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Description: 本书包含了许多Ajax技术的设计模式。例如：你应该如何分割数据以便于分配呢？答案是，采用内容分块模式（Content Chunking Pattern）；如何有效地维护状态或至少是维护痕迹呢？答案是，采用持久通信模式（Persistent Communications Pattern）；如何让用户对所有潜在的数据了如指掌呢？答案是，采用无限数据模式（Infinite Data Pattern）。通过书中呈现的九种模式，作者几乎发掘了所有的Ajax理论，这些知识对你将来编写应用程序时制定策略有重大的帮助。每种模式都有相应的章节对其进行论述，每章均以模式的设计意图为开头，然后介绍使用该模式的动机，并列举一系列使用该模式开发的应用程序和与该模式相关联的设计模式。接着，以解决实际问题的方式诠释该设计模式的架构。最后，执行程序通过代码及用户与各种网页的互动形式展现。在章末，还有对该章精华内容的总结回顾。
-the book contains many technical Ajax design patterns. For example : How should you segmentation data in order to be distributed? The answer is that the use of content block mode (Content Chunking Pattern); How to effectively maintain state, or at least preserve traces? The answer is that, durable communication mode (Persistent Communications Pattern ); How to let all potential users of the data so familiar? The answer is that the use of unlimited data model (Infinite Data Pattern). Through the book showing the nine models, the authors explore almost all of the Ajax theory, knowledge of your future application procedures for the preparation of the development strategy will be of immense help. Each model has a corresponding section of its expositions, each chapter are intended to model the
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Size: 11560735 |
Author: zoujian |
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Description: 这个算法基于数据挖掘功能实现发掘数据的最优途径-Based on the data mining algorithms to achieve functional data to explore the optimal way
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Size: 2207 |
Author: hanzhang |
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Description: 空间数据发掘与知识发现，该书是从空间数据库中提取隐含的用户感兴趣的空间和非空间的模式和普遍特征的过程。
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Size: 4855921 |
Author: 夏锦 |
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Description: 客服程序和普通的客服程序一样，是在网站上潜入代码，客户访问时无需安装任何插件，即可实现在线对话和咨询功能.所有功能如下
1,网页对话 网站访客无需下载和安装任何插件及客户端软件，只需轻轻点击，即可与网站客服进行实时在线交流。
2,主动对话 网站客服可以向网站访客主动进行对话，其中包括发出对话邀请和直接对话两种方式，使客服人员有主动发掘客户的机会。
3,常用语预设 网站客服可以根据自己公司的特定需求预先设定常见问题应答内容，以节省响应时间。
4,对话转接 网站客服之间可灵活转接对话,实现类似集团电话的效果，以提高接待效率
5,访客来源追踪 网站客服可实时查看网站当前访客数量、来源位置及所在页面。
6,流量统计 网站客服可实时查看网站的各种流量统计信息。
7,文件传送 在对话过程中，后台客服人员和访客可以相互传送文件。8,发送图片 后台客服人员可以直接进行图片发送，
9,历史记录查询 网站客服可在线查询历史对话纪录，支持各种复杂条件的高级查询。
10,数据分析 系统可对访客信息进行归类、整理和分析。
11,客服分组在访客端相关页面嵌入相关分组访客在不同的页面访问时就有相对应的客服服务。如此贴心的设计在提高客服的工作效率的同时，当然也会提高访客的满意。
后台帐号:admin
密码:test
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Size: 7701111 |
Author: icnhk@yeah.net |
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Description: 本书以机器学习与计算统计为主题背景，专门讲述如何挖掘和分析Web上的数据和资源，如何分析用户体验、市场营销、个人品味等诸多信息，并得出有用的结论，通过复杂的算法来从Web网站获取、收集并分析用户的数据和反馈信息，以便创造新的用户价值和商业价值。全书内容翔实，包括协作过滤技术（实现关联产品推荐功能）、集群数据分析（在大规模数据集中发掘相似的数据子集）、搜索引擎核心技术（爬虫、索引、查询引擎、PageRank算法等）、搜索海量信息并进行分析统计得出结论的优化算法、贝叶斯过滤技术（垃圾邮件过滤、文本过滤）、用决策树技术实现预测和决策建模功能、社交网络的信息匹配技术、机器学习和人工智能应用等。 本书是Web开发者、架构师、应用工程师等的绝佳选择。
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Size: 28521030 |
Author: willker |
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Description: 本书包含了许多Ajax技术的设计模式。例如：你应该如何分割数据以便于分配呢？答案是，采用内容分块模式（Content Chunking Pattern）；如何有效地维护状态或至少是维护痕迹呢？答案是，采用持久通信模式（Persistent Communications Pattern）；如何让用户对所有潜在的数据了如指掌呢？答案是，采用无限数据模式（Infinite Data Pattern）。通过书中呈现的九种模式，作者几乎发掘了所有的Ajax理论，这些知识对你将来编写应用程序时制定策略有重大的帮助。每种模式都有相应的章节对其进行论述，每章均以模式的设计意图为开头，然后介绍使用该模式的动机，并列举一系列使用该模式开发的应用程序和与该模式相关联的设计模式。接着，以解决实际问题的方式诠释该设计模式的架构。最后，执行程序通过代码及用户与各种网页的互动形式展现。在章末，还有对该章精华内容的总结回顾。
