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- 基于数据挖掘的经济普查数据分析的整篇论文 内含程序-Based on the data mining analysis of the economic census data contains the entire thesis process
DMIDS
- 基于数据挖掘技术的入侵检测系统的设计思路与模型，以及改进思路-Based on Data Mining Intrusion Detection System Design and model, as well as ideas to improve
AprioriDatamining
- 数据挖掘算法在零售业的应用--毕业设计类-Data mining algorithms for applications in the retail industry
yichuansuanfawenxian04
- 这是一篇文献，题目是：《基于粗糙集和遗传算法的数据挖掘方法》-This is a document entitled: " Based on Rough Set and Genetic Algorithm Data Mining"
agedata2001.ZIP
- its a good data set for data mining operation.
DataMiningBasedOnClassificationAndAssociationRules
- 本文从基于数据库的知识发现开始，较系统全面地介绍了KDD、数据挖掘都基本概念，并研究了数据挖掘所采用都技术方法和应用领域：在现有研究工作的基础上，提出用连续量代替离散量来表示客体的思想，同时采用积分面积来表示两个客体之间都距离，并对客体进行分类。利用上述方法对学生都数据进行挖掘，得到了一些有用的结论，从而指导学校都教学工作。-Based on the knowledge discovety in database this paper presents a introduction of KDD
AnApproachToTheNeuralNetworkBasedDataMining
- 针对数据挖掘中的分类问题，本文提出了一种利用神经网络抽取分类规则都方法。为了易于抽取规则，采用遗传算法对神经网络的结构进行了进化。实际运行结果表明了该方法的有效性。-Classification is an inportant problem in data mining.This paper presents an approach to discover classification rules by using neural networks.Genetic algorithms is u
smtong030212
- data mining decision tr-data mining decision tree
shujuwajue
- 关于数据挖掘是上世纪90年代兴起的研究领域，在现代社会作用越来越大！-On data mining is the rise of the last century 90' s field of study, in playing an increasingly important role in modern society!
dm_skeleton1
- 数据分析与数据挖掘课程之概论和分析技术，对BI领域概念理解、实现及其有用。-Data analysis and data mining and analysis of courses of Introduction to technology, the concept of understanding the area of BI, and its useful.
dm_skeleton2
- 数据分析与数据挖掘课程之挖掘概论和技术展现，对BI领域概念理解、实现及其有用。-Data analysis and data mining course Introduction to Mining and Technology show, the concept of understanding the area of BI, and its useful.
IRpapers
- 有关信息检索方面的四篇博士论文，涉及数据挖掘等诸多方面，经典！-Four aspects of information retrieval doctoral dissertation, involving many aspects such as data mining, classic!
10Algorithms-08
- This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms
ARM
- 数据挖掘，分类的方法介绍和聚类的相关应用等-data mining
DataMining
- Data mining in different platforms
DataMining
- UNO’s College of Information Science and Technology (CIST) requests funding for the creation of a Data Mining Laboratory to leverage existing and cutting-edge technologies and facilities in the Peter Kiewit Institute.
styl
- 以二元组的形式存储项集,但是数 据挖掘都是基于海量数据的,因此,算法运行时需要大 量内存,对此将在今后的研究中进行改进。-In order to store items in the form of binary group set, but data mining are based on large amounts of data, and therefore, the algorithm requires a lot of memory to run this will be im
DataWarehouseAndDataMining
- 数据仓库与数据挖掘，包括informatica调优要点，etl以及BO等展现工具的应用，比较系统全面-Data warehouse and data mining, including the informatica tuning points, etl, and BO display tools such as the application of systematic and comprehensive comparison
2
- 针对数据挖掘的研究，对写论文等有很大用处-For data mining research, writing papers, etc. on the very useful
datamining
- 介绍了数据挖掘的各种方法（如支持向量机，神经网络，遗传算法）在地震预测中的应用-Introduced a variety of data mining methods (such as support vector machines, neural networks, genetic algorithms) in the earthquake prediction