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        <title><![CDATA[오픈 서비스, 오픈 데이터 Sunny's Blog]]></title>
        <link>http://blog.daum.net/openservice</link>
        <description>How open it? = How share it?, 
How socialize it? = How we could be co-winner?
</description>
        <language>ko</language>
                <pubDate>Tue, 24 Nov 2009 09:52:38 +0900</pubDate>
                <webMaster>Sunny</webMaster>
        <generator>Daum Blog (http://blog.daum.net/)</generator>
        <ttl>100</ttl>
        <image>
        	<url>
        	<![CDATA[http://cfile228.uf.daum.net/image/121CB70C4A14FD4B18922A]]>
        	</url>
        </image>
         		 		
			        <item>        
	            <title><![CDATA[막내아들 동민이의 멋진 태권무]]></title>
	            <description>동민이가 이렇게 컸어요. 동민이의 태권무 감상하세요. 하얀 도복입은 아이가 동민이 입니다. ㅋㅋ 댓글로 감상문 한줄... &lt;br&gt;&lt;br&gt;tag : &lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=우리아들&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;우리아들&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=김동민&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;김동민&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=태권무&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;태권무&lt;/a&gt;</description>
	            <link>http://blog.daum.net/openservice/57</link>
	            	            <pubDate>Tue, 24 Nov 2009 09:52:38 +0900</pubDate>
	            <author>Sunny</author>
	            <guid isPermaLink="true">http://blog.daum.net/openservice/57</guid>
	            	            		           	<category><![CDATA[횡설수설]]></category>
	            		           	<category><![CDATA[우리아들]]></category>
	            		           	<category><![CDATA[김동민]]></category>
	            		           	<category><![CDATA[태권무]]></category>
	            	        </item>
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	            <title><![CDATA[수학_삼각형의 무게중심]]></title>
	            <description>여기에서 긁어 왔습니다. 저작권에 문제가 있으면 바로 내리겠습니다. </description>
	            <link>http://blog.daum.net/openservice/56</link>
	            	            <pubDate>Mon, 23 Nov 2009 11:03:28 +0900</pubDate>
	            <author>Sunny</author>
	            <guid isPermaLink="true">http://blog.daum.net/openservice/56</guid>
	            	            		           	<category><![CDATA[횡설수설]]></category>
	            	        </item>
		  	        <item>        
	            <title><![CDATA[터]]></title>
	            <description>재근이가 노래하고 선태가 반주하고.. &lt;터&gt; 1.저 산맥은 말도 없이 오천년을 살았네 모진 바람을 다 이기고 이 터를 지켜왔네저 강물은 말도 없이 오천년을 흘렀네 온갖 슬픔을 다 이기고 이 터를 지켜왔네 설악산을 휘휘돌아 동해로 접어드니아름다운 이 강산은 동......</description>
	            <link>http://blog.daum.net/openservice/54</link>
	            	            <pubDate>Fri, 20 Nov 2009 13:23:05 +0900</pubDate>
	            <author>Sunny</author>
	            <guid isPermaLink="true">http://blog.daum.net/openservice/54</guid>
	            	            		           	<category><![CDATA[나의노래]]></category>
	            	        </item>
		  	        <item>        
	            <title><![CDATA[아이디어]]></title>
	            <description> 평균, 중앙값, 절사평균.... 접속시간 대비 방문횟수 접속시간이 긴 사용자가 방문횟수도 많다. 다운로드를 많이 하는 이용자가 상시이용자 이다. 실전통계 실전데이터마이닝 데이터마이닝이 뭐야? 통계가 뭐야? 데이터마이닝에서 사용되는 통계 엉터리 통계책, 그러나 감동의 물결</description>
	            <link>http://blog.daum.net/openservice/53</link>
	            	            <pubDate>Thu, 19 Nov 2009 11:06:34 +0900</pubDate>
	            <author>Sunny</author>
	            <guid isPermaLink="true">http://blog.daum.net/openservice/53</guid>
	            	            		           	<category><![CDATA[횡설수설]]></category>
	            	        </item>
		  	        <item>        
	            <title><![CDATA[데이터마이닝_데이터탐색]]></title>
	            <description>data exploration에서 넓게 사용되는 표준 방법 -요약통계(summary statistic): 집합값에 대한 평균이나 표준편차와 같은 것 -가시화 기법: 히스토그램, 산포도(scatter plot) -OLAP은 최근에 개발되었는데, 다차원 배열의 값들을 탐색......&lt;br&gt;&lt;br&gt;tag : &lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=데이터마이닝&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;데이터마이닝&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=데이터탐색&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;데이터탐색&lt;/a&gt;</description>
	            <link>http://blog.daum.net/openservice/52</link>
	            	            <pubDate>Thu, 19 Nov 2009 10:42:38 +0900</pubDate>
	            <author>Sunny</author>
	            <guid isPermaLink="true">http://blog.daum.net/openservice/52</guid>
