Description: 无禁手的五子棋带人工智能，采用alpha-beta剪枝的算法，可以以console和web applet和可执行程序的方式运行-no cut-hand with the 331 artificial intelligence, using alpha-beta pruning algorithm can a console and a web applet and executable running the Platform: |
Size: 463075 |
Author:程序员 |
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Description: 日本国立情报研究所的有关java的web设计的整个过程，要件定义，分析，编写及测试应用，相当好的学习资料-Japan's National Institute for the intelligence of the java web design of the whole process, elements of the definition, analysis, prepare and test applications, a very good learning materials Platform: |
Size: 1642245 |
Author:林方 |
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Description: A complete business intelligence platform that includes reporting, analysis (OLAP), dashboards, data mining and data integration (ETL). Use it as a full suite or as individual components that are accessible via web services. Ranked #1 in open source BI. -A complete business intelligence platfor m that includes reporting, analysis (OLAP), dashboards. data mining and data integration (ETL). Use it a 's a full suite or as individual components that a 're accessible via web services. Ranked # 1 in ope n source BI. Platform: |
Size: 756421 |
Author:lyb |
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Description: 一个关于人工智能专家系统的硕士论文，研究基于web的远程系统实现-an artificial intelligence expert system for the master's thesis, based on the web-based telemedicine systems Platform: |
Size: 106014 |
Author:kiwi |
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Description: 无禁手的五子棋带人工智能，采用alpha-beta剪枝的算法，可以以console和web applet和可执行程序的方式运行-no cut-hand with the 331 artificial intelligence, using alpha-beta pruning algorithm can a console and a web applet and executable running the Platform: |
Size: 462848 |
Author:程序员 |
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Description: 日本国立情报研究所的有关java的web设计的整个过程，要件定义，分析，编写及测试应用，相当好的学习资料-Japan's National Institute for the intelligence of the java web design of the whole process, elements of the definition, analysis, prepare and test applications, a very good learning materials Platform: |
Size: 1641472 |
Author:林方 |
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Description: A complete business intelligence platform that includes reporting, analysis (OLAP), dashboards, data mining and data integration (ETL). Use it as a full suite or as individual components that are accessible via web services. Ranked #1 in open source BI. -A complete business intelligence platfor m that includes reporting, analysis (OLAP), dashboards. data mining and data integration (ETL). Use it a 's a full suite or as individual components that a 're accessible via web services. Ranked# 1 in ope n source BI. Platform: |
Size: 755712 |
Author:lyb |
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Description: 基于大规模日志分析的网络搜索引擎用户行为研究，由清华大学人工智能实验室连同搜狐旗下搜索引擎搜狗进行的对于一个月内搜索引擎5000万次用户点击行为分析的报告，有一定参考价值。-Based on large-scale log analysis of Web search engine user behavior study, by the Artificial Intelligence Laboratory, Tsinghua University, together with Sohu Platform: |
Size: 175104 |
Author:kingbaser |
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Description: Web数据挖掘作为数据挖掘技术和Internet应用研究相结合的研究领域，涉及机器学习、数理统计、数据库、神经网络、模式识别、粗糙集、模糊数学等人工智能相关技术，目前已经发展成为一个受到社会各界关注的研究热点。-Web Data Mining as a data mining technology and Internet application that combines research involving machine learning, mathematical statistics, databases, neural networks, pattern recognition, rough sets, fuzzy mathematics, such as artificial intelligence-related technologies, has now been developed into a society concern of the hot spots from all walks of life. Platform: |
Size: 109568 |
Author:梁旭 |
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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 Platform: |
Size: 2633728 |
Author:陈磊 |
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Description: 搜索引擎及Web智能的经典书籍，很多该方向导师推荐的信息检索必读书目。-Classic book on search and web intelligence, which is recommended by a lot of Prof. on information intelligence. Platform: |
Size: 5803008 |
Author:李若冰 |
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Description: 用HTML和JavaScript编写的免费网页智力策略小游戏。-Written in HTML and JavaScript using free web intelligence strategy game. Platform: |
Size: 7168 |
Author:oujj |
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Description: Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? 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. Platform: |
Size: 2630656 |
Author:2678419301 |
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Description: Web数据挖掘(世界著名计算机教材精选),作者BingLiu刘冰
刘兵(BingLiu)，伊利诺伊大学芝加哥分校(UIC)教授，他在爱丁堡大学获得人工智能博士学位。刘兵教授是Web挖掘研究领域的国际知名专家，在Web内容挖掘、互联网观点挖掘、数据挖掘等领域有非常高的造诣，他先后在国际著名学术期刊与重要国际学术会议(如KDD、WWW、AAAI、SIGIR、ICML、TKDE等)上发布关于数据挖掘、Web挖掘和文本挖掘论文一百多篇。刘兵教授担任过多个国际期刊的编辑，也是多个国际学术会议(如WWW、KDD与AAAI等)的程序委员会委员。
本书旨在阐述web数据挖掘的概念及其核心算法，使读者获得相对完整的关于web数据挖掘的算法和技术知识。本书不仅介绍了搜索、页面爬取和资源探索以及链接分析等传统的Web挖掘主题，而且还介绍了结构化数据的抽取、信息整合、观点挖掘和Web使用挖掘等内容，这些内容在已有书籍中没有提及过，但它们在Web数据挖掘中却占有非常重要的地位。全书分为两大部分：第一部分包括第2章到第5章，介绍数据挖掘的基础；第二部分包括第6章到第12章，介绍Web相关的挖掘任务。
-Web data mining (world-renowned computer materials selection), the authors BingLiu Liu Bing
Liu Bing (BingLiu), University of Illinois at Chicago (UIC) professor, Ph.D. in Artificial Intelligence at Edinburgh University. Professor Liu Bing is the field of Web mining research internationally renowned expert in Web content mining, Internet, view mining, data mining and other areas have very high attainments, he worked in internationally renowned academic journals and major international conferences (such as KDD, WWW, AAAI, SIGIR, ICML, TKDE, etc.) on the release of data mining, Web mining and text mining papers more than a hundred articles. Professor Liu Bing served as editor of several international journals, but also a number of international conferences (such as WWW, KDD and AAAI, etc.) of the Program Committee.
