�??xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:trackback="http://madskills.com/public/xml/rss/module/trackback/" xmlns:wfw="http://wellformedweb.org/CommentAPI/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/"><channel><title>&#20122;&#27954;&#22269;&#20135;&#26085;&#38889;&#19968;&#21306;&#20108;&#21306;&#44;&#32508;&#21512;&#33394;&#20013;&#25991;&#23383;&#24149;&#44;&#20599;&#25293;&#35270;&#23631;&#19968;&#21306;</title><link>http://www.aygfsteel.com/pengminghua/category/41518.html</link><description /><language>zh-cn</language><lastBuildDate>Sun, 08 Jun 2014 17:03:42 GMT</lastBuildDate><pubDate>Sun, 08 Jun 2014 17:03:42 GMT</pubDate><ttl>60</ttl><item><title>OpenHandX-River 1.0</title><link>http://www.aygfsteel.com/pengminghua/archive/2012/11/12/ESB.html</link><dc:creator>彭明�?/dc:creator><author>彭明�?/author><pubDate>Mon, 12 Nov 2012 13:24:00 GMT</pubDate><guid>http://www.aygfsteel.com/pengminghua/archive/2012/11/12/ESB.html</guid><wfw:comment>http://www.aygfsteel.com/pengminghua/comments/391231.html</wfw:comment><comments>http://www.aygfsteel.com/pengminghua/archive/2012/11/12/ESB.html#Feedback</comments><slash:comments>2</slash:comments><wfw:commentRss>http://www.aygfsteel.com/pengminghua/comments/commentRss/391231.html</wfw:commentRss><trackback:ping>http://www.aygfsteel.com/pengminghua/services/trackbacks/391231.html</trackback:ping><description><![CDATA[&nbsp;&nbsp;&nbsp;&nbsp; 摘要: OpenHandx-River是一个OpenHandX-Unreal Web Service标准的ESB�Q�Enterprise Service Bus�Q�企业服务�ȝ��产品。ESB本��n是构�{�企业系�l�的必要元素�Q�改变了传统的��Y件架构，可以提供比传�l�中间�g产品更�ؓ廉�h(hu��n)的解��x��案，同时它还可以消除不同应用之间的技术差异，让不同的应用服务器协调运作，实现了不同服务之间的通信与整合。OpenHandx-River提供了一�U�开攄���、基于Unreal�?OpenService�Q�通过���单的服务注册�Q�来完成�_�粒度应用（服务�Q�和其他�l��g之间的互操作�Q�够满��大型异构企业环境的集成需求。OpenHandx-River是将所有基于OpenHandX-Unreal开发项目的Web Service�Q�或相同标准的Web Service�Q�集中�v来，�l�一包装、统一���理、统一入口构成企业服务�ȝ���Q�是打造数据服务�ؓ中心企业架构的重要组件。River提供了代理、点对点两种ESB服务模式�Q�同时满���_��全和高速访问的需求。在消息传递上River具备发送消息的功能�Q�解决系�l�间异步的消息和数据传递。此外OpenHandx-River也是Op&nbsp;&nbsp;<a href='http://www.aygfsteel.com/pengminghua/archive/2012/11/12/ESB.html'>阅读全文</a><img src ="http://www.aygfsteel.com/pengminghua/aggbug/391231.html" width = "1" height = "1" /><br><br><div align=right><a style="text-decoration:none;" href="http://www.aygfsteel.com/pengminghua/" target="_blank">彭明�?/a> 2012-11-12 21:24 <a href="http://www.aygfsteel.com/pengminghua/archive/2012/11/12/ESB.html#Feedback" target="_blank" style="text-decoration:none;">发表评论</a></div>]]></description></item><item><title>Open HandX 决策分析产品�Q�由于该产品需要很多准备工作，暂停�Q?/title><link>http://www.aygfsteel.com/pengminghua/archive/2009/09/02/293613.html</link><dc:creator>彭明�?/dc:creator><author>彭明�?/author><pubDate>Wed, 02 Sep 2009 08:26:00 GMT</pubDate><guid>http://www.aygfsteel.com/pengminghua/archive/2009/09/02/293613.html</guid><wfw:comment>http://www.aygfsteel.com/pengminghua/comments/293613.html</wfw:comment><comments>http://www.aygfsteel.com/pengminghua/archive/2009/09/02/293613.html#Feedback</comments><slash:comments>1</slash:comments><wfw:commentRss>http://www.aygfsteel.com/pengminghua/comments/commentRss/293613.html</wfw:commentRss><trackback:ping>http://www.aygfsteel.com/pengminghua/services/trackbacks/293613.html</trackback:ping><description><![CDATA[<p>&nbsp;&nbsp; <span style="font-family: 宋体">前言</span></p>
<p><span style="font-family: 宋体">也许�(zh��n)�用�q?/span>cognos<span style="font-family: 宋体">�{�数据挖掘工��P��但我很遗憄���告诉�(zh��n)�那只是一个功能强大的自定义报表展现工兗��?/span></p>
