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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: 5420032 |
Author: 无影 |
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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: 343040 |
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: 5204992 |
Author: 张一于 |
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Description: 这是一个由java实现的数据挖掘，以前收集。里面有英文技术文档-This is a java achieved by data mining, previously collected. There are English technical documentation
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Size: 3986432 |
Author: 王文川 |
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Description: 数据挖掘领域一个活跃的研究分支就是序列模式的发现，上传一个prefixspan算法-The field of data mining of an active research branch is the sequential pattern discovery algorithm to upload a PrefixSpan
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Size: 121856 |
Author: 闻晞 |
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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.-Data mining (DM) is the extraction of hidden predictive information from large databases (DBs). With the automatic discovery of knowledge implicit within DBs, DM usessophisticated statistical analysis and modeling techniques to uncover patterns and relationshipshidden in organizational DBs. Over the last 40 years , the tools and techniques toprocess structured information have continued to evolve from DBs to data warehousing (DW) to DM. DW applications have become business-critical. DM can extract even morevalue out of these huge repositories of information.
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Size: 4267008 |
Author: 苏苏 |
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Description: 用Ｖｉｓｕａｌ ｃ＋＋写，是一个计算机教学挖掘系统，用到了算法ＩＤ３算法-Using Visual c to write, is a computer teaching mining system, the algorithm used in ID3 algorithm
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Size: 7708672 |
Author: aaa |
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Description: 此源码是说明了如何在EXCEL2007中嵌套数据挖掘的功能,并提供接口给其它应用程序调用-This source is described how data mining EXCEL2007 in nested functions, and provide interfaces to other applications call
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Size: 82944 |
Author: sam |
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Description: 此程序实现了如何在TXT或WORD文档中进行数据挖掘,在文本中提取有用信息-The realization of this procedure how to TXT or WORD document to carry out data mining, in the text to extract useful information
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Size: 384000 |
Author: sam |
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Description: 此程序演示了如何在数据挖掘语言DMX中嵌套存储过程,以供ADOMD.NET和AMO接口调用-This procedure demonstrates how data mining language DMX in nested stored procedures, and the AMO for ADOMD.NET interface call
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Size: 14336 |
Author: sam |
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Description: 数据仓库与数据挖掘经典书籍----数据挖掘概念与技术-data mining concepts and technics
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Size: 21324800 |
Author: 大卫 |
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Description: Data Mining Practical Machine Learning Tools and Techniques
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Size: 5420032 |
Author: khalid |
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Description: 文本数据的数据挖掘算法:对大量存在的文本数据，用已有的结构化数据挖掘技术，提出了非结构化数据知识发现方法。-The text data about data mining algorithms
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Size: 151552 |
Author: lsccls |
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Description: 数据挖掘如何成为数据库技
术自然进化的一部分，为什么数据挖掘是重要的，以及如何定义数据挖掘。你将学习数据挖掘系统
的一般结构，并考察挖掘的数据种类，可以发现的数据类型，以及什么样的模式提供有用的知识。
除学习数据挖掘系统的分类之外，你将看到建立未来的数据挖掘工具所面临的挑战性问题。-Data Mining How to become a part of natural evolution database technology, why data mining is important, as well as how to define data mining. You will learn the general structure of the data mining system, and examine the kind of data mining, data types can be found, and what kind of model provides useful knowledge. In addition to the classification of learning outside the data mining system, you will see the establishment of a data mining tool for the future challenges facing the problem.
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Size: 1777664 |
Author: chenlei |
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Description: SQL - Data Mining Handbook
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Size: 1508352 |
Author: bambam |
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Description: 数据挖掘基础学习书籍，适合初学者阅读。结合数据挖掘原理一起来看。-Data Mining
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Size: 26708992 |
Author: qiqi |
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Description: Morgan Kaufmann Data Mining Practical Machine Learning Tools and Techniques Second Edition Jun 2005
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Size: 5415936 |
Author: Mehdi |
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Description: 《机器学习与数据挖掘方法和应用》，讨论数据挖掘和知识发现中的有关问题及多策略学习方法，具体地阐述了机器学习与数据挖掘在工程设计，文本，图像和音乐，网页分析，计算机病毒和计算机控制，医疗诊断，生物医疗信号分析和水质分析中的生物信号处理等方面的应用情况，根据实例说明具体解决方法。-" Machine learning and data mining methods and applications" to discuss the data mining and knowledge discovery issues and multi-strategy learning methods, specifically describes the machine learning and data mining in engineering design, text, images and music, web analysis, computer viruses and computer control, medical diagnostics, biomedical signal analysis and quality analysis of biological signal processing and other applications, according to examples of specific solutions.
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Size: 17798144 |
Author: iris_su |
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Description: Opinion Mining slides from Bing Liu
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Size: 693248 |
Author: kolo |
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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
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Size: 3355648 |
Author: 陈东 |
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