This book seeks to explain the concept and web data mining of the core algorithm, so that readers gain a relatively complete information on web data mining algorithms Platform: |
Size: 3355648 |
Author:陈东 |
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Description: This my thought of implimating or introduce a new way of hacking. This comes a result that now may people are now aware of the very intelligence hacking system which is fishing so here I introduced a new way of fishing which is not easily identified because to track it you have to now almost every websites full address s because this can be used to fish and kind of website because you just use the similler address then the original. PLEASE NOTE THAT THIS CAN BE DONE OR BE MASTERED BY THOSE WHO HAVE A VB.NET KNOWLEDGE AND ALSO NOTE THAT YOU CAN ONLY HACK OR FISH BY THIS WAY SIMILLER TO THE WELL KNOWN FISHING SCAM WHICH IS THAT YOU NEED TO SEND YOUR TARGETS THE FULL ADDRESS OF YOUR CLONE SITE OR THAT SITE WHICH WILL FISH OR HACK THAT PERSONS INFORMATION. I CREATED THIS TO HELP IN THE ADDRESS PART BECAUSE THAT THE MOST IMPORTANT PART FOR THIS SCAM. HOPE YOU FIND THIS USEFUL.-This is my thought of implimating or introduce a new way of hacking. This comes as a result that now may people are now aware of the very intelligence hacking system which is fishing so here I introduced a new way of fishing which is not easily identified because to track it you have to now almost every websites full address s because this can be used to fish and kind of website because you just use the similler address then the original. PLEASE NOTE THAT THIS CAN BE DONE OR BE MASTERED BY THOSE WHO HAVE A VB.NET KNOWLEDGE AND ALSO NOTE THAT YOU CAN ONLY HACK OR FISH BY THIS WAY SIMILLER TO THE WELL KNOWN FISHING SCAM WHICH IS THAT YOU NEED TO SEND YOUR TARGETS THE FULL ADDRESS OF YOUR CLONE SITE OR THAT SITE WHICH WILL FISH OR HACK THAT PERSONS INFORMATION. I CREATED THIS TO HELP IN THE ADDRESS PART BECAUSE THAT THE MOST IMPORTANT PART FOR THIS SCAM. HOPE YOU FIND THIS USEFUL. Platform: |
Size: 15360 |
Author:Mlungisi |
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Description: The World Wide Web has evolved in less than two decades as the major source of data and information for
all domains. Web has become today not only an accessible and searchable information source but also one of the most
important communication channels, almost a virtual society. Web mining is a challenging activity that aims to discover
new, relevant and reliable information and knowledge by investigating the web structure, its content and its usage.
Though the web mining process is similar to data mining, the techniques, algorithms and methodologies used to mine
the web encompass those specific to data mining, mainly because the web has a great amount of unstructured data and
the changes are frequent and rapid. This paper is structured into two sections. The first one briefly discusses the
different web mining tasks and the second one is focusing on advanced artificial intelligence (AI) methods for
information retrieval and web search, link analysis, opinion mining and web usage mining.,The World Wide Web has evolved in less than two decades as the major source of data and information for
all domains. Web has become today not only an accessible and searchable information source but also one of the most
important communication channels, almost a virtual society. Web mining is a challenging activity that aims to discover
new, relevant and reliable information and knowledge by investigating the web structure, its content and its usage.
Though the web mining process is similar to data mining, the techniques, algorithms and methodologies used to mine
the web encompass those specific to data mining, mainly because the web has a great amount of unstructured data and
the changes are frequent and rapid. This paper is structured into two sections. The first one briefly discusses the
different web mining tasks and the second one is focusing on advanced artificial intelligence (AI) methods for
information retrieval and web search, link analysis, opinion mining and web usage mining. Platform: |
Size: 69632 |
Author:khan |
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Description: 《集体智慧编程》由美国计算机专家西格兰编著，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。-" Programming Collective Intelligence" by American computer experts Xige Lan compiled to machine learning and statistics are calculated 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 to obtain from the Web site, collect and analyze data and user feedback information in order to create a new user value and commercial value. Platform: |
Size: 2469888 |
Author:程龙义 |
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Description: 集体编程智慧电子版（英文版）
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。-Collective Programming Wisdom Electronic Edition (English Version)
The book focuses on machine learning and computational statistics. It focuses on mining and analyzing data and resources on the Web, analyzing user experiences, marketing, personal tastes, and other useful information. It uses sophisticated algorithms To collect, analyze and analyze user data and feedback the Web site in order to create new user value and business value. The book is informative, including collaborative filtering technology (to achieve associated product recommendation function), cluster data analysis (in a large-scale data set to explore similar data subset), search engine core technology (crawler, indexing, query engine, PageRank algorithm) Bayesian filtering technology (spam filtering, text filtering), decision tree technology to achieve prediction and decision-making modeling, social networking information matching technology, machine learning, and so on. Artificial intelligence applications. Platform: |
Size: 2630656 |
Author:mai |
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Description: 基于jsp+servlet+mysql实现了人工智能中简易的一个动物识别专家系统。(A simple animal recognition expert system in artificial intelligence is implemented based on jsp+servlet+mysql.) Platform: |
Size: 99328 |
Author:簟纹灯影
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Search - web intelligence