<p><span style="font-family: 宋体">数据挖掘�Q?/span>DM<span style="font-family: 宋体">�Q?/span>Data Mining<span style="font-family: 宋体">�Q�就是从大量的、不完全的、有噪声的、模�p�的、随机的数据中，提取隐含在其中的、�h们事先不知道的，但又是潜在的有用信息和知识的�q�程。还有很多和�q�一术语相近的术语，如从数据库中发现知识�Q?/span>KDD<span style="font-family: 宋体">�Q�、数据分析、知识抽取、商业智能、决�{�分析等�?/span> <span style="font-family: 宋体">�q�里最重要的不仅是面向特定数据库的���单检索查询调用，而且要对�q�些数据�q�行微观或宏观的�l�计、分析、综合和推理�Q�企囑֏���C��仉���的相互关联，甚至利用已有的数据对未来的活动进行预����?/span></p>
<h1><span style="font-family: 宋体">数据挖掘的数据来�?/span></h1>
<p>1<span style="font-family: 宋体">、关�p�L��据库�Q�日常运行的业务�pȝ��拥有大量的数据库</span></p>
<p>2<span style="font-family: 宋体">、数据仓�?/span></p>
<p>3<span style="font-family: 宋体">、事务数据库�Q�把一个或几个事务数据库集中到一个只�ȝ��数据挖掘�?/span></p>
<p>4<span style="font-family: 宋体">、高�U�数据库及高�U�数据库的应用：</span>CAD<span style="font-family: 宋体">�I�间数据库、文本数据库、空间数据库、多媒体数据库等</span></p>
<h1><span style="font-family: 宋体">数据挖掘的体�pȝ��构与�q�行�q�程</span></h1>
<p>
<table style="width: 460.5pt" cellspacing="0" cellpadding="0" width="614" border="0">
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            <p><span style="font-family: 宋体">�?/span></p>
            </td>
            <td style="border-right: black 1pt solid; padding-right: 0cm; border-top: black 1.5pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1pt solid; width: 66.25pt; padding-top: 0cm; border-bottom: black 1pt solid; height: 31.5pt" valign="top" width="88">
            <p><span style="font-family: 宋体">特征</span></p>
            </td>
            <td style="border-right: black 1pt solid; padding-right: 0cm; border-top: black 1.5pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1pt solid; width: 66.9pt; padding-top: 0cm; border-bottom: black 1pt solid; height: 31.5pt" valign="top" width="89">
            <p><span style="font-family: 宋体">数据挖掘���法</span></p>
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            <td style="border-right: black 1pt solid; padding-right: 0cm; border-top: black 1.5pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1pt solid; width: 91.9pt; padding-top: 0cm; border-bottom: black 1pt solid; height: 31.5pt" valign="top" width="123">
            <p><span style="font-family: 宋体">集成</span></p>
            </td>
            <td style="border-right: black 1pt solid; padding-right: 0cm; border-top: black 1.5pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1pt solid; width: 90pt; padding-top: 0cm; border-bottom: black 1pt solid; height: 31.5pt" valign="top" width="120">
            <p><span style="font-family: 宋体">分布计算模型</span></p>
            </td>
            <td style="border-right: black 1.5pt solid; padding-right: 0cm; border-top: black 1.5pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1pt solid; width: 108pt; padding-top: 0cm; border-bottom: black 1pt solid; height: 31.5pt" valign="top" width="144">
            <p><span style="font-family: 宋体">数据模型</span></p>
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        </tr>
        <tr style="height: 38.25pt">
            <td style="border-right: black 1pt solid; padding-right: 0cm; border-top: black 1pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1.5pt solid; width: 37.45pt; padding-top: 0cm; border-bottom: black 1pt solid; height: 38.25pt" valign="top" width="50">
            <p><span style="font-family: 宋体">�W�一�?/span></p>
            </td>
            <td style="border-right: black 1pt solid; padding-right: 0cm; border-top: black 1pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1pt solid; width: 66.25pt; padding-top: 0cm; border-bottom: black 1pt solid; height: 38.25pt" valign="top" width="88">
            <p><span style="font-family: 宋体">数据挖掘作�ؓ一个独立的应用</span></p>
            </td>
