Description: GAUSS分布导引，PDF格式 对学习数据挖掘、机器学习、人工神经网络很有帮助-CLASS distribution guidance, in PDF format for learning data mining, machine learning, artificial neural network helpful Platform: |
Size: 156875 |
Author:局 |
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Description: GAUSS分布导引，PDF格式 对学习数据挖掘、机器学习、人工神经网络很有帮助-CLASS distribution guidance, in PDF format for learning data mining, machine learning, artificial neural network helpful Platform: |
Size: 156672 |
Author:局 |
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Description: 一些数据挖掘算法相关,包含定义网络拓扑,有关高血压研究方面的数据,朴素贝叶斯分类,关联规则基本概念,数据挖掘算法,
决策树方法在数据挖掘中的应用,训练贝叶斯信念网络,后向传播,贝叶斯信念网络,后向传播和可解释性,多层前馈神经网络-Some relevant data mining algorithms, including the definition of network topology, the high blood pressure research data, Naive Bayesian Classifier, the basic concepts of association rules, data mining algorithms, decision tree method in data mining applications, training Bayesian belief networks, to the spread of Bayesian belief networks, to the dissemination and interpretability, multi-layer feedforward neural network Platform: |
Size: 184320 |
Author:fast man |
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Description: 本文介绍了一个用java语言编写的用于分析消费行为的数据挖掘应用软件，并对于所应用的算法进了分析和解释。此软件具有客户消费等级分类，客户消费模式记
录，客户消费行为判断，异常消费警告等主要功能。该软件适用于银行业的决策者和网络购物的平台
-【Abstract】This review presents the course of developing software of Customer Behavior Analysis System with JAVA programming language and data mining technology .The paper presents the theories and methods of algorithm that we have used in the software .This software can be widely used in decision-maker in the bank and online-shopping platform.
【Keyword】Behavior Analysis Software BP Neural Network Personal Model Data Process Classification
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Size: 5535744 |
Author:caiwei |
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Description: 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 used to evolve neural network structure for extracting rules more easily.The experimental result shows the effectiveness of the method. Platform: |
Size: 20480 |
Author:yunzhang |
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Description: 数据挖掘和知识发现（Data Mining and Knowledge Discovery，DMKD）技术就是在这样的背景下产生的，是在数据库技术、机器学习、人工智能、统计分析、模型逻辑、人工神经网络和专家系统等基础上发展起来的新兴交叉科学，是继网络之后的又一个技术热点。如果将数据库中的大量数据比喻为矿床，则DMKD技术就是从这矿床中挖掘知识的“金块”的工具。由于其诱人的前景和巨大的难道，使得DMKD成为计算机信息处理领域的研究热点和前沿技术。-Data Mining and Knowledge Discovery (Data Mining and Knowledge Discovery, DMKD) technology is produced in this background is in database technology, machine learning, artificial intelligence, statistical analysis, model logic, artificial neural network and expert system based on developed new interdisciplinary science, is the second network technology hot spot after another. If the database of a large number of data compared to deposits, the DMKD technology is the knowledge of mining this deposit, the "gold" tool. Because of its attractive prospects and huge Could make DMKD a computer information processing in the field of research focus and cutting-edge technology Platform: |
Size: 7132160 |
Author:kizo |
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Description: 数据挖掘和知识发现（Data Mining and Knowledge Discovery，DMKD）技术就是在这样的背景下产生的，是在数据库技术、机器学习、人工智能、统计分析、模型逻辑、人工神经网络和专家系统等基础上发展起来的新兴交叉科学，是继网络之后的又一个技术热点。如果将数据库中的大量数据比喻为矿床，则DMKD技术就是从这矿床中挖掘知识的“金块”的工具。由于其诱人的前景和巨大的难道，使得DMKD成为计算机信息处理领域的研究热点和前沿技术。-Data Mining and Knowledge Discovery (Data Mining and Knowledge Discovery, DMKD) technology is produced in this background is in database technology, machine learning, artificial intelligence, statistical analysis, model logic, artificial neural network and expert system based on developed new interdisciplinary science, is the second network technology hot spot after another. If the database of a large number of data compared to deposits, the DMKD technology is the knowledge of mining this deposit, the "gold" tool. Because of its attractive prospects and huge Could make DMKD a computer information processing in the field of research focus and cutting-edge technology Platform: |
