Description: 《数据仓库与数据挖掘技术》电子版教材
本课程主要介绍数据仓库的基本概念、基本原理，数据仓库的规划、分析设计方法、开发方法、元数据管理、数据仓库管理等知识，同时对数据仓库的应用，联机分析处理和数据挖掘的基本概念、主要算法作简单介绍，对一些典型的数据仓库解决方案（如微软的SQL SERVER 数据仓库解决方案 ）作简单介绍。-"data warehouse and data mining technology" electronic version of the teaching curriculum introduces the basic data warehouse concept, basic principles of data warehouse planning, analysis and design, development, metadata management, data warehouse management knowledge, Meanwhile the data warehouse applications, on-line analytical processing and data mining of the basic concepts of the main algorithm for a brief introduction, Some typical data warehouse solutions (such as Microsoft SQL Server data warehouse solutions), a simple introduced. Platform: |
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Author:球王 |
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Description: (Principles of Data Mining )本书,为数据挖掘中很经典的一本专著.介绍了数据挖掘算法及其应用所依赖的基本原理,系统讲座了如何构建求解特定问题的不同算法等-(Principles of Data Mining) book Data Mining for a very classic one monographs. introduced a data mining algorithm and its application on the basic principles, System Construction of talks on how to solve specific problems of different algorithms Platform: |
Size: 12821215 |
Author:wuyuqian |
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Description: 《数据仓库与数据挖掘技术》电子版教材
本课程主要介绍数据仓库的基本概念、基本原理，数据仓库的规划、分析设计方法、开发方法、元数据管理、数据仓库管理等知识，同时对数据仓库的应用，联机分析处理和数据挖掘的基本概念、主要算法作简单介绍，对一些典型的数据仓库解决方案（如微软的SQL SERVER 数据仓库解决方案 ）作简单介绍。-"data warehouse and data mining technology" electronic version of the teaching curriculum introduces the basic data warehouse concept, basic principles of data warehouse planning, analysis and design, development, metadata management, data warehouse management knowledge, Meanwhile the data warehouse applications, on-line analytical processing and data mining of the basic concepts of the main algorithm for a brief introduction, Some typical data warehouse solutions (such as Microsoft SQL Server data warehouse solutions), a simple introduced. Platform: |
Size: 159744 |
Author:球王 |
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Description: (Principles of Data Mining )本书,为数据挖掘中很经典的一本专著.介绍了数据挖掘算法及其应用所依赖的基本原理,系统讲座了如何构建求解特定问题的不同算法等-(Principles of Data Mining) book Data Mining for a very classic one monographs. introduced a data mining algorithm and its application on the basic principles, System Construction of talks on how to solve specific problems of different algorithms Platform: |
Size: 12820480 |
Author:wuyuqian |
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Description: The book consists of three sections. The first, foundations, provides a tutorial overview of the principles underlying data mining algorithms and their application. The presentation emphasizes intuition rather than rigor. The second section, data mining algorithms, shows how algorithms are constructed to solve specific problems in a principled manner. The algorithms covered include trees and rules for classification and regression, association rules, belief networks, classical statistical models, nonlinear models such as neural networks, and local memory-based models. The third section shows how all of the preceding analysis fits together when applied to real-world data mining problems. Topics include the role of metadata, how to handle missing data, and data preprocessing.-The book consists of three sections. The first, foundations, provides a tutorial overview of the principles underlying data mining algorithms and their application. The presentation emphasizes intuition rather than rigor. The second section, data mining algorithms, shows how algorithms are constructed to solve specific problems in a principled manner. The algorithms covered include trees and rules for classification and regression, association rules, belief networks, classical statistical models, nonlinear models such as neural networks, and local memory-based models. The third section shows how all of the preceding analysis fits together when applied to real-world data mining problems. Topics include the role of metadata, how to handle missing data, and data preprocessing.
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Size: 2140160 |
Author:Tthias |
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Description: k-means(欧氏距离)聚类算法是最基本的聚类算法，是理解和应用聚类算法的基础，通过k-means(欧氏距离)聚类算法我们才可以初步了解数据挖掘的原理。-k-means (Euclidean distance) clustering algorithm is the most basic clustering algorithm, is understanding and the basis for the application of clustering algorithm, through the k-means (Euclidean distance) clustering algorithm we are able to a preliminary understanding of the principles of data mining . Platform: |
Size: 276480 |
Author:徐加子 |
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Description: 数据挖掘原理英文原版第二版，MIT出版社，数据挖掘的经典书籍，是对数据挖掘概念和技术的一次全面介绍，适合作为参考书籍。-Principles of Data Mining the second edition of the original English edition, MIT Press, a classic book of data mining is data mining concepts and techniques in a comprehensive introduction for use as reference books. Platform: |
Size: 3337216 |
Author:joe |
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Description: Principles of Data Mining是数据挖掘领域里面又一本经典的教材，呵呵，希望对大家有帮助-Principles of Data Mining is a data mining inside another in this classic textbook, Oh, you want to help Platform: |
Size: 3337216 |
Author:yangyang |
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Description: 数据挖掘原理，本书适合于高校研究生或相关人员研究数据挖掘之用。-Principles of Data Mining, this book is suitable for college graduate or related personnel data mining purposes. Platform: |
Size: 12822528 |
Author:张国华 |
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Description: 这是一本学校内部交流资料上的关于SQL编程的好书籍，外校学生是很难下到的，特此奉献给数据库爱好者-This is a school on the internal exchange of information on good SQL programming books, foreign students is very hard to, and hereby dedicate to the database lovers Platform: |
Size: 3443712 |
Author:杜明洲 |
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Description: 这是《数据挖掘原理与应用—SQL Server 2008数据库》的随书SQL语句、源代码和Excel范例文件，基于DMX，代码主要包括对SQL Server 2008和Excel 2007中已经集成好的数据挖掘算法的应用， 如贝叶斯聚类、决策树、时序、聚类、序列聚类、关联规则、神经网络、逻辑回归、OLAP立方体的等算法，具有极高的使用价值。-This is the " Principles and Applications of data mining-SQL Server 2008 database" SQL statements with the book, the source code and Excel sample file, based on the DMX, the code mainly on the SQL Server 2008 and Excel 2007 have been integrated in the application of good data mining algorithms such as Bayesian clustering, decision tree, time series, clustering, sequence clustering, association rules, neural network, logistic regression, OLAP cubes and other algorithms, with a high use value. Platform: |
Size: 27428864 |
Author:吴 |
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Description: 本书共15章，分两个部分：基础篇、实战篇。基础篇介绍了数据挖掘的基本原理，实战篇介绍了一个个真实案例，通过对案例深入浅出的剖析，使读者在不知不觉中通过案例实践获得数据挖掘项目经验，同时快速领悟看似难懂的数据挖掘理论。读者在阅读过程中，应充分利用随书配套的案例建模数据，借助相关的数据挖掘建模工具，通过上机实验，以快速理解相关知识与理论。(There are 15 chapters in this book, which are divided into two parts: the basic chapter and the actual combat chapter. The basic chapter introduces the basic principles of data mining, and the actual combat section introduces a real case. Through the analysis of the cases, the readers can gain the experience of data mining projects through the case practice unconsciously, and quickly understand the seemingly difficult theory of data mining. In the process of reading, readers should make full use of the case modeling data provided with the book, with the help of relevant data mining modeling tools, and through computer experiments, to quickly understand the relevant knowledge and theory.) Platform: |
Size: 49031168 |
Author:zhaolong2020 |
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