Learning Statistically Significant Contrast Sets
نویسندگان
چکیده
Contrast set learning is important to discover control variables that can distinguish different groups in a dataset. Association rule mining has an inherent connection to the contrast set learning problem and has also been used to address it. All of the association rule based contrast set learning techniques use support-confidence based methods and inherit their limitations. In recent years statistically significant rule mining has become a viable alternative to address those limitations. We propose a novel contrast set learning approach based on statistically significant rule mining that eliminates the limitations in using traditional rule mining approaches and identifies statistically significant contrast sets. We evaluated our method by building a classifier using the discovered contrast sets. The performance of our classifier, while our method is not for classification per se, reveals the effectiveness of our approach in distinguishing the groups.
منابع مشابه
The Effect of Web-Integrated Instruction and Feedback on Self-Regulated Learning Ability of Iranian EFL Learners
Abstract The present study intended, firstly, to investigate the effect of web-integrated instruction on self-regulated learning ability in EFL writing, and secondly, to compare and contrast the effects of paper-based feedback and web-assisted feedback on the self-regulated learning ability. To this end, a quasi-experimental design was applied for both cases. In line with the first objective, ...
متن کاملHybridization of Rough Sets and Statistical Learning Theory
In this paper we propose the hybridization of the rough set concepts and statistical learning theory. We introduce new estimators for rule accuracy and coverage, which base on the assumptions of the statistical learning theory. These estimators allow us to select rules describing statistically significant dependencies in data. Then we construct classifier which uses these estimators for rule in...
متن کاملComparison of dyad training method with cooperative and competitive approach in the learning of Basketball Free Throw
Abstract This study aimed to Comparison of dyad training method with cooperative and competitive approach in the learning of Basketball Free Throw. The study sample included 24 girl’s students aged 13-15 years old who had no experience in free throw. Based on pretest scores, the participants were assigned to either the cooperative dyad training group or the competitive dyad training group. In ...
متن کاملPresenting the Course of Community Dentistry as Problem Based Learning Workshop and Comparing It to Learning through Lecture
Introduction: Nowadays, the attitudinal aspect of community dentistry course and the way in which this course is taught is critically important. The aim of this study is to compare the presentation of theoretical community dentistry course through workshops using PBL method with that of contemporary method of lecture. Methods: In this quasi experimental study, 64 dental students of Tehran Univ...
متن کاملStory-based CALL for Japanese Kanji Characters: A Study on Student Learning Motivation
We investigated the feasibility and effectiveness of implementing a novel, story-based computerassisted language learning (CALL) system for students learning Japanese kanji characters. In contrast to traditional kanji instruction methods, which rely most heavily on rote learning, our story-based CALL system focuses on mnemonic stories (following Heisig, 1986) and allows the user to create and m...
متن کامل