• ํ†ตํ•ฉ๊ฒ€์ƒ‰
  • ๋Œ€ํ•™๋ ˆํฌํŠธ
  • ๋…ผ๋ฌธ
  • ๊ธฐ์—…์‹ ์šฉ๋ณด๊ณ ์„œ
  • ์ทจ์—…์ž๋ฃŒ
  • ํŒŒ์›Œํฌ์ธํŠธ๋ฐฐ๊ฒฝ
  • ์„œ์‹

๋…ผ๋ฌธ 6๊ฑด

๋ฐ์ดํ„ฐ ๋งˆ์ด๋‹(data mining)์ด๋ผ ๋ถˆ๋ฆฌ๋Š” ์ด CRM ์ž‘์—…์˜ ํ•ต์‹ฌ์€ ์žฅ๊ธฐ๊ฐ„์— ๊ฑธ์นœ ํ’๋ถ€ํ•œ ์ž๋ฃŒ ์ˆ˜์ง‘๊ณผ ๊ณผํ•™์ ์ธ ๋ถ„์„. ์ด๋Š” ์ตœ๊ทผ โ€˜๊ณ ๊ฐ ๋งž์ถคํ˜•โ€™ ์ ํฌ๋ฅผ ํ†ตํ•ด ํšจ์œจ์„ฑ์„ ๊ทน๋Œ€ํ™”ํ•˜๋ ค๋Š” ์œ ํ†ต์—…์ฒด๋“ค์ด ์ ๊ทน ๊ฐ•ํ™”ํ•˜๊ณ  ์žˆ๋Š” ๋ถ€๋ฌธ์ด๊ธฐ๋„ ํ•˜๋‹ค. CRM์€ ๊ณ ๊ฐ์—
  • ํŽ˜์ด์ง€ 29ํŽ˜์ด์ง€
  • ๊ฐ€๊ฒฉ 3,000์›
  • ๋ฐœํ–‰์ผ 2010.01.21
  • ํŒŒ์ผ์ข…๋ฅ˜ ํ•œ๊ธ€(hwp)
  • ๋ฐœํ–‰๊ธฐ๊ด€
  • ์ €์ž
Data Mining์„ ํ™œ์šฉํ•œ ๊ณต๊ฐ„๋ณ€ํ™” ์—ฐ๊ตฌ์— ๋„์ž…ํ•˜๋Š” ๊ฒƒ์ด ํ•„์š”ํ•˜๋ฉฐ, ์‹ ๋„์‹œ ๋ฐ ํƒ์ง€๊ฐœ๋ฐœ์˜ ๊ฒฝ์šฐ ๋ณธ Simulation์„ ์ ์šฉํ•  ๊ฒฝ์šฐ ํƒ„์†Œ๋ฐฐ์ถœ๋Ÿ‰, ํ† ์ง€๋ณ€ํ™”, ๊ตํ†ต๋Ÿ‰ ๋“ฑ์„ ์ข…ํ•ฉ์ ์œผ๋กœ ๋ถ„์„ํ•  ์ˆ˜ ์žˆ๋Š” ๋„๊ตฌ๋กœ ํ™œ์šฉ ๊ฐ€๋Šฅํ•  ๊ฒƒ์ด๋‹ค. - ์ฐธ ๊ณ  ๋ฌธ ํ—Œ - 1. ๋„์‹œ๊ณ„ํš ์ˆ˜๋ฆฝ
  • ํŽ˜์ด์ง€ 9ํŽ˜์ด์ง€
  • ๊ฐ€๊ฒฉ 3,000์›
  • ๋ฐœํ–‰์ผ 2011.02.17
  • ํŒŒ์ผ์ข…๋ฅ˜ ํ•œ๊ธ€(hwp)
  • ๋ฐœํ–‰๊ธฐ๊ด€
  • ์ €์ž
๋ฐ์ดํ„ฐ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ํ†ตํ–‰๋ฐœ์ƒ๋ชจํ˜•์„ ๊ฐœ๋ฐœํ•˜์˜€์ง€๋งŒ ๋‹ค์Œ๊ณผ ๊ฐ™์€ ํ•œ๊ณ„๋ฅผ ๋‚ด์žฌํ•˜๊ณ  ์žˆ๋‹ค. ์ฒซ์งธ, ์ž๋ฃŒ์™€ ๋ณ€์ˆ˜ ์ˆ˜์ง‘์— ๋Œ€ํ•œ ํ•œ๊ณ„์ด๋‹ค. ํ†ตํ–‰ ๋ฐœ์ƒ๋ฅ ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์ ‘๊ทผ์„ฑ(CBD) ๋“ฑ์„ ์ถ”๊ฐ€์ ์œผ๋กœ ์กฐ์‚ฌ ๋ถ„์„ํ•œ๋‹ค๋ฉด, ๋”์šฑ ์˜๋ฏธ ์žˆ๋Š” ์‹œ์‚ฌ์ ์„ ๋„์ถœํ• 
  • ํŽ˜์ด์ง€ 10ํŽ˜์ด์ง€
  • ๊ฐ€๊ฒฉ 3,000์›
  • ๋ฐœํ–‰์ผ 2011.02.17
