Non-linear regression model considering all association thresholds for decision of association rule numbers

Co-changing code volume prediction through association rule mining and linear regression model

Code smells are symptoms in the source code that indicate possible deeper problems andmay serve as drivers for code refactoring. Although effort has been made on identifying divergent changes and shotgun surgeries, little emphasis has been put on predicting the volume of co-changing code that appears in the code smells. More specifically, when a software developer intends to perform a particula...

Association rule-based Markov Decision Processes

In this paper we present a novel approach for the fast solution of Markov decision processes based on the concept of association rules. These processes have successfully solved many probabilistic problems such as: process control, decision analysis and economy. But for problems with continuous or high dimensionality domains, high computational complexity arises, because the search space grows e...

Association Rule Mining with Levelwise Automatic Support Thresholds

Association Rule Mining Considering Local Frequent Patterns with Temporal Intervals

In traditional association rule mining algorithms, if the minimum support is set too high, many valuable rules will be lost. However, if the value is set too low, then numerous trivial rules will be generated. To overcome the difficulty of setting minimum support values, global and local patterns are mined herein. Owing to the temporal factor in association rule mining, an itemset may not occur...

Robust linear regression methods in association studies

MOTIVATION It is well known that data deficiencies, such as coding/rounding errors, outliers or missing values, may lead to misleading results for many statistical methods. Robust statistical methods are designed to accommodate certain types of those deficiencies, allowing for reliable results under various conditions. We analyze the case of statistical tests to detect associations between geno...