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  • ๊ธฐ์—…์‹ ์šฉ๋ณด๊ณ ์„œ
  • ์ทจ์—…์ž๋ฃŒ
  • ํŒŒ์›Œํฌ์ธํŠธ๋ฐฐ๊ฒฝ
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data by using R programming. Also, we introduce the data-mining to derive the purpose-specific customized information from the structured review information drawn by the text-mining.์ดˆ๋ก ABSTRACT 1. ์„œ๋ก  2. ๊ด€๋ จ ์—ฐ๊ตฌ 3. ๋ฆฌ๋ทฐ ํ…์ŠคํŠธ ๋งˆ์ด๋‹ ํ”„๋ ˆ์ž„์›Œํฌ 4. ๋ฆฌ๋ทฐ ํ…์ŠคํŠธ ๋งˆ์ด๋‹ ์ ์šฉ ์‚ฌ๋ก€ 5.
  • ํŽ˜์ด์ง€ 11ํŽ˜์ด์ง€
  • ๊ฐ€๊ฒฉ 6,000์›
  • ๋ฐœํ–‰์ผ 2019.03.01
  • ํŒŒ์ผ์ข…๋ฅ˜ ์•„ํฌ๋กœ๋ฒณ(pdf)
  • ๋ฐœํ–‰๊ธฐ๊ด€ ํ•œ๊ตญ์ „์ž๊ฑฐ๋ž˜ํ•™ํšŒ
  • ์ €์ž ๊น€์ฃผ์˜, ๊น€๋™์ˆ˜
data enables to setup the system inputs and to reasonably estimate the initial values of design variables. A user-friendly environment was implemented by developing GUI(Graphical User Interface) integrated program from data-mining to mission design of the SLV.์ดˆ๋ก ABSTRACT 1. ์„œ๋ก  2. ๋ฐ์ดํ„ฐ๋งˆ์ด๋‹ 3.
  • ํŽ˜์ด์ง€ 5ํŽ˜์ด์ง€
  • ๊ฐ€๊ฒฉ 6,000์›
  • ๋ฐœํ–‰์ผ 2019.03.01
  • ํŒŒ์ผ์ข…๋ฅ˜ ์•„ํฌ๋กœ๋ฒณ(pdf)
  • ๋ฐœํ–‰๊ธฐ๊ด€ ํ•œ๊ตญํ•ญ๊ณต์šฐ์ฃผํ•™ํšŒ
  • ์ €์ž ๊น€์ง„์šฑ, ํ† ์šฐ๋‹ค๋ฃจ์ธ, ์„œ์ •์ผ, ๋ฐ•๋‚œํฌ, ๊ถŒํƒœ์ค€, ์ด์žฌ์šฐ, ๊น€์ƒํ˜ธ
๋ฐ์ดํ„ฐ๋งˆ์ด๋‹ ์‹œ์Šคํ…œ์€ ๊ฒฝ์˜์„ฑ๊ณผ์˜ ๋ณ€ํ™”๋ฅผ ์ฃผ๋„ํ•˜๋Š” ์ค‘์š” ๊ด€๋ฆฌ๋ณ€์ˆ˜๋ฅผ ์ถ”์ถœํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์œ ์ „์•Œ๊ณ ๋ฆฌ์ฆ˜(Genetic Algorithms)์„ ํ™œ์šฉํ•œ ๋ฐ์ดํ„ฐ๋งˆ์ด๋‹(Data Mining)์ฒด๊ณ„๋ฅผ ๊ตฌํ˜„ํ•จ์œผ๋กœ์จ, ๊ธฐ์กด์˜ ๋‹จ๋ฐœ์ ์ธ ๋ฐฉ๋ฒ•์œผ๋กœ ๊ธฐ์—… ๊ฒฝ์˜์„ฑ๊ณผ๋ฅผ ๋ถ„์„ํ•˜๋Š” ๊ฒƒ์ด ์•„๋‹ˆ๋ผ,
  • ํŽ˜์ด์ง€ 7ํŽ˜์ด์ง€
  • ๊ฐ€๊ฒฉ 6,000์›
  • ๋ฐœํ–‰์ผ 2018.12.27
  • ํŒŒ์ผ์ข…๋ฅ˜ ์•„ํฌ๋กœ๋ฒณ(pdf)
  • ๋ฐœํ–‰๊ธฐ๊ด€ ํ•œ๊ตญ์ปดํ“จํ„ฐ์ •๋ณดํ•™ํšŒ
  • ์ €์ž ์กฐ์„ฑํ›ˆ, ์•ˆ๋™๊ทœ, ๊น€์ œํ™