  • ํŒŒ์ผ์ข…๋ฅ˜ ํ•œ๊ธ€(hwp)
  • ๋ฐœํ–‰๊ธฐ๊ด€
  • ์ €์ž
data mining Intelligent Building and Smart Home Conference(2009), A Prototype of Smart Interactive TV Netmag(2010), The future is here - Samsung 'Smart TV' โ—‹ ์ธํ„ฐ๋„ท์‚ฌ์ดํŠธ ์• ํ”Œ ์Šค๋งˆํŠธTV ํ™ˆํŽ˜์ด์ง€, http://www.apple.com/appletv ๊ตฌ๊ธ€ ์Šค๋งˆํŠธTV ํ™ˆํŽ˜์ด์ง€, http://www.google.com/tv ์‚ผ์„ฑ์ „์ž ์Šค๋งˆ
  • ํŽ˜์ด์ง€ 37ํŽ˜์ด์ง€
  • ๊ฐ€๊ฒฉ 4,000์›
  • ๋ฐœํ–‰์ผ 2013.01.28
  • ํŒŒ์ผ์ข…๋ฅ˜ ํ•œ๊ธ€(hwp)
  • ๋ฐœํ–‰๊ธฐ๊ด€
  • ์ €์ž
๋ฐ์ดํ„ฐ๋งˆ์ด๋‹ ๊ธฐ๋ฒ• ์—ฐ๊ตฌ, ๊น€์ข…๋ฏผ, ์ตœ๊ฒฝํ˜ธ, ์ด๋™ํœ˜, ์ •๋ณดยท๋ณด์•ˆ๋…ผ๋ฌธ์ง€ ์ œ12๊ถŒ ์ œ2ํ˜ธ (2012๋…„ 5์›”) pp.61-70 1598-7329 ํŠน์ˆ˜๊ธฐ์ˆ  ์ƒ˜ํ”Œ ๊ตฐ์ง‘ํ™”๋ฅผ ์ด์šฉํ•œ ๊ฐœ์„ ๋œ ์•„๋‹ค๋ถ€์ŠคํŠธ ์•Œ๊ณ ๋ฆฌ์ฆ˜, ๋ฐฑ์—ด๋ฏผ, ๊น€์ค‘๊ทผ, ๊น€ํšŒ์œจ, ํ•œ๊ตญ๋ฐฉ์†ก๊ณตํ•™ํšŒ์ง€ ์ œ18๊ถŒ ์ œ4ํ˜ธ ํ†ต๊ถŒ ์ œ73ํ˜ธ (20
  • ํŽ˜์ด์ง€ 8ํŽ˜์ด์ง€
  • ๊ฐ€๊ฒฉ 3,000์›
  • ๋ฐœํ–‰์ผ 2015.11.17
  • ํŒŒ์ผ์ข…๋ฅ˜ ํ•œ๊ธ€(hwp)
  • ๋ฐœํ–‰๊ธฐ๊ด€
  • ์ €์ž
data analysis for the survey was carried out through mean, standard deviation, oneway ANOVA and scheff. More specifically, it investigated (1) What kinds of life events are the most stressful ones to ; (2) Do these differ according to grade level. The results are as follows. First, study and career
  • ํŽ˜์ด์ง€ 15ํŽ˜์ด์ง€
  • ๊ฐ€๊ฒฉ 3,300์›
  • ๋ฐœํ–‰์ผ 2014.01.14
  • ํŒŒ์ผ์ข…๋ฅ˜ ํ•œ๊ธ€(hwp)
  • ๋ฐœํ–‰๊ธฐ๊ด€
  • ์ €์ž
์ด์ „ 1 ๋‹ค์Œ
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