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    빅데이터 비주얼라이제이션 사례분석 = 시각화 표현 방식을 중심으로

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    https://www.riss.kr/link?id=A100419958

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    “Every day 2.5 quintillion bytes of data are accumulating. 90% of the data we have now has accumulated over the past 2 years.”
    This is the first passage explaining big data on the IBM website.
    All actions of searching information, online shopping and uploading words and images on SNS is becoming a part of big data. However, “raw” data does not provide any significance. Movement pursuing to search the “significance” by reinterpreting an enormous number of sequences, Excel data, and text data is becoming an issue. This is where “data visualization” is introduced as a solution. It has provided a relationship between an enormous amount of randomly released data fragments with myself and has led to the attempt of discovering the hidden pattern and significance within. However, this has generally been achieved in fields related to information technology, and the attempt in the design aspect is difficult due to the high barrier of entry and approach concerning the technical aspect. This study carries significance in examining the current situation of visualization technology by analyzing “works produced with existing visualization technologies from visualization perspectives of big data” concerning a design aspect. This study is anticipated to become a prior study for UI and UX design developed in the big data visualization field by the participation of designers in the professional field of big data analysis and visualization technology, which are expected to increase in the future.
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    “Every day 2.5 quintillion bytes of data are accumulating. 90% of the data we have now has accumulated over the past 2 years.” This is the first passage explaining big data on the IBM website. All actions of searching information, online sho...

    “Every day 2.5 quintillion bytes of data are accumulating. 90% of the data we have now has accumulated over the past 2 years.”
    This is the first passage explaining big data on the IBM website.
    All actions of searching information, online shopping and uploading words and images on SNS is becoming a part of big data. However, “raw” data does not provide any significance. Movement pursuing to search the “significance” by reinterpreting an enormous number of sequences, Excel data, and text data is becoming an issue. This is where “data visualization” is introduced as a solution. It has provided a relationship between an enormous amount of randomly released data fragments with myself and has led to the attempt of discovering the hidden pattern and significance within. However, this has generally been achieved in fields related to information technology, and the attempt in the design aspect is difficult due to the high barrier of entry and approach concerning the technical aspect. This study carries significance in examining the current situation of visualization technology by analyzing “works produced with existing visualization technologies from visualization perspectives of big data” concerning a design aspect. This study is anticipated to become a prior study for UI and UX design developed in the big data visualization field by the participation of designers in the professional field of big data analysis and visualization technology, which are expected to increase in the future.

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    참고문헌 (Reference)

    1 편집부, "빅데이터와 DBMS의 시장전망" 하연 2012

    2 박준규, "빅데이터를 위한 분석기술 활용방안 연구" 세종대학교 2013

    3 라자트 파하리아, "빅데이터 게임화 전략과 만나다" 처음북스 2013

    4 스즈키 료스게, "빅 데이터 비즈니스" 더숲 2012

    5 Hadley Wickham, "ggplot2: Elegant Graphics for Data Analysis" SPRINGER 2009

    6 T. Hastie, "The Elements of Statistical Learning" SPRINGER 2009

    7 John Gantz, "Extracting Value from Chaos"

    1 편집부, "빅데이터와 DBMS의 시장전망" 하연 2012

    2 박준규, "빅데이터를 위한 분석기술 활용방안 연구" 세종대학교 2013

    3 라자트 파하리아, "빅데이터 게임화 전략과 만나다" 처음북스 2013

    4 스즈키 료스게, "빅 데이터 비즈니스" 더숲 2012

    5 Hadley Wickham, "ggplot2: Elegant Graphics for Data Analysis" SPRINGER 2009

    6 T. Hastie, "The Elements of Statistical Learning" SPRINGER 2009

    7 John Gantz, "Extracting Value from Chaos"

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    학술지 이력

    학술지 이력
    연월일 이력구분 이력상세 등재구분
    2027 평가 재인증평가 신청대상 (재인증)
    2021-01-01 등재 등재학술지 유지 (재인증) KCI등재
    2018-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2016-03-15 학술지명변경 외국어명 : 미등록 -> Journal of Integrated Design Research KCI등재
    2015-01-01 등재 등재학술지 선정 (계속평가) KCI등재
    2014-03-24 학술지명변경 한글명 : Journal of Digital Interaction Design -> Journal of Integrated Design Research KCI등재후보
    2013-01-01 등재 등재후보학술지 유지 (기타) KCI등재후보
    2012-01-01 등재 등재후보학술지 유지 (기타) KCI등재후보
    2010-01-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
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    학술지 인용정보

    학술지 인용정보
    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 0.29 0.29 0.31
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    0.37 0.34 0.528 0.09
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