01363nam a2200313 c 4500001001300000005001500013007000300028008004100031020002500072049002800097052001800125056001400143082001700157245018200174260006700356300004000423500005800463504002400521650004700545650004300592650004500635710006500680880009400745880007500839880005300914910005800967910001001025950001401035KMO20176325320180209103445ta170822s2016    tjkad         000   kor    a9788929408664g935600 lEM6797519lEM6797520c201a325.15b17-11  a325.152601a658.4038223006880-01a딥러닝을 활용한 날씨 빅데이터와 소상공인 매출 분석 :b날씨매출지수와 매출활성화지수 개발 /d한국과학기술정보연구원 [편]  6880-02a[대전] :b한국과학기술정보연구원,c[2016]  av, 70 p. :b삽화, 도표 ;c25 cm  a권말부록: 날씨매출지수 세부 분석 결과  a참고문헌: p. 68 8a정보 분석[情報分析]0KSH2000023872 8a빅 데이터[big data]0KSH2014000017 8a딥 러닝[deep learning]0KSH2016000040  6880-03a한국과학기술정보연구원0KAB2014004554aut006245-01/(BaDip reoning eul hwaryong han nalssi bik deiteo wa sosanggongin maechul bunseok  6260-02/(Ba[Daejeon] :bHanguk Gwahak Gisul Jeongbo Yeonguwon,c[2016]  6710-03/(BaHanguk Gwahak Gisul Jeongbo Yeonguwon 0aKorea Institute of Science and Technology Information 0aKISTI1 a비매품