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[商业智能] Managing SOA and Web Services for Success: How to Contain Cost and Risk 点击:0
 You've received the call. Your brand-new service-oriented architecture (SOA) applications and Web services are slow, or down. The partners can't get through. The employees are complaining. The CEO is on the line and wants to know when you'll have th(2007-04-07)
[商业智能] Industry Implementations 点击:0
 Yorkshire Building Society Group Selects QlikTech for Faster Reporting Capabilities QlikTech, a provider of in-memory reporting and analysis solutions, announced that Yorkshire Building Society Group (YBS) has implemented QlikView, QlikTech's busine(2007-04-07)
[商业智能] Burson-Marsteller Creates Business Intelligence Tool Designed To Help Clients Tu 点击:0
 Burson-Marsteller today announced the creation of B-M Business Intelligence , a new information gathering, tracking and analysis tool designed to help clients translate raw data into practical business solutions. Business Intelligence offerings incl(2007-04-05)
[机器学习] 通用类和函数 点击:0
 机器学习库(MLL)是一些用于分类、回归和数据聚类的类和函数。 大部分分类和回归算法是用C++类来实现。尽管这些算法有一些不同的特性(像处理missing measurements的能力,或者categorical input variables等),这些类之间有一些相同之处。这些相同之处在类 CvStatMo(2007-04-04)
[机器学习] Normal Bayes 分类器 点击:0
 This is simple classification model that assumes that feature vectors from each class are normally distributed (though, not necessarily independently distributed), so the whole data distribution function is assumed to be a Gaussian mixture, one comp(2007-04-04)
[机器学习] K近邻算法 点击:0
 这个算法首先贮藏所有的训练样本,然後通过分析(包括选举,计算加权和等方式)一个新样本周围K个最近邻以给出该样本的相应值。这种方法有时候被称作基于样本的学习,即为了预测,我们对于给定的输入搜索最近的已知其相应的特征向量。 CvKNearest K近邻类 class CvKNea(2007-04-04)
[机器学习] 支持向量机算法及其代码实现 点击:0
 支持向量机(SVM),起初由vapnik提出时,是作为寻求最优(在一定程度上)二分类器的一种技术。後来它又被拓展到回归和聚类应用。SVM是一种基于核函数的方法,它通过某些核函数把特征向量映射到高维空间,然後建立一个线性判别函数(或者说是一个高维空间中的能够区分(2007-04-04)
[机器学习] Decision Trees算法及其代码实现 点击:0
 The ML classes discussed in this section implement Classification And Regression Tree algorithms, which is described in [Brieman84]. The class CvDTree represents a single decision tree that may be used alone, or as a base class in tree ensembles (se(2007-04-04)
[机器学习] Boosting算法及其代码实现 点击:0
 一般的机器学习方法可能就是监督学习方法:训练数据由输入和期望的输出组成,然後对非训练数据进行预测输出,也就是找出输入x与输出y之间的函数关系F: y = F(x)。根据输出的精确特性又可以分为分类和回归。 Boosting 是个非常强大的学习方法, 它也是一个监督的分类学习(2007-04-04)
[搜索引擎技术与新闻] Google Hires "Analytics Evangelist" 点击:0
 Web analytics consultant Avinash Kaushik announced today on his Occam's Razor blog that he's leaving his position as director of Web research analytics at Intuit to strike out on his own as an independent consultant. His first gig is as an analytics(2007-03-27)
[搜索引擎技术与新闻] RFPs are evil (Part 2) 点击:0
 Last week, I discussed why the practice of using RFPs to select SEM agencies is a wrongful approach that practically guarantees failure. This week, I will propose a better way to select SEM agencies that is more likely to result in a positive outcom(2007-03-27)
[搜索引擎技术与新闻] LeadStream cracks local search code 点击:0
 LeadStream has launched a new kind of service for small to midsize businesses and online directory publishers who use vertical-keyword analysis, testing and tracking methodologies as well as segment-specific search engine marketing tools and product(2007-03-27)
[搜索引擎技术与新闻] Google leads comScore search engine rankings 点击:0
 Google sites made up 48.1 percent of the U.S. search market in February, up 0.6 share points from the month before, maintaining its first place ranking, according to digital media measurer comScore. In second place was Yahoo, which captured 28.1 per(2007-03-27)
[搜索引擎技术与新闻] Google, affiliate networks can and will co-exist: Zanox’s Kamin 点击:0
 Since Google announced the beta test of pay-per-action advertising which allows advertisers to pay only when predetermined actions are completed on their Web sites theres been a lot of talk on how the PPA model might adversely affect the affiliate n(2007-03-27)
[搜索引擎技术与新闻] Second Search Engine Marketing Scholarship Contest Launches 点击:0
 Its back! After the phenomenal success of last years contest, the Marketing Pilgrim SEM Scholarship Contest is back and this time its bigger, better and badder than before! Not only will the winner of the contest have a chance to kick-start their re(2007-03-27)
[搜索引擎技术与新闻] Google辉煌的背后,我们得到什么投资取向 点击:0
 硅谷是全世界高科技神话的源头,而斯坦福却是硅谷高科技神话的源头。无论是HP、Sun、Cisco还是网络时代的雅虎和Google,都无一例外是斯坦福的产物。 Google的创业故事简直就是Yahoo的翻版:与杨致远和大卫费罗(David Filo)搭档创办Yahoo一样,Google也是拉里佩奇(Larry(2007-03-27)
[搜索引擎技术与新闻] 搜索引擎发展综述 点击:0
 摘要 :本文简述了搜索引擎的起源和发展,介绍了国内外的研究现状,对其分类、性能评测、关键技术等方面做了一定的讨论,在此基础上对其发展趋势作了大胆的预测。 关键词 :搜索引擎;Web挖掘;信息检索 Internet 自诞生以来不断成长,其内容不断丰富,整个网络逐渐堆积(2007-03-27)
[机器学习] Programming Languages for Machine Learning Implementations 点击:0
 Machine learning algorithms have a much better chance of being widely adopted if they are implemented in some easy-to-use code. There are several important concerns associated with machine learning which stress programming languages on the ease-of-u(2007-03-26)
[商业智能] 2006-2007年中国商业智能发展报告 点击:0
 概述 商业智能是什么?简而言之,它是能够帮助用户对自身业务经营做出正确明智决策的工具。如何利用企业积累的数据增进对业务情况的了解,帮助我们在业务管理及发展上作出及时、正确的判断,然后采用明智的行动--这就是商业智能。目前,商业智能产品及解决方案大致可分为数(2007-03-26)
[商业智能] Teradata Named Best Global Data Warehouse-Business Intelligence Appliance Vendor 点击:0
 DAYTON, Ohio Teradata, a division ofNCR Corporation(NYSE: NCR), announced that Teradata was named the best global data warehouse-business intelligence appliance vendor by readers of Intelligent Enterprise Magazine, a CMP Media publication. Readers a(2007-03-26)
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