This study attempts to determine the theory of convergence model of tourism information service. To solve the structural problem, it is fulfilled that the data-mining methodology and the local tourism demand variables, and then tourism destination evaluation elements are identified. This study is se
  • ํŽ˜์ด์ง€ 21ํŽ˜์ด์ง€
  • ๊ฐ€๊ฒฉ 5,600์›
  • ๋ฐœํ–‰์ผ 2014.11.13
  • ํŒŒ์ผ์ข…๋ฅ˜ ์•„ํฌ๋กœ๋ฒณ(pdf)
  • ๋ฐœํ–‰๊ธฐ๊ด€ ํ•œ๊ตญ๊ด€๊ด‘ํ•™ํšŒ
  • ์ €์ž ๋ณ€์šฐํฌ ( Woo Hee Byun ) , ์ด์ •์—ด ( Timothy Lee ) , ๋ณ€์„ฑํฌ ( Seong Hee Byun )
Data-Mining Technique. We installed Network Tap to implement the analysis system of network action and copied the network packet. The copied packet is stored at the database through MainMemoryDB(MMDB) of the high-speed. The stored data analyze the usersโ€™ action patterns by using Data-Mining Techniqu
  • ํŽ˜์ด์ง€ 8ํŽ˜์ด์ง€
  • ๊ฐ€๊ฒฉ 4,000์›
  • ๋ฐœํ–‰์ผ 2016.06.01
  • ํŒŒ์ผ์ข…๋ฅ˜ ์•„ํฌ๋กœ๋ฒณ(pdf)
  • ๋ฐœํ–‰๊ธฐ๊ด€ ํ•œ๊ตญ์ •๋ณด์ฒ˜๋ฆฌํ•™ํšŒ
  • ์ €์ž ์ •์„ธ์˜ ( Se Young Jeong ) , ์ด๋ณ‘๊ถŒ ( Byung Kwon Lee )
using decision tree analysis. To validate the efficiency, the author compares the estimated demand with real demand from the Korea Power Exchange.์š”์•ฝ Abstract 1. ์„œ๋ก  2. ๋‹จ๊ธฐ๋ถ€ํ•˜์˜ˆ์ธก ๊ธฐ๋ฒ• 3. ๋ฐ์ดํ„ฐ ๋งˆ์ด๋‹ ๊ธฐ๋ฒ• 4. ๋ฐ์ดํ„ฐ ๋งˆ์ด๋‹์˜ ๋‹จ๊ธฐ๋ถ€ํ•˜์˜ˆ์ธก ์ ์šฉ 5. ๊ฒฐ๋ก  References ์ €์ž์†Œ๊ฐœ
  • ํŽ˜์ด์ง€ 8ํŽ˜์ด์ง€
  • ๊ฐ€๊ฒฉ 6,000์›
  • ๋ฐœํ–‰์ผ 2019.03.01
  • ํŒŒ์ผ์ข…๋ฅ˜ ์•„ํฌ๋กœ๋ฒณ(pdf)
  • ๋ฐœํ–‰๊ธฐ๊ด€ ํ•œ๊ตญ์กฐ๋ช…ยท์ „๊ธฐ์„ค๋น„ํ•™ํšŒ
  • ์ €์ž ์ตœ์ƒ์—ด, ๊น€ํ˜•์ค‘
Data mining technique can be adapted to analysing Employment information in order to discover valuable information out of large data. As the issue employment such as jobless of college graduate, recruitment for women, recruitment for elders etc. became social problem, there are many efforts of vario