	            	            		           	<category><![CDATA[정리자료_데마통계]]></category>
	            		           	<category><![CDATA[데이터마이닝]]></category>
	            		           	<category><![CDATA[데이터탐색]]></category>
	            	        </item>
		  	        <item>        
	            <title><![CDATA[통계_산포도와 회귀식 그리고 상관분석, 상관계수]]></title>
	            <description>-산포도(scatter plot)란 두 변수의 짝들을 좌표상에 표시한 그림이다. -두 변수의 관계를 정확히 파악하기 위해서 두 변수간의 규칙성을 나타내는 함수관계를 구할 필요가 있음. -이와 같은 두 변수간의 함수관계를 회귀모형이라 하고, 구체적인 함수식을 찾아낸 것을......&lt;br&gt;&lt;br&gt;tag : &lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=통계&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;통계&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=산포도&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;산포도&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=상관분석&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;상관분석&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=공분산&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;공분산&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=회귀식&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;회귀식&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=상관계수&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;상관계수&lt;/a&gt;</description>
	            <link>http://blog.daum.net/openservice/51</link>
	            	            <pubDate>Wed, 18 Nov 2009 10:37:01 +0900</pubDate>
	            <author>Sunny</author>
	            <guid isPermaLink="true">http://blog.daum.net/openservice/51</guid>
	            	            		           	<category><![CDATA[정리자료_데마통계]]></category>
	            		           	<category><![CDATA[통계]]></category>
	            		           	<category><![CDATA[산포도]]></category>
	            		           	<category><![CDATA[상관분석]]></category>
	            		           	<category><![CDATA[공분산]]></category>
	            		           	<category><![CDATA[회귀식]]></category>
	            		           	<category><![CDATA[상관계수]]></category>
	            	        </item>
		  	        <item>        
	            <title><![CDATA[벡터]]></title>
	            <description> 스칼라(scalar): 길이, 질량과 같이 크기만 갖는 양 벡터(vector): 속도나 힘과 같이 크기와 방향을 동시에 갖는 양 -크기가 1인 벡터를 '단위벡터'라 한다. -평면에서의 벡터를 평면벡터, 공간에서의 벡터를 공간벡터라 함. -크기가 같고 방향이 같을 때,......&lt;br&gt;&lt;br&gt;tag : &lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=벡터&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;벡터&lt;/a&gt;</description>
	            <link>http://blog.daum.net/openservice/50</link>
	            	            <pubDate>Mon, 16 Nov 2009 19:48:30 +0900</pubDate>
	            <author>Sunny</author>
	            <guid isPermaLink="true">http://blog.daum.net/openservice/50</guid>
	            	            		           	<category><![CDATA[정리자료_데마통계]]></category>
	            		           	<category><![CDATA[벡터]]></category>
	            	        </item>
		  	        <item>        
	            <title><![CDATA[해밍 거리]]></title>
	            <description>데이터 객체 간의 비유사도 -유클리드 거리(Euclidean distance), 민코우스키 거리(Minkowski distance) -해밍 거리(Hamming distance) 해밍 거리(해밍距離 , Hamming distance) 정보 이론에서, 해밍 거리(해밍距離 ......&lt;br&gt;&lt;br&gt;tag : &lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=해밍거리&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;해밍거리&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=hamming distance&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;hamming distance&lt;/a&gt;</description>
	            <link>http://blog.daum.net/openservice/49</link>
	            	            <pubDate>Sat, 14 Nov 2009 11:33:12 +0900</pubDate>
	            <author>Sunny</author>
	            <guid isPermaLink="true">http://blog.daum.net/openservice/49</guid>
	            	            		           	<category><![CDATA[정리자료_데마통계]]></category>
	            		           	<category><![CDATA[해밍거리]]></category>
	            		           	<category><![CDATA[hamming distance]]></category>
	            	        </item>
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	            <title><![CDATA[신경망, 나무형 분류, K-평균 군집화, 자기조직화 지도]]></title>
	            <description>여기에서(http://www.korea.ac.kr/~stat420/Essay/2003summ.htm) 퍼온 글입니다. -------------- 이하 퍼온글 ----------- 데이터 마이닝 모델링에 대한 개념적 이해 허 명 회 (고려대학교 통계학 교수) 　 많은 기......</description>
	            <link>http://blog.daum.net/openservice/48</link>