Size: 3072 |
Author:kizo |
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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: 本书详尽地阐述了数据挖掘与知识发现领域中的一些基本理论和研究方法。介绍了KDD与数据挖掘的概念数据挖掘对象知识发现过程研究方法以及相关研究领域和应用范围。作为知识发现的数据预处理工作，简要叙述了数据清理、数据约简、数据概念等级分层、多维数据模型等内容。书中较详细地介绍了粗糙集、模糊集、聚类分析、关联规则、人工神经网络、分类与预测等数据挖掘方法，最后还简要介绍了多媒体数据挖掘工作的有关进展。 本书可以作为计算机科学与技术专业和信息科学方向高年级本科生和研究生的教材或参考书，也可供有关科技人员学习参考。
-The book detailed description of data mining and knowledge discovery in the field of some of the basic theory and research method. Introduces the concept of data mining KDD and data mining knowledge discovery process research methods and related research areas and applications. As a knowledge discovery data preprocessing, briefly describes the data cleaning, data reduction, data concept hierarchy, multidimensional data model etc.. The book describes in detail the rough set, fuzzy set, association rule, cluster analysis, artificial neural network, classification and prediction method of data mining, and also briefly introduces the multimedia data mining related work in progress. This book can serve as a professional computer science and technology and information science graduate and advanced undergraduate textbooks or reference books, is also available for study and reference about scientific and technical personnel. Platform: |
Size: 1608704 |
Author:冯荣俊 |
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Description: 该程序实现了数据仓库与挖掘中神经网络算法中的bayes算法-The program bayes algorithm in neural network algorithm for data warehousing and mining Platform: |
Size: 248832 |
Author:zlm |
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Description: 以Java为程序设计语言，运用强大的JDK工具包，在Eclipse3.2的平台上，以基因数据为研究对象，设计出一款基于人工神经网络数据挖掘的生物信息分析软件。根据基因数据结构，对基因序列的碱基进行编码变换；用户则根据自己的需求通过人机交互界面来自定义网络某些参数，将样本基因数据传入到神经网络当中，继而进行有限次迭代处理，不断调整分布处理单元的连接强度。最后将目标基因数据输入到已经锻炼好的网络中，来对目标基因的未知序列进行预测。运行结果：软件能够无误的运行，且能够较好的对基因序列进行预测。-A Java programming language, the use of powerful JDK toolkit in Eclipse3.2 platform to genetic data for the study, design an artificial neural network-based data mining bioinformatics analysis software. According to genetic data structure, the nucleotide sequences encoding conversion users are according to their needs through the interactive interface to customize the network certain parameters, the sample passed to the neural network genetic data which in turn deal with finite iterations , constantly adjusting the connection strength distribution processing unit. Finally enter data into the target gene has a good workout in the network to the target gene sequence to predict unknown. The result: software to run correctly, and can better prediction of gene sequences. Platform: |
Size: 12288 |
Author:yoyo |
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Description: matlab中关于神经元网络的工具箱
对于数据挖掘者很有帮助。尤其是哪些
初次接触神经元网络的-About the matlab neural network toolbox for data mining helpful. In particular, what are the initial contact with neural network Platform: |
Size: 3507200 |
Author:hualei |
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Description: 《数据挖掘技术:应用于市场营销、销售与客户关系管理(第3版)》的主题包括：如何创建稳定、持久的预测模型；数据准备和变量选择；用诸如回归、决策树、神经网络、基于记忆的推理之类的有指导技术来建模特定目标；用诸如聚类、关联规则和链接分析之类的无指导技术来发现模式；建模业务的事件发生时间问题，如下一次购买时间和预期的剩余生存期等；挖掘非结构化文本("Data mining techniques used in marketing, sales and customer relationship management (Third Edition)" themes include: the prediction model of how to create a stable and lasting; choice of data preparation and variables; such as regression, decision tree, neural network, memory based reasoning class guidance technology to build models of goals; such as clustering and association rules and link analysis techniques to find such unsupervised model; modeling of business events, following a purchase time and expected residual lifetime; unstructured text mining) Platform: |
Size: 65340416 |
Author:刀刀2010
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