  • ํŽ˜์ด์ง€ 8ํŽ˜์ด์ง€
  • ๊ฐ€๊ฒฉ 6,000์›
  • ๋ฐœํ–‰์ผ 2018.12.27
  • ํŒŒ์ผ์ข…๋ฅ˜ ์•„ํฌ๋กœ๋ฒณ(pdf)
  • ๋ฐœํ–‰๊ธฐ๊ด€ ํ•œ๊ตญ์ปดํ“จํ„ฐ์ •๋ณดํ•™ํšŒ
  • ์ €์ž ๊น€ํ˜•๋ž˜, ์ „๋„ํ™
data, it is effective to employ SOM (Self-Organizing Map) analysis, a clustering method by unsupervised learning that allows the overall comprehension, visualization, and interpretation of a multi-dimensional dataset. This research is a part of a research that applies data-mining method to architect
  • ํŽ˜์ด์ง€ 5ํŽ˜์ด์ง€
  • ๊ฐ€๊ฒฉ 6,000์›
  • ๋ฐœํ–‰์ผ 2019.01.11
  • ํŒŒ์ผ์ข…๋ฅ˜ ์•„ํฌ๋กœ๋ฒณ(pdf)
  • ๋ฐœํ–‰๊ธฐ๊ด€ ํ•œ๊ตญ์ฃผ๊ฑฐํ•™ํšŒ
  • ์ €์ž Jaepil Choi, Donghwa Shon, Youngwoo Kim, Junekyung Kang, Eunha Kim
data, it is effective to employ SOM (Self-Organizing Map) analysis, a clustering method by unsupervised learning that allows the overall comprehension, visualization, and interpretation of a multi-dimensional dataset. This research is a part of a research that applies data-mining method to architect
  • ํŽ˜์ด์ง€ 5ํŽ˜์ด์ง€
  • ๊ฐ€๊ฒฉ 6,000์›
  • ๋ฐœํ–‰์ผ 2019.01.11
  • ํŒŒ์ผ์ข…๋ฅ˜ ์•„ํฌ๋กœ๋ฒณ(pdf)
  • ๋ฐœํ–‰๊ธฐ๊ด€ ํ•œ๊ตญ์ฃผ๊ฑฐํ•™ํšŒ
  • ์ €์ž Jaepil Choi, Donghwa Shon, Youngwoo Kim, Junekyung Kang, Eunha Kim
๋ฐ์ดํ„ฐ๋งˆ์ด๋‹(Data-mining) ๋ถ„์•ผ์˜ ๋Œ€ํ‘œ์ ์ธ ๋ถ„์„๋ฒ•์ธ ๊ฒฐ์ •ํŠธ๋ฆฌ(Decision Tree) ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๊ฒฐ์ •ํŠธ๋ฆฌ ๋ถ„์„์€ ์ข…์†๋ณ€์ˆ˜์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ๋“ค์˜ ๊ด€๊ณ„๋ฅผ ํŠธ๋ฆฌ ํ˜•ํƒœ๋กœ ์ œ๊ณตํ•ด์ฃผ๋ฉฐ, ๊ทธ ๊ฒฐ๊ณผ๋Š” ์ง๊ด€์ ์œผ๋กœ ํ•ด์„๋  ์ˆ˜ ์žˆ๊ณ  ์ ์šฉ์— ์œ ์šฉํ•œ ๊ทœ์น™๋“ค
  • ํŽ˜์ด์ง€ 25ํŽ˜์ด์ง€
  • ๊ฐ€๊ฒฉ 6,000์›
  • ๋ฐœํ–‰์ผ 2019.03.01
  • ํŒŒ์ผ์ข…๋ฅ˜ ์•„ํฌ๋กœ๋ฒณ(pdf)
  • ๋ฐœํ–‰๊ธฐ๊ด€ ํ•œ๊ตญ๊ต์–‘๊ต์œกํ•™ํšŒ
  • ์ €์ž ๊น€์™„์„ญ
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