• Title, Summary, Keyword: Association rules

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A study on association rule creation by marginally conditional variables (주변 조건부 변수에 의한 연관성 규칙 생성에 관한 연구)

  • Cho, Kwang-Hyun;Park, Hee-Chang
    • Journal of the Korean Data and Information Science Society
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    • v.23 no.1
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    • pp.121-129
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    • 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.

A study on insignificant rules discovery in association rule mining (연관성규칙에서 의미 없는 규칙의 발견에 관한 연구)

  • Cho, Kwang-Hyun;Park, Hee-Chang
    • Journal of the Korean Data and Information Science Society
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    • v.22 no.1
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    • pp.81-88
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    • 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.

The Proposition of Conditionally Pure Confidence in Association Rule Mining

  • Park, Hee-Chang
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.4
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    • pp.1141-1151
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    • 2008
  • Data mining is the process of sorting through large amounts of data and picking out useful information. One of the well-studied problems in data mining is the exploration of association rules. An association rule technique finds the relation among each items in massive volume database. Some interestingness measures have been developed in association rule mining. Interestingness measures are useful in that it shows the causes for pruning uninteresting rules statistically or logically. This paper propose a conditional pure confidence to evaluate association rules and then describe some properties for a proposed measure. The comparative studies with confidence and pure confidence are shown by numerical example. The results show that the conditional pure confidence is better than confidence or pure confidence.

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Association Rule Mining Algorithm and Analysis of Missing Values

  • Lee, Jae-Wan;Bobby D. Gerardo;Kim, Gui-Tae;Jeong, Jin-Seob
    • Journal of information and communication convergence engineering
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    • v.1 no.3
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    • pp.150-156
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    • 2003
  • This paper explored the use of an algorithm for the data mining and method in handling missing data which had generated enhanced association patterns observed using the data illustrated here. The evaluations showed that more association patterns are generated in the second analysis which suggests more meaningful rules than in the first situation. It showed that the model offer more precise and important association rules that is more valuable when applied for business decision making. With the discovery of accurate association rules or business patterns, strategies could be efficiently planned out and implemented to improve marketing schemes. This investigation gives rise to a number of interesting issues that could be explored further like the effect of outliers and missing data for detecting fraud and devious database entries.

Algorithm mining Association Rules by considering Weight Support (중요지지도를 고려한 연관규칙 탐사 알고리즘)

  • Kim, Keun-Hyung;Whang, Byung-Woong;Kim, Min-Chul
    • The KIPS Transactions:PartD
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    • v.11D no.3
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    • pp.545-552
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    • 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.

Relation for the Measure of Association and the Criteria of Association Rule in Ordinal Database

  • Park, Hee-Chang;Lee, Ho-Soon
    • 한국데이터정보과학회:학술대회논문집
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    • pp.197-213
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    • 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.

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Mother's Expectations Regarding Her Child's Self-Regulatory Behaviors (영유아기 자녀의 자기 규제 행동에 대한 어머니의 요구양상)

  • Kim, Jungwon
    • Korean Journal of Child Studies
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    • v.23 no.4
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    • pp.35-51
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    • 2002
  • This study investigated the expectations Of 186 Korean mothers regarding the self-regulatory behaviors of their l-to 5-year old child. A questionnaire for mothers was prepared which consists of nine categories identified in previous research : safety rules, personal property rules, interpersonal rules, food-related rules, independence requests, self-care rules, family routines, delay, manners, obedience rules, and academic skills and attitude. Data consisted of questionnaires completed by the mothers. Findings were that (1) mothers had high expectations regarding self-regulatory behaviors about safety and independence but low expectations regarding family routines and personal property self-regulation, (2) their expectations increased with age of child, (3) the pattern of expectations did not change with age, and (4) expectations were higher with lower educational background of the mother.

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Mothers' Conceptions of Everyday Rules for Young Children (유아의 일상생활 규칙에 대한 어머니의 개념 연구)

  • Pu, Sung Sook;Cho, In Kyung
    • Korean Journal of Child Studies
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    • v.29 no.5
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    • pp.113-131
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    • 2008
  • This study examined mothers' ratings of everyday rules for their young children. Participants were 294 mothers of 2- to 5-year-old children attending kindergartens and nursery schools in Korea. Data were collected by questionnaire and were analyzed by $x^2$. Results indicated that the majority of mothers' rules for their children pertained to safety, interpersonal issues, and as children got older, social conventions. Mothers endorsed prudential justifications for safety and self-care, moral justifications for interpersonal rules, practical and moral justifications for safeguarding property, and conventional justifications for obedience/order and food/mealtime routines. Analyses of mothers' judgments of rule independence indicated that rules on interpersonal and safety issues were to be kept without exception.

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Arbitrating IP Disputes: the 2014 WIPO Arbitration Rules

  • Boog, Christopher;Menz, James
    • Journal of Arbitration Studies
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    • v.24 no.3
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    • pp.105-124
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    • 2014
  • There is a growing interest in resolving intellectual property rights disputes through arbitration rather than in state courts. The internationalization of commercial relations, one of the most significant drivers of the growth of international arbitration in general, encompasses intellectual property relationships as well. In 2014, the World Intellectual Property Organization Arbitration and Mediation Center revised its arbitration rules. The revision is part of a wave of recent updates of institutional arbitral rules. After briefly introducing the WIPO Center as an arbitral institution, this article assesses the features of the WIPO Rules that make them suitable for the particular challenges of IP-related disputes. A second part reviews the salient new aspects of the WIPO Rules from a comparative perspective.

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A Study on Classification of Married Women based on their Experiences of Family of origin and Family Strength - Focused on Family Differentiation and the Family Rules - (기혼여성의 원가족 경험의 유형화와 가족건강성과의 관계 - 가족분화와 가족규칙을 중심으로 -)

  • Lee, Ji-Min
    • Korean Journal of Human Ecology
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    • v.21 no.2
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    • pp.181-195
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    • 2012
  • The purpose of this study was to explore clusters of married woman based on family differentiation and family rules originating from their family of origin, and to examine family strength according to clusters. The research instrument comprised of a questionnaire completed by 269 married women that investigated family differentiation and family rules based on family origins, and the comparative strength of their nuclear family. Analysis of subgroups was based on four representative categories differentiating family rule patterns. Cluster analysis demonstrated that the higher family differentiation level and lower-mid family rules level were related to greater family strength. As a subgroup, lowest levels of family strength were associated with lower family differentiation and lower family rules in all clusters. Findings supported the efficacy of a typological approach for investigation of experiences of married women based on family origin.