搜索资源列表
20010000-Web Usage Mining
- 主要关于web使用挖掘的介绍，非常不错的文章。-mainly on the use of web mining, a very good article.
基于Web链接挖掘和内容相关性分析的智能检索
- 一个基于Web 链接挖掘和内容相关性分析的智能信息检索系统-links to a Web-based mining and content analysis of the Intelligent Information Retrieval System
dataminer_c++
- 用于数据挖掘，根据日志文件的格式把web日志导入到数据库中，-for data mining, according to the log file format on the web log into the database,
PrefixSpan-algorithm
- 序列模式挖掘是数据挖掘的一个重要分支，在序列事务及；有关信息处理中有着广泛的应用，如顾客购物习惯、web访问模式、科学实验过程分析、自然灾害预测、疾病治疗、药物检验以及{ sizej pos； DNA等。序列模式挖掘算法有AprioriAll、GsP、F’reeSpan、本文将设计与实现针对string数据类型的算法，来对序列模式挖掘有更深入的剖析。-Sequence pattern mining is an important branch of data mining, and in t
Soumen_Chakrabarti_Mining_the_web
- 电子书，作者：Soumen Chakrabarti。书名：Mining the Web --- Discovering Knowledge from Hypertext Data-Ebook, author: Soumen Chakrabarti。Title: Mining the Web--- Discovering Knowledge from Hypertext Data
datascraper_zh
- DataScraper是网页信息提取（抽取）工具箱MetaSeeker中的一个工具，可以提取任何网站，为一个网站定制提取规则时不用编程，操作GUI，规则自动生成。适合做 1. 垂直搜索（或称为专业搜索）服务 2. 信息汇聚和门户服务 3. Mashup服务 4. 企业网信息汇聚 5. 商业情报采集 6. 论坛或博客迁移 7. 智能信息代理 8. 个人信息检索 9. 信息挖掘 有多个版本可以共享下载，下载完整工具箱，请访问：http:
WebMining
- In this project, we present a complete framework and findings in mining web usage patterns from Web log files of a real website that has all the challenging aspects of real life web usage mining, including evolving user profiles and external data des
UsingDataMiningTechniquesforDetectingTerrorRelate
- An innovative knowledge-based methodology for terrorist detection by using Web traffic content as the audit information is presented. The proposed methodology learns the typical behavior of terrorists by applying a data mining algorithm to the te
SVMhybridsystem
- A distributed PSOSVM hybrid system with feature selection and parameter optimization -Abstract This study proposed a novel PSO–SVM model that hybridized the particle swarm optimization (PSO) and support vector machines (SVM) to improve the clas
Mining-e-Coomerce-data-to-analyze-customer-behavi
- Mining the E-commerce Data to Analyze the Target Customer Behavior is developed in Java. It clusters customer segments by using K-Means algorithm and data from web log of various e-commerce websites. Consequently, the results showed that there was a
.the.Social.Web.Matthew
- Mining.the.Social.Web.Matthew.A.Russell.文字版-Mining the Social Web Matthew A Russell
web-data-mining
- 这是一本关于web data mining的书籍。既适合初学者，也适合有一定基础的人群。作者刘兵是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。-This is a book about web data mining. Not only for beginners, but also the basis for a certain crowd. Bing is the author of Web mining research interna
Mining-the-Web
- 这是一本关于web数据挖掘的书籍，但不是很适合初学者。-This is a book about web data mining, but not very suitable for beginners.
Text-mining
- 10几篇文本挖掘方面的论文 例如 web内容挖掘综述 web内容挖掘技术研究.-Text mining,data mining,web mining.10 several text mining papers such as the web content mining Summary of Web Content Mining.
Web-Data-Mining
- （Web数据挖掘讲义-UIC刘兵著）Web Data Mining-Author Bing Liu By Springer-(Web Data Mining Web Data Mining-the Author, Bing Liu, By, Bing handouts-UIC), Springer,
The-programming-collective-wisdom
- 《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
twitter__util
- <社交网站的数据挖掘与分析>中的源代码：twitter__util.py脚本-《mining the web data》 code resource :twitter__util.py scr ipt
xml-web
- 基于XML的Web挖掘框架设计，可开拓对于web xml框架设计的思想。-XML-based Web mining framework design, pioneering design ideas for the web xml framework.
Advanced-AI-Techniques-for-Web
- 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 chan
Web-Mining-for-Web-Personaliza
- Web personalization is the process of customizing a Web site to the needs of specific users, taking advantage of the knowledge acquired from the analysis of the user’s navigational behavior (usage data) in correlation with other information collected