Exploring Social Issues: Using SPSS for Windows

Healey, Joseph F.; Boli, John; Babbie, Earl; Halley, Fred

doi:10.4135/9781483349350

Cited by 1 publication

(2 citation statements)

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“…The strength value of association rules has been occasionally debated in statistics. In one case, Babbie et al [4, p. 258] discuss the dispute between the authors in [5] and [6]. The dispute centers on the scales used during data analysis.…”

Section: Loss Of Association Rules Involving Frequentlymentioning

confidence: 99%

“…The difference in the scales used by the authors would lead to different levels of effective thresholds being set should the situation be applied to data mining. If the scale in [5] is adopted for mining, then the minimum support threshold set based on [6] would be lower. This case shows that one user's understanding of an ideal strength value may be different from another's.…”

Section: Loss Of Association Rules Involving Frequentlymentioning

confidence: 99%

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Logic-Based Pattern Discovery

Sim

Indrawan

Zutshi

et al. 2010

IEEE Trans. Knowl. Data Eng.

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In the data mining field, association rules are discovered having domain knowledge specified as a minimum support threshold. The accuracy in setting up this threshold directly influences the number and the quality of association rules discovered. Often, the number of association rules, even though large in number, misses some interesting rules and the rules' quality necessitates further analysis. As a result, decision making using these rules could lead to risky actions. We propose a framework to discover domain knowledge report as coherent rules. Coherent rules are discovered based on the properties of propositional logic, and therefore, requires no background knowledge to generate them. From the coherent rules discovered, association rules can be derived objectively and directly without knowing the level of minimum support threshold required. We provide analysis of the rules compare to those discovered via the a priori.

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Section: Loss Of Association Rules Involving Frequentlymentioning

confidence: 99%

Section: Loss Of Association Rules Involving Frequentlymentioning

confidence: 99%