• The KIPS Transactions:PartD
• /
• v.11D no.3
• /
• pp.545-552
• /
• 2004

Association rules mining, which is one of data mining technologies, searches data among which are frequent and related to each other in database. But, although the data are not of frequent and rare in database, they have the enough worth of business information if the data ares important and strongly related to each other, In this paper, we propose the algorithm discovering association rules that consist of data, which are rare but, important and strongly related to each other in database. The proposed algorithm was evaluated through simulation. We found that the proposed algorithm discovered efficiently association rules among data, which are not frequent but, important.

• Journal of the Korean Data and Information Science Society
• /
• v.22 no.1
• /
• pp.81-88
• /
• 2011

Association rule mining searches for interesting relationships among items in a given database. There are three primary quality measures for association rule, support and confidence and lift. In order to improve the efficiency of existing mining algorithms, constraints were applied during the mining process to generate only those association rules that are interesting to users instead of all the association rules. When we create relation rule, we can often find a lot of rules. This can find rule that direct relativity by intervening variable does not exist. In this study we try to discovery an insignificant rule in association rules by intervening variable. Result of this study can understand relativity about rule that is created in relation rule more exactly.

• Journal of the Korean Data and Information Science Society
• /
• v.23 no.1
• /
• pp.121-129
• /
• 2012

Association rule mining searches for interesting relationships among items in a given database. Currently, study of the constraint-based association rules are underway by many researchers. When we create relation rule, we can often find a lot of rules. Of this rules, we can find rule that direct relativity by marginally conditional variables (intervening variable, external variable) does not exist. In such a case, this association rule can be considered insignificant. In this study, we want to study for association rules creation using marginally conditional variable. The result of this study can find meaningless association rules. Also, we can understand more exactly the relationships between variables.

• 한국데이터정보과학회:학술대회논문집
• /
• 2003.10a
• /
• pp.197-213
• /
• 2003

One of the well-studied problems in data mining is the search for association rules. The goal of association rule mining is to find all the rules with support and confidence exceeding some user specified thresholds. In this paper we consider the relation between the measure of association and the criteria of association rule for ordinal data.

• Journal of the Korean housing association
• /
• v.1 no.2
• /
• pp.81-89
• /
• 1990

The purpose of this research was to investigate rules and customs on the dwelling houses in Cho-sun dynasty, in the paper, the size, adornment and direction of the dwelling houses was studied.

• Proceedings of the Korea Contents Association Conference
• /
• 2005.05a
• /
• pp.448-451
• /
• 2005

In this paper, we describe a method of answer extraction on a concept-based question-answering system. The concept-based question answering system is a system which extract answer using concept information. we have researched the method of answer extraction using concepts which analyzed and extracted through question analysing with answer extracting rules. We analyzed documents including answers and then composed answer extracting rules. Rules consist of concept and syntactic information, we generated candidates of answer through the rules and then chose answer.

• Journal of Families and Better Life
• /
• v.31 no.2
• /
• pp.93-108
• /
• 2013

This study aimed to analyze the functionality and healthiness of family rules through a relational analysis of the relationship between the rule frequency by sub-family system and the content properties shown in the 'family constitution', It also aimed to examine the relationship between the perception degree of healthy family elements and the family subsystem rules and prepare the project development plans. As a result, it was a found that there were many dysfunctional rules, and healthiness was not satisfied. Project development plans include specific project plans, delivery systems, an orientation for practitioners, the necessity of evaluation and feedback, family health diagnosis, association with other project areas, and small scale operations.

• Journal of Auto-vehicle Safety Association
• /
• v.14 no.3
• /
• pp.77-82
• /
• 2022

The Korea's automobile safety standards consist of standards for automobiles, automated vehicles, two-wheeled vehicles and auto parts, and there are 157 articles. In connection with the safety standards, the implementation rules stipulated for detailed test methods and procedures are composed of the main body, asterisks and annexes, and have a rather complicated structure. In addition, the test items in the asterisk are specified with the same or similar name as the test items in other asterisks. In this study, the structure of these implementation rules is simplified and the same test items are integrated. This is expected to increase the user's understanding of laws and regulations and efficiency.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.22 no.50
• /
• pp.183-193
• /
• 1999

The problem of discovering association rules has received considerable research attention and several fast algorithms for mining association rules have been developed. In this paper, we propose an efficient algorithm for mining quantitative association rules with item constraints. For categorical attributes, we map the values of the attribute to a set of consecutive integers. For quantitative attributes, we can partition the attribute into values or ranges. While such constraints can be applied as a post-processing step, integrating them into the mining algorithm can reduce the execution time. We consider the problem of integrating constraints that are boolean expressions over the presence or absence of items containing quantitative attributes into the association discovery algorithm using Apriori concept.

• Journal of the Korea Safety Management & Science
• /
• v.9 no.4
• /
• pp.29-38
• /
• 2007

We adapted association rules of data mining in order to investigate the relation among the factors of musculoskeletal disorders and proposed the method of preventing the musculoskeletal disorders associated with multiple logistic regression in previous study. This multiple logistic regression was difficult to establish the method of preventing musculoskeletal disorders in case factors can't be managed by worker himself, i.e., age, gender, marital status. In order to solve this problem, we devised association rules of factors of musculoskeletal disorders and proposed the interactive method of preventing the musculoskeletal disorders, by applying association rules with the result of multiple logistic regression in previous study. The result of correlation analysis showed that prevention method of one part also prevents musculoskeletal disorders of other parts of body.