	            	            <pubDate>Fri, 13 Nov 2009 20:38:07 +0900</pubDate>
	            <author>Sunny</author>
	            <guid isPermaLink="true">http://blog.daum.net/openservice/48</guid>
	            	            		           	<category><![CDATA[자료수집_데마통계]]></category>
	            	        </item>
		  	        <item>        
	            <title><![CDATA[데이터마이닝-데이터]]></title>
	            <description>최초작성일: 2009.11.2 최종갱신일: 2009. 11. 0x 작성자:김선태 stkim@kisti.re.kr 042-869-1892 010-5025-6182 데이터 집합 = 데이터 모임 데이터 집합(data set)은 데이터 객체(data object)의 모임 데이......</description>
	            <link>http://blog.daum.net/openservice/47</link>
	            	            <pubDate>Mon, 2 Nov 2009 12:46:19 +0900</pubDate>
	            <author>Sunny</author>
	            <guid isPermaLink="true">http://blog.daum.net/openservice/47</guid>
	            	            		           	<category><![CDATA[정리자료_데마통계]]></category>
	            	        </item>
		  	        <item>        
	            <title><![CDATA[경우의 수]]></title>
	            <description>최초작성일: 2009.10.27 최종갱신일: 2009. 10. 2x 작성자:김선태 stkim@kisti.re.kr 042-869-1892 010-5025-6182 경우의 수 합의 법칙 -&gt; A 또는 B (+) 예) 주사위 두개 던져서 합이 4 or 5가 되는 경우......</description>
	            <link>http://blog.daum.net/openservice/46</link>
	            	            <pubDate>Tue, 27 Oct 2009 14:47:03 +0900</pubDate>
	            <author>Sunny</author>
	            <guid isPermaLink="true">http://blog.daum.net/openservice/46</guid>
	            	            		           	<category><![CDATA[정리자료_데마통계]]></category>
	            	        </item>
		  	        <item>        
	            <title><![CDATA[이산확률분포]]></title>
	            <description>최초작성일: 2009.10.27 최종갱신일: 2009. 10. 29 작성자:김선태 stkim@kisti.re.kr 042-869-1892 010-5025-6182 확률분포 -한 변수가 어떤 실험이나 관찰의 결과로 나타날 수 있는 모든 상황과 각 상황이 나타날 확률을 표......&lt;br&gt;&lt;br&gt;tag : &lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=초기하분포&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;초기하분포&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=이항분포&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;이항분포&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=이산확률분포&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;이산확률분포&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=포아송분포&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;포아송분포&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=이항분포표&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;이항분포표&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=포아송분포표&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;포아송분포표&lt;/a&gt;</description>
	            <link>http://blog.daum.net/openservice/45</link>
	            	            <pubDate>Tue, 27 Oct 2009 12:52:09 +0900</pubDate>
	            <author>Sunny</author>
	            <guid isPermaLink="true">http://blog.daum.net/openservice/45</guid>
	            	            		           	<category><![CDATA[정리자료_데마통계]]></category>
	            		           	<category><![CDATA[초기하분포]]></category>
	            		           	<category><![CDATA[이항분포]]></category>
	            		           	<category><![CDATA[이산확률분포]]></category>
	            		           	<category><![CDATA[포아송분포]]></category>
	            		           	<category><![CDATA[이항분포표]]></category>
	            		           	<category><![CDATA[포아송분포표]]></category>
	            	        </item>
		  	        <item>        
	            <title><![CDATA[확률분포]]></title>
	            <description>최초작성일: 2009.10.26 최종갱신일: 2009. 10. 27 작성자:김선태 stkim@kisti.re.kr 042-869-1892 010-5025-6182 확률변수(random variable) -일정한 확률을 가지고 발생하는 사건에 수치를 부여한 것 -보통 X......&lt;br&gt;&lt;br&gt;tag : &lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=분산&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;분산&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=정규분포&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;정규분포&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=표준편차&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;표준편차&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=확률분포&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;확률분포&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=기대값&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;기대값&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=결합확률분포&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;결합확률분포&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=주변확률분포&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;주변확률분포&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=공분산&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;공분산&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=결합확률분포기대값&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;결합확률분포기대값&lt;/a&gt;</description>
