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 Platform: |
Size: 343448 |
Author:yu liu |
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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 Platform: |
Size: 343040 |
Author:yu liu |
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Description: 书在介绍了数据挖掘原理的基础上,从实用的角度出发,详细地介绍了数据挖掘的经典算法。本书是国内第一本对数据挖掘技术基础算法进行详细描述的实用性教材。
第1章从不同的角度对数据挖掘进行了介绍。第2章介绍了数据仓库技术的概念并给出了数据立方体的理论基础。第3章讲述了数据挖掘的数据预处理所涉及到的概念及算法。第4章~第8章详细介绍了数据挖掘的经典领域的算法,其中第6章简单介绍了数据可视化的内容。第9章介绍了开放的数据挖掘平台。
本书的使用对象是在校高年级的本科生、研究生及各个领域的高级软件开发人员。 -book introduced the Data Mining on the basis of principle, from the practical point of view. detailed presentation of the classical data mining algorithms. The book is the first of the technical basis for data mining algorithms described in detail the practical teaching. Chapter 1 from the perspective of different data mining was introduced. Chapter 2 of data warehouse technology and the concept of a data cube is the theoretical foundation. Chapter 3 on the data mining data preprocessing involved in the concept and algorithms. Chapter 4 ~ Chapter 8 details of the data mining field of classical algorithm, Chapter 6 which introduced a simple data visualization content. Chapter 9 on the open platform for data mining. The book was targeted at the use of high-grade school students, graduate stu Platform: |
Size: 10714112 |
Author:lorainve |
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Description: 数据挖掘研究现状及趋势.rar 研究数据挖掘技术的有效文档-Data Mining Research Status and trends. Rar research data mining techniques of effective document Platform: |
Size: 40960 |
Author:失魂鱼 |
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Description: 一种文本分类数据挖掘的技术,比较几种不同的文本分类方法,重点介绍熵。-A text classification data mining techniques to compare several different text classification methods, focusing on entropy. Platform: |
Size: 169984 |
Author:lili |
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Description: 数据挖掘概念和技术,从大数据库中挖掘关联规则。-Data mining concepts and techniques, from the large database of mining association rules. Platform: |
Size: 347136 |
Author:Mike |
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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. Platform: |
Size: 4267008 |
Author:苏苏 |
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Description: 数据挖掘机器学习工具与技术第二版的英文版,很棒的书,结合weka工具的实用书籍-Data Mining Machine Learning tools and techniques of the second edition in English, a great book, combined with practical books weka tool Platform: |
Size: 5526528 |
Author:徐晶 |
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Description: Data Mining: Concepts and Techniques
J. Han and M. Kamber
Morgan Kaufmann
2000
數據挖掘: 概念與技術
韓家煒-Data Mining: Concepts and TechniquesJ. Han and M. KamberMorgan Kaufmann2000 Data Mining: Concepts and Techniques Han Wei Platform: |
Size: 1785856 |
Author:palm |
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Description: 数据挖掘概念与技术,英文原版教材,该领域重要的参考书目-Data mining concepts and techniques, the original English teaching materials, important in the field of bibliography Platform: |
Size: 17676288 |
Author:xinyi |
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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. Platform: |
Size: 1777664 |
Author:chenlei |
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Description: Morgan Kaufmann Data Mining Practical Machine Learning Tools and Techniques Second Edition Jun 2005 Platform: |
Size: 5415936 |
Author:Mehdi |
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Description: This paper gives the description of various data mining techniques that are used to enhance the performance of the Intrusion detection system. Platform: |
Size: 97280 |
Author:deepa |
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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.) Platform: |
Size: 6644736 |
Author:猫熊
|
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