• Title, Summary, Keyword: 선택속성

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데이터마이닝을 위한 혼합 데이터베이스에서의 속성선택

  • Cha, Un-Ok;Heo, Mun-Yeol
    • Proceedings of the Korean Statistical Society Conference
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    • pp.103-108
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    • 2003
  • 데이터마이닝을 위한 대용량 데이터베이스를 축소시키는 방법 중에 속성선택 방법이 많이 사용되고 있다. 본 논문에서는 세 가지 속성선택 방법을 사용하여 조건속성 수를 60%이상 축소시켜 결정나무와 로지스틱 회귀모형에 적용시켜보고 이들의 효율을 비교해 본다. 세 가지 속성선택 방법은 MDI, 정보획득, ReliefF 방법이다. 결정나무 방법은 QUEST, CART, C4.5를 사용하였다. 속성선택 방법들의 분류 정확성은 UCI 데이터베이스에 주어진 Credit 승인 데이터베이스와 German Credit 데이터베이스를 사용하여 10층-교차확인 방법으로 평가하였다.

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The Framework of Decision Making for Choice of Camping Site Selection Attributes according to Camping Motivation (캠핑동기에 따른 캠핑장 선택속성 의사결정의 프레임워크 구축에 관한 연구)

  • Choo, Seung-Woo
    • Journal of Digital Convergence
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    • v.13 no.10
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    • pp.225-234
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    • 2015
  • This study focused on building the convergence framework of decision-making for camping site selection attributes. The first stage of study is to identify the camping motivations. The camping motivations are composed of 5 factors. The second stage is to identify the camping site selection attributes. They are composed of 4 factors. The relationships between camping site selection attributes and camping motivations are examined through the multi-regression analysis. The camping site selection attributes were significantly influenced by thr type of camping motivation. Lastly, the relationship between camping site selection attributes and camper's satisfaction and behavioral intention are testified. The implications are that camping site operators and developers need to understand the segmented camping motivations and site selection attributes. They could be the guideline of implementing the developing planning strategies of camping site.

Analysis of Airline Choice Factors with AHP(Analytic Hierarchy Process) (Focus on Domestic Airline) (AHP(Analytic Hierarchy Process)를 이용한 항공여객의 항공사 선택속성 분석(국내선을 중심으로))

  • Ha, Heon-Gu;O, Se-Hun
    • Journal of Korean Society of Transportation
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    • v.24 no.3
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    • pp.133-142
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    • 2006
  • The objective of this study is to analyze domestic air passengers' preferences for selecting domestic airline company. By the analytic hierarchy process(AHP) method, we tried to measure the weight of the qualitative factors objectively and scientifically. The overall results indicate that domestic air passengers place more weight on airport service factor than other service factors for selecting domestic airline. Also, reservation/ticketing and in-flight service factors are equivalent to airport service factor. These priorities are differently shown followed by passengers' income. Therefore, airline companies need to formulate the differentiated strategy and customer-oriented marketing plan based on identified customer needs.

Effective Feature Selection Algorithm by Extreme Learning Machine (ELM을 이용한 개선된 속성선택 기법)

  • Jo, Jae-Hun;Lee, Dae-Jong;Jun, Myeong-Geun
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • pp.189-192
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    • 2006
  • 본 논문에서는 ELM(Extreme Learning Machine)을 이용하여 계산속도 뿐만 아니라 성능면에서도 우수한 입력 속성선택 기법을 제안한다. 일반적으로 입력 속성 선택문제는 다양한 속성들의 영향을 고려함으로써 모든 입력속성들을 평가하는데 많은 계산량이 요구되는 단점이 있다. 이러한 문제점을 개선하기 위하여 학습속도가 기존의 신경회로망에 비하여 월등히 우수한 ELM 알고리즘을 적용한다. 입력속성 선택은 ELM으로부터 산출된 출력값을 이용하여 출력 오차에 영향이 큰 속성들 순으로 순위를 결정한 후, 전방향 선택이나 후방향 선택기법을 이용하여 입력속성을 선택한다. 제안된 방법은 다양한 데이터에 적용하여 타당성을 검증한다.

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A Study on Travel Satisfaction for Segmented Groups of Cultural Destination Attributes (문화관광지 선택속성에 대한 세분시장별 여행만족도에 관한 연구: Fisher's Z값을 활용한 조절효과를 중심으로)

  • Jang, Yang-Lae;Yoon, Yoo-Shik;Park, No-Hyeun
    • Journal of the Korean Geographical Society
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    • v.43 no.6
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    • pp.938-950
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    • 2008
  • This study was to investigate if there were any significant relationships between cultural destination selection attributes and travel satisfaction according to segmented groups of cultural destination attributes. Survey questionnaire was developed based on the previous study and data were collected from on site survey, which was one of the famous cultural tourism destination in Korea such as Booyoe and Kongjoo. Six dimensions of cultural destination attributes were identified from factor analysis and three different segmented groups were determined from cluster analysis. Then, Multiple regression analysis conducted with six destination attributes as independent variables and one travel satisfaction as dependent variable, while Fisher's Z score for three segmented groups were considered as moderator's variable. The results showed that cultural destination attribute affected respondents' level of travel satisfaction and there was differences among segmented groups in terms of their affecting factors to the travel satisfaction. These findings suggested that there were different segmented groups of cultural destination selection attributes and each group pursued different cultural travel products and services.