-the book contains many technical Ajax design patterns. For example : How should you segmentation data in order to be distributed? The answer is that the use of content block mode (Content Chunking Pattern); How to effectively maintain state, or at least preserve traces? The answer is that, durable communication mode (Persistent Communications Pattern ); How to let all potential users of the data so familiar? The answer is that the use of unlimited data model (Infinite Data Pattern). Through the book showing the nine models, the authors explore almost all of the Ajax theory, knowledge of your future application procedures for the preparation of the development strategy will be of immense help. Each model has a corresponding section of its expositions, each chapter are intended to model the
Platform: |
Size: 11560960 |
Author: zoujian |
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Description: 这个算法基于数据挖掘功能实现发掘数据的最优途径-Based on the data mining algorithms to achieve functional data to explore the optimal way
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Size: 2048 |
Author: hanzhang |
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Description: 空间数据发掘与知识发现，该书是从空间数据库中提取隐含的用户感兴趣的空间和非空间的模式和普遍特征的过程。-Connaught clean bowl beat迵ellipsoid Sui-kai-kai妎ㄛ珋clams抎Did Jie Zhi Connaught笢feed bowl beat pacing ?笐Yi cavity using cavity ?誧Vision倓Connaught Connaught quasi-Jie Rui Jie Yao cavity drop-Core ? Blastophagus涽manacle Tetsuya vena most ﹝
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Size: 4855808 |
Author: 夏锦 |
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Description: 本书以机器学习与计算统计为主题背景，专门讲述如何挖掘和分析Web上的数据和资源，如何分析用户体验、市场营销、个人品味等诸多信息，并得出有用的结论，通过复杂的算法来从Web网站获取、收集并分析用户的数据和反馈信息，以便创造新的用户价值和商业价值。全书内容翔实，包括协作过滤技术（实现关联产品推荐功能）、集群数据分析（在大规模数据集中发掘相似的数据子集）、搜索引擎核心技术（爬虫、索引、查询引擎、PageRank算法等）、搜索海量信息并进行分析统计得出结论的优化算法、贝叶斯过滤技术（垃圾邮件过滤、文本过滤）、用决策树技术实现预测和决策建模功能、社交网络的信息匹配技术、机器学习和人工智能应用等。-The book and calculation of statistical machine learning as the theme background, specifically on how to dig and analyze data on the Web and resources, how to analyze the user experience, marketing, personal tastes and many other information, and draw useful conclusions, through a complex algorithm from the Web site to access, collect and analyze user data and feedback information in order to create a new user value and business value. Informative book, including the collaborative filtering technology (to achieve related product recommendation function), the cluster data analysis (in large-scale data set to explore a subset of similar data), search engine core technology (reptiles, index, query engine, PageRank algorithm, etc.), Search for massive information and statistical analysis concluded that the optimization algorithms, Bayesian filtering technology (spam filtering, text filtering), with technology forecasting and decision tree modeling, social network information matching techn
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Size: 2633728 |
Author: 陈磊 |
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Description: 本书以机器学习与计算统计为主题背景，专门讲述如何挖掘和分析Web上的数据和资源，如何分析用户体验、市场营销、个人品味等诸多信息，并得出有用的结论，通过复杂的算法来从Web网站获取、收集并分析用户的数据和反馈信息，以便创造新的用户价值和商业价值。全书内容翔实，包括协作过滤技术（实现关联产品推荐功能）、集群数据分析（在大规模数据集中发掘相似的数据子集）、搜索引擎核心技术（爬虫、索引、查询引擎、PageRank算法等）、搜索海量信息并进行分析统计得出结论的优化算法、贝叶斯过滤技术（垃圾邮件过滤、文本过滤）、用决策树技术实现预测和决策建模功能、社交网络的信息匹配技术、机器学习和人工智能应用等。-This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you ve found it. Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general--all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application.
