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New-methods-in-data-mining--SVM
- 数据挖掘中的新方法—支持向量机这本书非常全面的介绍了支持向量机的原理，以及一些概率统计中的算法。-A new method for data mining, support vector machine, this book is a comprehensive introduction to the principle of support vector machine, and some in the probability statistics method.
Data-Mining
- 数据挖掘方法,包含如何进行数据挖掘，数据挖据的基本方法等-Way of data mining
Data-Mining-Concepts-and-Techniques
- 数据挖掘概念与技术（作者：韩家炜） 主要讲述数据挖掘的一些知识-Data Mining Data Mining Concepts and Techniques (Author: Han Wei) focuses on knowledge
data-mining-stock-forecast
- 数据挖掘之股票预测系列培训The data mining stock forecast series training-The data mining stock forecast series training
Top-Ten-Algorithms-In-Data-Mining
- 这是数据挖掘领域总结的十大经典算法，有助于同学们研究-This is a summary of the top ten algorithms of the field of data mining to help students
data-mining
- 很全的数据挖掘课件 很实用 去年上课时自己保留的课件 对科研的同学有一定指导作用-Very very useful data mining courseware keep courseware class last year some guidance for research students
Web-Data-Mining
- （Web数据挖掘讲义-UIC刘兵著）Web Data Mining-Author Bing Liu By Springer-(Web Data Mining Web Data Mining-the Author, Bing Liu, By, Bing handouts-UIC), Springer,
data-mining
- 本书全面介绍了数据挖掘，涵盖了五个主题：数据、分类、关联分析、聚类和异常检测。除异常检测外，每个主题都有两章：前一章涵盖基本概念、代表性算法和评估技术，而后一章讨论高级概念和算法。这样读者在透彻地理解数据挖掘的基础的同时，还能够了解更多重要的高级主题。 -Introduction to Data Mining Instructor’s Solution
data-mining-gradient-descent
- 机器学习，数据挖掘，利用梯度下降的算法来实现。-Machine learning, data mining, using the gradient descent algorithm.
Data-mining
- 数据挖掘，实现ID3算法，里面有例子，还有很详细的步骤。-Data mining, the ID3 algorithm, there are examples, as well as very detailed steps.
data-mining
- 数据挖掘的课件，简要介绍了数据挖掘相关的知识-Data mining, courseware, brief introduction to data mining-related knowledge
Data-warehouse-and-data-mining-
- 数据仓库与数据挖掘相关书籍，pdf格式，简述数据挖掘的算法-Data warehouse and data mining books, pdf format, summarized data mining algorithms
Data-Mining-Master-Degree-Thesis-1
- Data Mining Master Degree Thesis-1
Data-Mining-Master-Degree-Thesis-2
- Data Mining Master Degree Thesis-2
Data-Mining-Master-Degree-Thesis-3
- Data Mining Master Degree Thesis-3
Data-Mining-Master-Degree-Thesis-4
- Data Mining Master Degree Thesis-4
Data-Mining-Master-Degree-Thesis-5
- Data Mining Master Degree Thesis-5
Introduction-to-Data-Mining
- Introduction to Data mining, by Tan, Steinbach and Kumar. This is for original book s slides. Useful.
data-mining-application-research
- 数据 挖掘就是面对海量的存储数据建立数学模型，找出隐含的业务规则和有价值的信 息，在实际应用中发挥作用 -Data mining is the face of vast amounts of stored data to a mathematical model to identify the implicit business rules and valuable information to play a role in practical applications
data-mining-technology
- 数据挖掘是知识发现过程的一个基本步 骤。KDD是一门交叉学科，它涉及统计学、数据库技术、计算机科学、模式识别、人工智能、机器学习等多个学科。 -Data mining is a fundamental step in the knowledge discovery process. KDD is an interdisciplinary, it involves statistics, database technology, computer science, pattern reco