            <td style="border-right: black 1pt solid; padding-right: 0cm; border-top: black 1pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1pt solid; width: 66.9pt; padding-top: 0cm; border-bottom: black 1pt solid; height: 38.25pt" valign="top" width="89">
            <p><span style="font-family: 宋体">支持一个或者多个算�?/span></p>
            </td>
            <td style="border-right: black 1pt solid; padding-right: 0cm; border-top: black 1pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1pt solid; width: 91.9pt; padding-top: 0cm; border-bottom: black 1pt solid; height: 38.25pt" valign="top" width="123">
            <p><span style="font-family: 宋体">独立的系�l?/span></p>
            </td>
            <td style="border-right: black 1pt solid; padding-right: 0cm; border-top: black 1pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1pt solid; width: 90pt; padding-top: 0cm; border-bottom: black 1pt solid; height: 38.25pt" valign="top" width="120">
            <p><span style="font-family: 宋体">单个机器</span></p>
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            <td style="border-right: black 1.5pt solid; padding-right: 0cm; border-top: black 1pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1pt solid; width: 108pt; padding-top: 0cm; border-bottom: black 1pt solid; height: 38.25pt" valign="top" width="144">
            <p><span style="font-family: 宋体">向量数据</span></p>
            </td>
        </tr>
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            <td style="border-right: black 1pt solid; padding-right: 0cm; border-top: black 1pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1.5pt solid; width: 37.45pt; padding-top: 0cm; border-bottom: black 1pt solid; height: 49.5pt" valign="top" width="50">
            <p><span style="font-family: 宋体">�W�二�?/span></p>
            </td>
            <td style="border-right: black 1pt solid; padding-right: 0cm; border-top: black 1pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1pt solid; width: 66.25pt; padding-top: 0cm; border-bottom: black 1pt solid; height: 49.5pt" valign="top" width="88">
            <p><span style="font-family: 宋体">和数据库以及数据仓库集成</span></p>
            </td>
            <td style="border-right: black 1pt solid; padding-right: 0cm; border-top: black 1pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1pt solid; width: 66.9pt; padding-top: 0cm; border-bottom: black 1pt solid; height: 49.5pt" valign="top" width="89">
            <p><span style="font-family: 宋体">多个���法�Q�能够挖掘一�ơ不能放�q�内存的数据</span></p>
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            <td style="border-right: black 1pt solid; padding-right: 0cm; border-top: black 1pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1pt solid; width: 91.9pt; padding-top: 0cm; border-bottom: black 1pt solid; height: 49.5pt" valign="top" width="123">
            <p><span style="font-family: 宋体">数据���理�pȝ���Q�包括数据库和数据仓�?/span></p>
            </td>
            <td style="border-right: black 1pt solid; padding-right: 0cm; border-top: black 1pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1pt solid; width: 90pt; padding-top: 0cm; border-bottom: black 1pt solid; height: 49.5pt" valign="top" width="120">
            <p><span style="font-family: 宋体">局部区域的计算机集��?/span></p>
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            <td style="border-right: black 1.5pt solid; padding-right: 0cm; border-top: black 1pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1pt solid; width: 108pt; padding-top: 0cm; border-bottom: black 1pt solid; height: 49.5pt" valign="top" width="144">