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Author: Wesley |
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Description: Bushound 6.0.1 破解版！
我自己试用过，确实是V6的破解版！
这个版本不会再引起拔插USB设备的时候死机了！
并且针对某些USB设备的数据拦截的分工更加明确了。（比如USB键盘，可以精准的看到HID设备的数据以及转换成USB键盘设备的数据）。
当然其他的新功能就有待大家的发掘了！-Bushound 6.0.1 crack version! I tried, the hack really is V6! This version will not cause crash when plugged a USB device! And for some USB devices to intercept the data more clearly the division of labor. (Such as USB keyboard, you can accurately see the HID devices into a USB keyboard data and equipment data.) Of course, other new features to be everyone' s explore it!
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Size: 896000 |
Author: Envoy |
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Description: 本书以机器学习与计算统计为主题背景，专门讲述如何挖掘和分析Web上的数据和资源，如何分析用户体验、市场营销、个人品味等诸多信息，并得出有用的结论，通过复杂的算法来从Web网站获取、收集并分析用户的数据和反馈信息，以便创造新的用户价值和商业价值。全书内容翔实，包括协作过滤技术（实现关联产品推荐功能）、集群数据分析（在大规模数据集中发掘相似的数据子集）、搜索引擎核心技术（爬虫、索引、查询引擎、PageRank算法等）、搜索海量信息并进行分析统计得出结论的优化算法、贝叶斯过滤技术（垃圾邮件过滤、文本过滤）、用决策树技术实现预测和决策建模功能、社交网络的信息匹配技术、机器学习和人工智能应用等。 是Web开发者、架构师、应用工程师等的绝佳选择。-Book and calculation of statistical machine learning as the theme background, specifically on how to mine and analyze data and resources on the Web, how to analyze the user experience, marketing, personal tastes, and many other information, and draw useful conclusions, through complex algorithms Obtained from the Web site to collect and analyze data and user feedback in order to create new customer value and business value. Informative book, including collaborative filtering technology (associated with product recommendation capabilities to achieve), the cluster data analysis (in large-scale data set to explore a subset of similar data), the core search engine technology (crawler, index, query engine, PageRank algorithm, etc.) Massive search for statistical information and analysis concluded that the optimization algorithms, Bayesian filtering technology (spam filtering, text filtering), using decision tree technology for forecasting and decision modeling, social network information ma
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Author: 也席 |
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Description: 神经网络中深度学习理论的求解算法，发掘数据中的结构信息-deep learning to discover the structure hidden in the data
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Author: wangchangpeng |
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Description: 《集体智慧编程》(programming collective intelligence building smart web 2.0 applications)以机器学习与计算统计为主题背景，专门讲述如何挖掘和分析web上的数据和资源，如何分析用户体验、市场营销、个人品味等诸多信息，并得出有用的结论，通过复杂的算法来从web网站获取、收集并分析用户的数据和反馈信息，以便创造新的用户价值和商业价值。全书内容翔实，包括协作过滤技术（实现关联产品推荐功能）、集群数据分析（在大规模数据集中发掘相似的数据子集）、搜索引擎核心技术（爬虫、索引、查询引擎、pagerank算法等）、搜索海量信息并进行分析统计得出结论的优化算法、贝叶斯过滤技术（垃圾邮件过滤、文本过滤）、用决策树技术实现预测和决策建模功能、社交网络的信息匹配技术、机器学习和人工智能应用等。-The collective wisdom of programming " (programming collective intelligence building smart web 2.0 applications) Machine Learning and Computational Statistics background data and resources devoted to mining and analysis on the web, how to analyze the user experience, marketing, personal tastes, and many other information and draw useful conclusions, through a complex algorithm obtained from the web site, the collection and analysis of user data and feedback information, in order to create a new user value and commercial value. The book is informative, including collaborative filtering technology (associated product recommendation function), cluster analysis (in large-scale data sets to explore similar data subset), the core technology of the search engine (reptiles, index, query engine, pagerank algorithm), search massive amounts of information and statistical analysis to draw conclusions optimization algorithm, Bayesian filtering technology (spam filtering, text filtering), decisi