주거선택과 정부정책이 주택구매의도에 미치는 영향에 관한 연구

  • Kim, Su-Gyeong;Ha, Gyu-Su
    • 한국벤처창업학회:학술대회논문집
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    • pp.187-189
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    • 2019
  • 주택 가격이 최근 급등하면서 각종 정부정책이 쏟아져 나오고 있지만 주택 가격은 지역 별 편차를 늘리는 등 다른 문제점들을 양상하고 급등한 가격을 조정하는데 어려움을 겪고 있다. 주택을 선택하는 속성에는 다양한 기준이 존재하고 있어 단순한 정부 정책만으로는 해결하기 어려운 측면이 있다. 따라서 다양한 주택선택 속성에 대해 파악하고 주택구매 의도에 미치는 영향에 대해 파악하는 것이 중요하다. 본 연구는 주택선택 속성과 정부정책이 주택 구매행동에 미치는 영향력을 통해서 주택시장에 대한 이해를 돕고자 한다. 이를 위한 분석의 주요 쟁점은 다양한 유형의 주택선택 속성과 정부 정책 간에 부동산 투자전망의 조절효과를 고려하는 것이다.

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Determinants of selection of full-service airlines and low-cost airlines in Korea (항공사 선택속성의 차이에 관한 연구: FSC와 LCC를 중심으로)

  • Ha, sung-duk;Choi, jin-ho;Choi, yu-jene
    • Proceedings of the Korea Contents Association Conference
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    • pp.279-280
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    • 2011
  • 전 세계적으로 저비용항공사의 항공운송시장 참여로 승객들의 항공사 선택이 다양화 되었으며, 우리나라도 2011년 현재 5개의 저비용항공사가 시장에 참여하여 기존 국적항공사와 경쟁을 하고 있다. 본 연구는 우리나라 항공사 승객이 항공사 선택 시 중요하게 생각하는 속성을 파악하고, 저비용항공사 승객과 기존 국적항공사 승객이 항공사 선택 시 중요시 하는 속성의 중요도와 만족도 차이를 분석하는데 목적이 있다. 저비용항공사와 기존 국적항공사 승객을 대상으로 설문을 실시하여 항공사 선택 속성을 파악하고, 차이분석, 중요도-만족도 분석, t-test를 활용하여 항공사 선택 속성의 차이를 분석하고 국적항공사와 저비용항공사의 항공사 선택속성 중요도와 만족도 차이를 분석하고자 한다.

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The Final Alternative Choice According to the Change of Product Attribute Information (제품 속성정보 강화에 따른 소비자 대안선택 변화에 관한 연구)

  • Kim, Sang-cheol
    • The Journal of Distribution Science
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    • v.4 no.1
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    • pp.103-120
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    • 2006
  • This study is composed of analyses about whether intensifying the attribute level of alternatives presented to consumers makes the effect of intensifying attributes and there is any significant difference among effects of the intensified attributes. For this, the most favorite alternative is extracted from each group of computers and jeans through conjoint analysis, which is used as a standard alternative during the process of experimentation. In conclusion, this research suggests that in terms of business, by intensifying the latter attribute of products rather than the early attribute, an enterprise acquire distinct and competitive superiority over similar competing products (esp. functional products), and theoretically, by expanding and analyzing decision models it can predict consumers' behaviors more correctly.

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Feature Selection Method by Information Theory and Particle S warm Optimization (상호정보량과 Binary Particle Swarm Optimization을 이용한 속성선택 기법)

  • Cho, Jae-Hoon;Lee, Dae-Jong;Song, Chang-Kyu;Chun, Myung-Geun
    • Journal of Korean Institute of Intelligent Systems
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    • v.19 no.2
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    • pp.191-196
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    • 2009
  • In this paper, we proposed a feature selection method using Binary Particle Swarm Optimization(BPSO) and Mutual information. This proposed method consists of the feature selection part for selecting candidate feature subset by mutual information and the optimal feature selection part for choosing optimal feature subset by BPSO in the candidate feature subsets. In the candidate feature selection part, we computed the mutual information of all features, respectively and selected a candidate feature subset by the ranking of mutual information. In the optimal feature selection part, optimal feature subset can be found by BPSO in the candidate feature subset. In the BPSO process, we used multi-object function to optimize both accuracy of classifier and selected feature subset size. DNA expression dataset are used for estimating the performance of the proposed method. Experimental results show that this method can achieve better performance for pattern recognition problems than conventional ones.

A Study on the Evaluation of Selection Attributes of Spa Destination by IPA (IP분석에 의한 온천관광지 선택속성 평가 연구)

  • Kim, Si-Joong
    • Journal of the Economic Geographical Society of Korea
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    • v.12 no.2
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    • pp.159-178
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    • 2009
  • The purpose of the current study was to evaluate the importance-performance levels for the selection attributes of spa destination and to analyze the gap between importance levels of the selection attributes. The data were collected from the spa visitors to Yuseong spa complex. The findings of the current study were as belows: 1. as the results of factor analysis of 32 selection attributes, five factors were generated, such as "spa and supporting facilities", "surrounding conditions around spa resort", "friendship and the intention of recommendation", "spa water" and "fees of spa entry". 2. the mean analysis showed the statistically significant difference among the selection attributes for importance-performance levels and the mean levels of five factors were rank-ordered as in "spa and supporting facilities", "friendship and the intention of recommendation", "fees of spa entry", and "surrounding conditions around spa resort", "spa water". 3. as the results of IPA, the selection attributes were distributed as belows: 9 attributes were located in I (Keep up the Good Work), 4 attributes were located in II (Possible Overkill), 7 attributes were located in III (Concentrate Here). and 12 attributes were located in IV (Low Priority).

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