            <p><span style="font-family: 宋体">有些�pȝ��支持对象、文本和�q�箋的媒体数�?/span></p>
            </td>
        </tr>
        <tr style="height: 38.25pt">
            <td style="border-right: black 1pt solid; padding-right: 0cm; border-top: black 1pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1.5pt solid; width: 37.45pt; padding-top: 0cm; border-bottom: black 1pt solid; height: 38.25pt" valign="top" width="50">
            <p><span style="font-family: 宋体">�W�三�?/span></p>
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            <td style="border-right: black 1pt solid; padding-right: 0cm; border-top: black 1pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1pt solid; width: 66.25pt; padding-top: 0cm; border-bottom: black 1pt solid; height: 38.25pt" valign="top" width="88">
            <p><span style="font-family: 宋体">和预�a�模型�pȝ��集成</span></p>
            </td>
            <td style="border-right: black 1pt solid; padding-right: 0cm; border-top: black 1pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1pt solid; width: 66.9pt; padding-top: 0cm; border-bottom: black 1pt solid; height: 38.25pt" valign="top" width="89">
            <p><span style="font-family: 宋体">多个���法</span></p>
            </td>
            <td style="border-right: black 1pt solid; padding-right: 0cm; border-top: black 1pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1pt solid; width: 91.9pt; padding-top: 0cm; border-bottom: black 1pt solid; height: 38.25pt" valign="top" width="123">
            <p><span style="font-family: 宋体">数据���理和预�a�模型�pȝ��</span></p>
            </td>
            <td style="border-right: black 1pt solid; padding-right: 0cm; border-top: black 1pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1pt solid; width: 90pt; padding-top: 0cm; border-bottom: black 1pt solid; height: 38.25pt" valign="top" width="120">
            <p>Internet/Extranet<span style="font-family: 宋体">�|�络计算</span></p>
            </td>
            <td style="border-right: black 1.5pt solid; padding-right: 0cm; border-top: black 1pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1pt solid; width: 108pt; padding-top: 0cm; border-bottom: black 1pt solid; height: 38.25pt" valign="top" width="144">
            <p><span style="font-family: 宋体">支持半结构化数据�?/span>Web<span style="font-family: 宋体">数据</span></p>
            </td>
        </tr>
        <tr style="height: 38.25pt">
            <td style="border-right: black 1pt solid; padding-right: 0cm; border-top: black 1pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1.5pt solid; width: 37.45pt; padding-top: 0cm; border-bottom: black 1.5pt solid; height: 38.25pt" valign="top" width="50">
            <p><span style="font-family: 宋体">�W�四�?/span></p>
            </td>
            <td style="border-right: black 1pt solid; padding-right: 0cm; border-top: black 1pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1pt solid; width: 66.25pt; padding-top: 0cm; border-bottom: black 1.5pt solid; height: 38.25pt" valign="top" width="88">
            <p><span style="font-family: 宋体">和移动数�?/span>/<span style="font-family: 宋体">各种计算数据联合</span></p>
            </td>
            <td style="border-right: black 1pt solid; padding-right: 0cm; border-top: black 1pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1pt solid; width: 66.9pt; padding-top: 0cm; border-bottom: black 1.5pt solid; height: 38.25pt" valign="top" width="89">
            <p><span style="font-family: 宋体">多个���法</span></p>
            </td>
