design and implementation for mining customer knowledge.

This paper compares the performance of a knowledge based input-output recommender with a recommender based on association rules.

In the past, some researches showed that classification based on association rules (or class-association rules – CARs) has higher accuracy than that of other rule-based methods such as ILA and C4.5.

Table 4 Summary of used ACM methods Method Summary CBA Classification based on association rules [11, 45] first discovers all rules by using Apriori approach, and then prunes rules by database coverage technique.

To address this challenge, a novel voxel selection method based on association rule (AR) mining is proposed for designing a computer aided diagnosis (CAD) system.

We propose a stock market portfolio recommender system based on association rule mining (ARM) that analyzes stock data and suggests a ranked basket of stocks.

Based on association rule mining, this article then involves 2 databases, including an occupational accidents database and a workplaces database, to present a dynamic labor inspection system for the construction industry.

In order to enhance computational efficiency, methods of rule selection could be integrated into the algorithm, based on association rule mining and "iceberg concept lattices" (by taking advantage of the duality between the stem base and the conceptual hierarchy (lattice) derived from a transition context as in Table 6) [ 71].

Several studies in the data mining community have shown that classification which is based on associations rule mining or so called associative classification mining (ACM) is able to build accurate classifiers [11 13] and is comparable to traditional methods such as decision trees, rule induction and probabilistic approaches.