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: 以从医院病案室获得的3022例数据为样本，在完成样本数据库以及糖尿病并发症的多维数据集设计后，以糖尿病并发症流行病学知识发现为重点，研究定性数据定量化挖掘模型及算法引擎的设计与实现，即将关联模型引入糖尿病并发症的流行病学研究，应用集合论中的Apriori性质，实现关联规则的挖掘引擎设计。-cases from the hospital to obtain the data for 3,022 cases samples the completion of the sample database and diabetic complications multidimensional data sets design, Complications of diabetes epidemiology knowledge discovery as the focus, Quantitative study of qualitative data mining engine model and algorithm design and implementation, Relational Model forthcoming introduction of diabetic complications epidemiological studies, the application of set theory Apriori nature, Implementation of mining association rules engine design. Platform: |
Size: 313344 |
Author:Eric Cheng |
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Description: 以从医院病案室获得的3022例数据为样本，在完成样本数据库以及糖尿病并发症的多维数据集设计后，以糖尿病并发症流行病学知识发现为重点，研究定性数据定量化挖掘模型及算法引擎的设计与实现，即将关联模型引入糖尿病并发症的流行病学研究.运用决策树技术对数据样本进行分析，采用C4.5找到最优决策树-cases from the hospital to obtain the data for 3,022 cases samples the completion of the sample database and diabetic complications multidimensional data sets design, Complications of diabetes epidemiology knowledge discovery as the focus, Quantitative study of qualitative data mining engine model and algorithm design and implementation, Relational Model forthcoming introduction of diabetic complications epidemiological studies. the use of decision tree technical data samples for further analysis. C4.5 used to find optimal decision tree Platform: |
Size: 308224 |
Author:Eric Cheng |
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Description: 本书深入浅出的介绍了数据挖掘的智能的基础知识，语言精炼、易懂，很适合初学的学习和参考。-This book in simple terms the introduction of intelligent data mining based on knowledge, language, refining, easy to understand, it is suitable for beginner learning and reference. Platform: |
Size: 2015232 |
Author:Tim |
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Description: 介绍一种非常有效的对大数据库的数据挖掘算法-数据聚类-A very effective introduction to the large database of data mining algorithms- Data Clustering Platform: |
Size: 1482752 |
Author:huwenan |
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Description: Web数据挖掘是将数据挖掘技术和理论应用于对WⅣW 资源进行挖掘的一个新兴的研究领域。本文论述了Web数据挖掘的发展现状、发展趋势以及将来可能的研究方向，并简单介绍了个性化搜索引擎的一些情况，最后论述了web数据挖掘在个性化搜索引擎中的应用。-Web data mining is data mining technology and theory applied to the W ⒓ W resources to carry out excavation of an emerging research field. This article discusses the development of Web data mining the status quo, development trends and potential future research directions, and a simple introduction of personalized search engines some of the situations, and finally discusses the web of data mining in personalization search engine applications. Platform: |
Size: 240640 |
Author:梁旭 |
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Description: 支持向量机导论中文版，如果你愿意了解，你就可以了解支持向量机。支持向量机在数据挖掘领域目前已经成为一个热点之一。-Support Vector Machines An Introduction to the Chinese version, if you are willing to understand, you can understand the support vector machine. Support Vector Machine in the field of data mining has become a hot one. Platform: |
Size: 4815872 |
Author:gouyabin |
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Description: Pang-Ning Tan<<的数据挖掘导论>>课后习题答案(英文版)-Pang-Ning Tan <<Introduction to Data Mining>> Exercises after the answer (in English) Platform: |
Size: 1033216 |
Author:谭明艳 |
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Description: Many of the pattern fi nding algorithms such as decision tree, classifi cation rules and clustering
techniques that are frequently used in data mining have been developed in machine learning
research community. Frequent pattern and association rule mining is one of the few excep-
tions to this tradition. The introduction of this technique boosted data mining research and its
impact is tremendous. The algorithm is quite simple and easy to implement. Experimenting
with Apriori-like algorithm is the fi rst thing that data miners try to do. Platform: |
Size: 132096 |
Author:鱼彬彬 |
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Description: 这是数据挖掘导论书后所有习题的完全解析，可以-Introduction to Data Mining This is after the complete resolution of all Exercises Platform: |
Size: 1033216 |
Author:高高 |
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Description: 数据挖掘导论中的K近邻聚类算法，用C++编写而成。-Introduction to Data Mining of the K neighbors clustering algorithm, using C++ has been prepared by. Platform: |
Size: 440320 |
Author:绍敏 |
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Description: 89页PPT（pdf格式）。作者Byoung-Tak Zhang。全面介绍了机器学习和数据挖掘技术在生物学中的应用-89 PPT (pdf format). By Byoung-Tak Zhang. A comprehensive introduction to machine learning and data mining technology in biology Platform: |
Size: 3038208 |
Author:dengyue |
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Description: 机器学习与数据挖掘：方法和应用,本书分为5个部分,共18章,较为全面地介绍了机器学习的基本概念,并讨论了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。-Machine learning and data mining: methods and applications, the book is divided into five parts, 18 chapters, a more comprehensive introduction to the basic concepts of machine learning, and discuss the data mining and knowledge discovery and related issues in the multi-strategy learning methods and 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 water quality analysis and other aspects of biological signal processing applications. Platform: |
Size: 17956864 |
Author:肖光润 |
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Description: 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。
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-Introduction What is data mining, knowledge of what is found in the database. The book provides the material from a database perspective, with special emphasis found hidden in large data sets interesting data model and the basic concepts of data mining techniques. Discussed methods for implementation can scale and effective data mining tool development. In addition to learning outside the classification of data mining system, you will see the establishment of a data mining tool for the future challenges facing problems Platform: |
Size: 1763328 |
Author:cy |
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Description: 数据挖掘的相关方法的介绍和讲解 感兴趣的同学可以自己看看 还行不错的东西-The introduction of data mining methods, and explain to interested students can look okay good thing Platform: |
Size: 7168 |
Author:sailor |
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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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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.) Platform: |
Size: 3900416 |
Author:ycg95 |
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Search - data mining introduction