            <td style="border-right: black 1pt solid; padding-right: 0cm; border-top: black 1pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1pt solid; width: 91.9pt; padding-top: 0cm; border-bottom: black 1.5pt solid; height: 38.25pt" valign="top" width="123">
            <p><span style="font-family: 宋体">数据���理、预�a�模型、移动系�l?/span></p>
            </td>
            <td style="border-right: black 1pt solid; padding-right: 0cm; border-top: black 1pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1pt solid; width: 90pt; padding-top: 0cm; border-bottom: black 1.5pt solid; height: 38.25pt" valign="top" width="120">
            <p><span style="font-family: 宋体">�U�d��和各�U�计���设�?/span></p>
            </td>
            <td style="border-right: black 1.5pt solid; padding-right: 0cm; border-top: black 1pt solid; padding-left: 0cm; padding-bottom: 0cm; border-left: black 1pt solid; width: 108pt; padding-top: 0cm; border-bottom: black 1.5pt solid; height: 38.25pt" valign="top" width="144">
            <p><span style="font-family: 宋体">普遍存在的计���模�?/span></p>
            </td>
        </tr>
    </tbody>
</table>
</p>
<h1><span style="font-family: 宋体">数据挖掘的分�c?/span></h1>
<p>1<span style="font-family: 宋体">、分�c�d��析：主要用于预测模型�Q�通过数据库中的某些数据得到另外的数据为目标。分�cȝ��法通过判断数据记录的属性与已知训练数据中风险程度的关系�l�出预言�l�果</span></p>
<p>2<span style="font-family: 宋体">、聚�c�d��析：聚类用于从数据集中找出相似的数据�q�组成不同的�l�。与前面的预���模型不同，聚类中没有明昄���目标变量作�ؓ数据的属性存在。聚�cȝ��法通过������数据判�?#8220;隐藏属�?#8221;</span></p>
<p>3<span style="font-family: 宋体">、关联规则：目的在于生成部分数据的概要，��L��数据子集间的兌���关系或者一些数据与其数据之间的�z����关系</span></p>
<p>4<span style="font-family: 宋体">、�h工神�l�网�l?/span></p>
<p>5<span style="font-family: 宋体">、遗传算�?/span></p>
<p>6<span style="font-family: 宋体">、模�p�集和模�p�逻辑</span></p>
<p>7<span style="font-family: 宋体">、可视化�Ҏ(gu��)��</span></p>
<h1><span style="font-family: 宋体">数据挖掘的步�?/span></h1>
<p>1<span style="font-family: 宋体">、问题定义：明确实际工作�Ҏ(gu��)��据挖掘的需求、通过对各�U�学�?f��n)算法的��?gu��)��而确定可用的学习(f��n)���法</span></p>
<p>2<span style="font-family: 宋体">、数据收集和预处理：数据准备、数据集成、数据清�z�、数据变换、数据简�?/span></p>
<p>3<span style="font-family: 宋体">、数据挖掘算法执行：���定挖掘��d��后，���p��军_��使用什么样的算法。选择实现���法有两个考虑因素�Q�一是不同的数据有不同的特点�Q�因此需要与之相关的���法来挖掘；二是用户或实际运行系�l�的要求</span></p>
<p>4<span style="font-family: 宋体">、结果的解释和评伎ͼ�数据挖掘阶段发现出来的模�?/span>,<span style="font-family: 宋体">�l�过评估�Q�可能存在冗余和无关的模式，需要将其剔除。也有可能模式不满��用户要求�Q�这旉���要整个过�E�回退到前一阶段</span></p>
<h1><span style="font-family: 宋体">数据挖掘�?/span>OLAP</h1>
<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <span style="font-family: 宋体">数据挖掘�?/span>OLAP<span style="font-family: 宋体">都属于分析型工具�Q�数据挖掘是一�U�挖掘型工具�Q�它能自动地发现隐藏在数据中的模式，作出预测性分析的分析工具�Q�它的分析过�E�是自动的。用户不必提出确切的问题。数据挖掘所处的位置较深</span></p>
<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; OLAP<span style="font-family: 宋体">是自上而下、不断深入的分析工具�Q��ƈ以可视化的方式呈现给用户�?/span>OLAP<span style="font-family: 宋体">更多依靠用户输入问题和假设，但用户先入�ؓ�ȝ��局限性可能会限制问题和假讄���范围�Q�从而媄响最�l�的�l�论�?/span>OLAP<span style="font-family: 宋体">位于较浅的层��?/span></p>
<p>&nbsp;&nbsp;&nbsp; <span style="font-family: 宋体">���管数据挖掘�?/span>OLAP<span style="font-family: 宋体">存在着上面的差异，但二者相辅相�?br />
<br />
<br />
Open View 决策分析�q�_��会在2010-2011�q�推�?/span></p><img src ="http://www.aygfsteel.com/pengminghua/aggbug/293613.html" width = "1" height = "1" /><br><br><div align=right><a style="text-decoration:none;" href="http://www.aygfsteel.com/pengminghua/" target="_blank">彭明�?/a> 2009-09-02 16:26 <a href="http://www.aygfsteel.com/pengminghua/archive/2009/09/02/293613.html#Feedback" target="_blank" style="text-decoration:none;">发表评论</a></div>]]></description></item></channel></rss>                                                  <footer>
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