	            <link>http://blog.daum.net/openservice/44</link>
	            	            <pubDate>Tue, 27 Oct 2009 07:42:46 +0900</pubDate>
	            <author>Sunny</author>
	            <guid isPermaLink="true">http://blog.daum.net/openservice/44</guid>
	            	            		           	<category><![CDATA[정리자료_데마통계]]></category>
	            		           	<category><![CDATA[분산]]></category>
	            		           	<category><![CDATA[정규분포]]></category>
	            		           	<category><![CDATA[표준편차]]></category>
	            		           	<category><![CDATA[확률분포]]></category>
	            		           	<category><![CDATA[기대값]]></category>
	            		           	<category><![CDATA[결합확률분포]]></category>
	            		           	<category><![CDATA[주변확률분포]]></category>
	            		           	<category><![CDATA[공분산]]></category>
	            		           	<category><![CDATA[결합확률분포기대값]]></category>
	            	        </item>
		  	        <item>        
	            <title><![CDATA[확률이론]]></title>
	            <description> 최초작성일: 2009.10.24 최종갱신일: 2009. 10. 26 작성자:김선태 stkim@kisti.re.kr 042-869-1892 010-5025-6182 확률의 정의 -상대빈도정의 -동등발생정의 집합이론과 확률이론 구분 확률이론 집합이론 실험이나 관찰에서 얻......&lt;br&gt;&lt;br&gt;tag : &lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=공리&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;공리&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=확률&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;확률&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=조건부확률&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;조건부확률&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=확률의공리&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;확률의공리&lt;/a&gt;</description>
	            <link>http://blog.daum.net/openservice/43</link>
	            	            <pubDate>Sat, 24 Oct 2009 14:07:34 +0900</pubDate>
	            <author>Sunny</author>
	            <guid isPermaLink="true">http://blog.daum.net/openservice/43</guid>
	            	            		           	<category><![CDATA[정리자료_데마통계]]></category>
	            		           	<category><![CDATA[공리]]></category>
	            		           	<category><![CDATA[확률]]></category>
	            		           	<category><![CDATA[조건부확률]]></category>
	            		           	<category><![CDATA[확률의공리]]></category>
	            	        </item>
		  	        <item>        
	            <title><![CDATA[분포의 특성]]></title>
	            <description> 최초작성일: 2009.10.23 최종갱신일: 2009. 10. 26 작성자:김선태 stkim@kisti.re.kr 042-869-1892 010-5025-6182 대칭이 아닐 때에 중앙값은 항상 평균과 최빈값 사이에 있다. -왼쪽꼬리분포(skewed to the le......&lt;br&gt;&lt;br&gt;tag : &lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=통계&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;통계&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=분포&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;분포&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=확률&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;확률&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=평균&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;평균&lt;/a&gt;,&amp;nbsp;&lt;a href=&quot;/_blog/tagArticleList.do?BLOGID=0PTUi&amp;amp;tagName=평균편차&quot; rel=&quot;tag&quot; target=&quot;_blank&quot;&gt;평균편차&lt;/a&gt;</description>
	            <link>http://blog.daum.net/openservice/42</link>
	            	            <pubDate>Fri, 23 Oct 2009 21:46:15 +0900</pubDate>
	            <author>Sunny</author>
	            <guid isPermaLink="true">http://blog.daum.net/openservice/42</guid>
	            	            		           	<category><![CDATA[정리자료_데마통계]]></category>
	            		           	<category><![CDATA[통계]]></category>
	            		           	<category><![CDATA[분포]]></category>
	            		           	<category><![CDATA[확률]]></category>
	            		           	<category><![CDATA[평균]]></category>
	            		           	<category><![CDATA[평균편차]]></category>
	            	        </item>
		  			       </channel>
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