Description: 程序用C语言实现了贝叶斯在数据挖掘中分类和预测中的应用，通过程序可以很好的进行分类和预测。-This program use C language to realize the application of bayes in data mining and forecasting,you can use this program to make a good classification and forecasting
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Author:龚文引 |
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Description: 数据挖掘在公司财务分析中的应用，用vc编程，希望能够帮助大家-data mining in financial analysis, the application vc programming, we hope to help Platform: |
Size: 156425 |
Author:小强强 |
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Description: 小叶波算法，用有数据压缩在数据挖掘和图像的压缩中有很好的应用，-small Ye Bo algorithm, data compression is used in data-mining and image compression is a very good application, Platform: |
Size: 117612 |
Author:mou |
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Description: 本书为数据挖掘。。介绍了数据挖掘的基本概念。基本方法，原理及其应用。-the book for data mining. . Data mining of the basic concept. The basic method, principle and its application. Platform: |
Size: 2370175 |
Author:cxl |
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Description: Form1.cs是应用聚类算法DBSCAN (Density-Based Spatical Clustering of Application with Noise)的示例，可以通过两个参数EPS和MinPts调节聚类。DBSCAN.cs是全部算法的实现文件，聚类算法的进一步信息请参考“数据挖掘”或者相关书籍。聚类示例数据来自于sxdb.mdb，一个Access数据库。-Form1.cs clustering algorithm is applied DBSCAN (Density-Based S patical Clustering of Application with Noise) example, the two parameters can EPS and MinPts regulation clustering. DBSCAN.cs algorithm is the realization of all documents, the clustering algorithm further information please refer to the "data mining" or books. Clustering sample data from sxdb.mdb, an Access database. Platform: |
Size: 26417 |
Author:yang |
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Description: 粗糙集应用软件，方便完成数据挖掘、知识总结-Rough Set application software to facilitate the completion of data mining, knowledge summary Platform: |
Size: 4174835 |
Author:xmj |
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Description: 程序说明：
Form1.cs是应用聚类算法DBSCAN (Density-Based Spatical Clustering of Application with Noise)的示例，可以通过两个参数EPS和MinPts调节聚类。
DBSCAN.cs是实现文件，聚类算法的进一步信息请参考“数据挖掘”或者相关书籍
聚类示例数据来自于sxdb.mdb，一个Access数据库。
已知问题及进一步改进建议：
问题：dbscan.cs行64，SortedList不支持重复键，因此若两个数据点距离相同则无法加入集合
解决：采用人为减小一个微小量，使数据点距离不同且不影响聚类结果
上一解决方案的问题：减小double.Epsilon微小量无助于使SortedList认为两点距离以及不同
解决：采用一个指数增长的微小量，连续重试直至SortedList认为距离已经不同
进一步改进建议：可能通过double的强制转型为内存中的byte类型（假设double型转为8个byte）
然后最后一个byte减去0x01可比较漂亮的解决问题，但是……呵呵，C#中我不会这个操作
也可以自己实现一个SortedList，支持重复键，当然，这，好像是微软应该做的工作了 ^_^
Eric Guo
<http://www.cnblogs.com/ericguo/>
-procedures : Form1.cs clustering algorithm is applied DBSCAN (Density-Based Spati cal Clustering of Application with Noise) example, two parameters can EPS and MinPts regulation clustering. DBSCAN.cs is, the clustering algorithm further information please refer to the "data mining" or books related data clustering example from sxdb.m db, an Access database. Known issues and recommendations for further improvement : : 64 dbscan.cs OK, SortedList not support duplicate keys, and therefore if two data points from the same pool can not be solved by adding : By applying an artificially reduce a small amount of data from different points without clustering results on the impact of a solution of the problem : double.Epsilon small decrease in the amount of helplessness to make that 2:00 S Platform: |
Size: 15653 |
Author:Huang Yi |
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Description: 这是一本关于data mining 得好书，里面详细叙述了关于data mining的所有方面，文字朴实易懂，有很强的应用性，现在只有英文版-This is one of data mining in the books which detailed data on all aspects of mining, text and simple to understand and have a very strong application, Now English only Platform: |
Size: 2041933 |
Author:Deng Yun |
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Description: 数据仓库技术和OLAP研究，数据仓库、数据挖掘和OLAP分析及其应用实例-data warehouse and OLAP technology research, data warehouse, data mining and OLAP Analysis and Application Examples Platform: |
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Author:陈建军 |
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Description: 一个小型的数据挖掘器应用软件,综合数据挖掘的各种功能，包括关联分析模块、分类模块、聚类分析模块-a small application for data mining software, integrated data mining of various functions, including relational analysis module, Classification Module, cluster analysis module Platform: |
Size: 4166996 |
Author:lizi |
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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: 313477 |
Author:Eric Cheng |
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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: 一个数据挖掘爱好者的总结，涉及数据挖掘的应用领域，有参考价值-a data mining lovers sum up, involving the application of data mining areas, a reference value Platform: |
Size: 328714 |
Author:youyou |
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Description: OpenI provides a web-driven interface to build and publish interactive reports from OLAP data sources.Going beyond that, OpenI aims to provide consolidated analysis from all the key data components of an intelligent application, including:
OLAP data sources
Relational databases
Statistical data models
Data mining models Platform: |
Size: 59104372 |
Author:陈晨 |
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Description: 数据挖掘中，判别树算法的应用例子。属于分类中的算法 很好。-data mining, discriminant Tree Algorithm application examples. The classification is a good algorithm. Platform: |
Size: 151978 |
Author:cxl |
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Description: 入侵检测技术已经成为网络安全领域的研究热点。本文介绍了入侵检测的分类以及应用在入侵检测中的数据挖掘方法，并阐述了构建的基于数据挖掘技术的入侵检测系统的设计与实现。-Intrusion Detection Technology network security has become a hot topic. This paper introduces the intrusion detection and the application of the classification in Intrusion Detection Data Mining Methods and expounded on the data mining technology based Intrusion Detection System Design and Implementation. Platform: |
Size: 6753 |
Author:李显 |
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Description: 分类器的性能比较与调优:
使用scikit-learn 包中的tree，贝叶斯，knn，对数据进行模型训练，尽量了解其原理及运用。
使用不同分析三种分类器在实验中的性能比较，分析它们的特点。
本实验采用的数据集为house与segment。(Performance comparison and optimization of classifiers:
We use tree, Bayesian and KNN in scikit-learnpackage to train the data model and try to understand its principle and application.
The performances of three classifiers are compared and their characteristics are analyzed.
The data set used in this experiment is house and segment.) Platform: |
Size: 1301504 |
Author:Ryan112 |
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