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Author: chenlei |
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Description: StartBBS（起点开源社区系统）是一个基于PHP+MySQL开发的新型社区系统，她轻量小巧, 简单易用，强大高效的开源论坛系统。又简称”SB（烧饼）”。
采用MVC框架开发，易于二次开发扩展，程序与模板文件分开，大家可以很方便地建立自己的模板，前台UI采用最流行的Twitter Bootstrap和Jquery，最大可能的发掘用户体验，增强用户对论坛的粘性和好感，设计上采用了流式响应式设计，无论你是使用电脑还是平板电脑和手机，都能很好地适应屏幕。无需要再开发相应的模板。
整体架构从缓存技术、数据库设计、代码优化等多个角度入手进行优化，支持百万级数据，开启缓存和gzip后,打开的网站速度如同静态页一样流畅.
安装包大小仅几百K, 比一般的blog还要小巧轻便, 从起点开始，给“臃肿”两字说拜拜吧！尽管目前还不完善，但我会尽心地把它开发下去，并保持更新。希望大家能互相推荐一下，尽可能地给我留一个链接。
StartBBS开源论坛-StartBBS ( point of the open source community system ) is a development of the PHP+MySQL based model of community system, she lightweight compact, easy to use, powerful and highly efficient open-source forum system. Also referred to as " SB ( cake ) ".
Using MVC development framework, is easy to be two times the development of expanded, procedures and template files separately, we can easily build their own templates, downstage UI is the most popular Twitter Bootstrap and Jquery, the maximum possible to identify user experience, enhance the user forum on the viscosity and goodwill, designed by a flow responsive design, whether you are using a computer or a flat computer and mobile phone, can be well adapted to the screen. No need to develop a corresponding template.
The overall architecture from the cache technology, database design, code optimization and many angles to carry on the optimization, support millions of data, open the cache and gzip, open the site speed as a static page
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Author: sdqpie |
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Description: 主成分分析（Principal Copmponent Analysis，简称PCA）是一种常用的机遇变量协方差矩阵对信息进行处理、压缩和提取的有效方法。主成分分析，这种方法可以有效的找出数据中最“主要”的元素和结构，去除噪音和冗余，将原有的复杂数据降维，能够发掘出隐藏在复杂数据背后的简单结构。-PCA (Principal Copmponent Analysis, abbreviated PCA) is a commonly used covariance matrix Opportunity information processing, compressing and extracting an effective manner. Principal component analysis, this method can effectively identify the data most " primary" elements and structures, removing noise and redundancy, the original complex data dimensionality reduction, to discover hidden behind the simple and complex data structures.
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Size: 1024 |
Author: 李莲英 |
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Description: 实现qt环境下的串口读取数据，并进行数据的解析，发掘，获取有用的数据，并显示。-QT environment to achieve the serial read data, and data analysis, to explore, to obtain useful data, and display.
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Size: 662528 |
Author: Arthur |
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Description: 智能推荐系统属于数据发掘与机器学习相交织的学科。本代码是智能推荐系统中最基础的UCF，ICF和RSVD算法的实现。-Intelligent recommendation system is a data mining and machine learning intertwined disciplines. The code is the most intelligent recommendation system based UCF, ICF and RSVD algorithm.
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Size: 2910208 |
Author: 郭先生 |
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Description: 这个算法基于数据挖掘功能实现发掘数据的最优途径()
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Size: 1024 |
Author: Hrrley |
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