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Description: 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.
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Size: 13426 |
Author: 杨颂 |
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Description: 数据挖掘的一个研究方向,此书中介绍了数据挖掘的基本概念以及weka的用法-a data mining research, the book introduces the Data Mining and the basic concept of the usage weka
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Size: 5420637 |
Author: 无影 |
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Description: 介绍数据挖掘中的web挖掘，基本含义，策略及步骤-introduced the Data Mining web mining, basic meaning, strategy and steps
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Size: 388170 |
Author: kiki |
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Description: 由于数据复杂度的增加以及量的增加，数据挖掘技术提供了非常成熟的分析、抽取的工具-because of the complexity of data and increase the volume of data mining techniques to provide a very mature, Extraction tools
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Size: 343448 |
Author: yu liu |
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Description: 关于微软 sql server 2005 数据挖掘的一本权威书籍！由其开发组成员编写。-on Microsoft sql server 2005 data mining an authoritative books! Its development team members to prepare.
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Size: 5204762 |
Author: 张一于 |
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Description: 这是一个自己做采矿小游戏演示文件fla文件，希望大家能和大家一起讨论一起分享-This is a small mining their own game Presentations fla documents, hope that we can all work together to discuss and share
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Size: 115161 |
Author: 吴小军 |
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Description: 各种数据挖掘算法的源代码，很齐全，很好用的阿！-data mining algorithm source code is very comprehensive and good use of A!
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Size: 6682805 |
Author: zz |
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Description: Data mining (DM) is the extraction of hidden predictive information from large databases
(DBs). With the automatic discovery of knowledge implicit within DBs, DM uses
sophisticated statistical analysis and modeling techniques to uncover patterns and relationships
hidden in organizational DBs. Over the last 40 years, the tools and techniques to
process structured information have continued to evolve from DBs to data warehousing
(DW) to DM. DW applications have become business-critical. DM can extract even more
value out of these huge repositories of information.
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Size: 4267682 |
Author: 苏苏 |
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Description: 数据仓库与挖掘百科全书。
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Size: 20206944 |
Author: liusha0210 |
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Description: Data Mining using MLC++
A Machine Learning Library in C++
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Size: 308531 |
Author: xiankaichen@gmail.com |
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Description: 文本挖掘入门经典。推荐下载！
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Size: 4256186 |
Author: dahae2010@yahoo.cn |
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Description: 数据挖掘中的关联规则发现算法-Data Mining Association Rules algorithm
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Size: 120832 |
Author: yzh |
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Description: 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 internationally renowned expert in Web content mining, Internet, view mining, data mining and other areas have very high attainments.
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Size: 8485888 |
Author: 郑牟 |
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Description: principle and algorithm of data mining
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Size: 10715136 |
Author: hjiang |
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Description: 数据挖掘：概念与技术，本书是一个导论，介绍什么是数据挖掘，什么是数据库中知识发现。书中的材料从数据库角度提供，特别强调发现隐藏在大型数据集中有趣数据模式的数据挖掘基本概念和技术。所讨论的实现方法主要面向可规模化的、有效的数据挖掘工具开发。(Data mining: concepts and techniques. This book is an introduction to what data mining is and what is knowledge discovery in databases. The material in the book is presented from a database perspective, with particular emphasis on discovering the basic concepts and techniques of data mining hidden in large data sets with interesting data patterns. The implementation method is mainly for large-scale and effective data mining tools.)
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Size: 6644736 |
Author: 猫熊
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Description: Data Mining with R learning by case studies
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Size: 1635328 |
Author: rqd
|
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Description: it is about link mining
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Size: 105472 |
Author: tarannom
|
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Description: 我就下一个20k的文档就必须上传上传上传吗吗吗吗(data mining dddddda daf fafsd df as fsd df sdf)
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Size: 1635328 |
Author: xiang16
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Description: 流程挖掘的目的是从公司ERP系统维护的事件日志中提取知识。(The case for process mining in auditing)
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Size: 264192 |
Author: magicbird |
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Description: Python数据挖掘入门与实践
本书作为数据挖掘入门读物，介绍了数据挖掘的基础知识、基本工具和实践方法，通过循序渐进地讲解算法，带你轻松踏上数据挖掘之旅。本书采用理论与实践相结合的方式，呈现了如何使用决策树和随机森林算法预测美国职业篮球联赛比赛结果，如何使用亲和性分析方法推荐电影，如何使用朴素贝叶斯算法进行社会媒体挖掘，等等。本书也涉及神经网络、深度学习、大数据处理等内容。本书面向愿意学习和尝试数据挖掘的程序员。(Introduction and practice of Python data mining
As a primer on data mining, this book introduces the basic knowledge, basic tools and practical methods of data mining. By step-by-step explanation of the algorithm, you can easily embark on the journey of data mining. This book uses a combination of theory and practice, showing how to use the decision tree and random forest algorithm to predict the results of the American professional basketball league game, how to use the affinity analysis method to recommend movies, how to use the naive Bayesian algorithm for social media mining ,and many more. This book also covers neural networks, deep learning, big data processing and more. This book is for programmers who are willing to learn and experiment with data mining.)
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Size: 3900416 |
Author: ycg95 |
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