Description: k-means(欧氏距离)聚类算法是最基本的聚类算法，是理解和应用聚类算法的基础，通过k-means(欧氏距离)聚类算法我们才可以初步了解数据挖掘的原理。-k-means (Euclidean distance) clustering algorithm is the most basic clustering algorithm, is understanding and the basis for the application of clustering algorithm, through the k-means (Euclidean distance) clustering algorithm we are able to a preliminary understanding of the principles of data mining . Platform: |
Size: 276480 |
Author:徐加子 |
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Description: 模糊分类是目前比较流行的用于数据挖掘的分类算法，而Fanny是其中一种基于FCM算法,用于实现模糊分类的应用程序-Fuzzy clustering is a popular method for data clustering and classification in data mining, Fanny program realizes one of FCM algorithms, to achieve the application of fuzzy clustering Platform: |
Size: 11264 |
Author:林文 |
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Description: 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,an concept of data mining and a research into the technical approach and fields of application of data mining.Based on the present research work,this paper is devoted to the idea of presenting the segregation amount by using the whole amount.Integral square is adopted to indicated the distance between two units.And the above-stated method is used to analyze the students data.And some useful information is thus obtained.So it is instructive to teaching at colleges. Platform: |
Size: 1973248 |
Author:yunzhang |
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Description: the book introduces the basic and the application for the data mining and warehousing it is important for the data mining people Platform: |
Size: 9832448 |
Author:MOFREH |
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Description: 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。 本书收集众多不同领域中数据挖掘的实际案例，以此来说明数据挖掘的具体解决方法，以期为广大读者提供一个更为广阔的数据挖掘应用视角。 本书的读者，可以是任何对机器学习与数据挖掘感兴趣的工程技术人员、业务管理人员，或是从事具体技术工作的其他人员。本书也可作为大专院校相关课程的重要辅导教材。-The book is divided into five parts, 18 chapters, more comprehensive introduction to the basic concepts of machine learning and discussed the Data Mining and Knowledge Discovery of the problem and multi-strategy learning methods, specifically on Machine Learning and Data Mining in engineering design, text, images and music, web analytics, computer viruses and computer control, medical diagnostics, biomedical signal analysis and water quality analysis in the areas of biological signal processing application. The book collection of many different areas of data mining in the actual case, in order to explain the specific data mining solution, with a view to providing readers with a broader perspective of data mining applications. The book s readers, can be any of the machine learning and data mining of interest to engineers, business managers, to engage in specific technologies or other staff. The book can also be used as the important institutions related courses supplementary teaching ma Platform: |
Size: 12882944 |
Author:许兴明 |
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Description: 机器学习这门学科研究的是能通过经验自动改进的计算机算法，其应用从数据挖掘程序到信息过滤系统，再到自动机工具，已经非常丰富。机器学习从很多学科吸收了成果和概念，包括人工智能、概论论与数理统计、哲学、信息论、生物学、认知科学和控制论等，并以此来理解问题的背景、算法和算法中的隐含假定。-Machine learning is the study of the discipline automatically improve through experience, the computer algorithm, its application from the data mining procedures to information filtering systems, to the automated machine tools, has been very rich. Machine learning from many disciplines to absorb the results and concepts, including artificial intelligence, Introduction to theory and mathematical statistics, philosophy, information theory, biology, cognitive science and cybernetics, etc., and in order to understand the background, algorithms, and algorithm implicit assumptions. Platform: |
Size: 616448 |
Author:徐荣 |
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Description: 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 Platform: |
Size: 42403840 |
Author:wangdq |
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Description: 本书是一本全面介绍数据挖掘和知识发现技术的专业书籍，它系统地阐述了数据挖掘和知识发现技术的产生、发展、应用以及相关概念、原理和算法，对数据挖掘中的主要技术分支，包括关联规则、分类、聚类、序列、空间以及web挖掘等进行了理沦剖析和算法描述。本书的许多内容是作者们在攻读博士学位期间的工作总结，一方面，对于相关概念和技术的阐述尽量先从理论分析人手，在此基础上进行技术归纳；另一方面，为了保证技术的系统性，所有的挖掘模型和算法描述都在统一的技术归纳框架下进行。同时，为了避免抽象算法描述给读者带来的理解困难，本书的所有典型算法都通过具体跟踪执行实例来进一步说明。-This book is a comprehensive description of data mining and knowledge discovery technology, professional books, which systematically describes data mining and knowledge discovery technology generation, development, application and related concepts, principles and algorithms for data mining in the branch of the main techniques , including association rules, classification, clustering, sequence, space and web mining conducted a reasonable analysis and algorithms described perish. Much of this book is the authors stated in their summary of the work during a PhD, on the one hand, for the elaboration of related concepts and techniques starting with theoretical analysis as manpower, in this based on technical induction the other hand, in order to ensure technology systematic, all the mining models and algorithms described are summarized in a unified technology framework. Meanwhile, in order to avoid the abstract description of the algorithm to the readers understanding of the difficulties, Platform: |
Size: 10801152 |
Author:小颖 |
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Description: 数据挖掘在SQLServer2005中的应用,感兴趣的可以研究一下，数据挖掘在2005中的很强大的一个功能-Data Mining in SQLServer2005 application, interested can look at data mining in 2005, a very strong function of Platform: |
Size: 40960 |
Author:will |
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Description: 数据挖掘资料：关联规则和聚类分析在个性化推荐中的应用-Data mining: association rules and clustering analysis in the application of personalized recommendation Platform: |
Size: 195584 |
Author:郑程博 |
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Description: 数据挖掘资料：关联规则算法在Web个性化服务中的研究与应用-Data Mining Data: Association Rules in Web personalization services in research and application Platform: |
Size: 96256 |
Author:郑程博 |
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Description: ：本文介绍了基于虚拟杖器的教据采集系统的开发。探讨了数据采集卡设置的两种方法。详细介绍了在前面板中完成交
互式设置的关链技术．快速vi转换成普通vi的方法．并培出了关键模块的实现方法。结果表明所设计的数据采皋系统可适
用于高速多路多种信号数格采集、数据分析的应用场夸，是一种比较理想的实时敷据采集方案。-: This article describes the teaching based on the virtual rod device according Acquisition System. Set of data acquisition card two ways. Details of the front panel, set off to complete chain of interactive technology. Vi quick way to convert ordinary vi. And culture out of key modules method. The results show that the design of data mining Gao system is suitable for a variety of high-speed multiple number of cell signal acquisition, data analysis, application field boast, it is an ideal real-time deposition, data collection program. Platform: |
Size: 402432 |
Author:姚木 |
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Description: oracle相关于数据仓库的理念，操作，和各种相关知识。
数据挖掘技术在零售业CRM中的应用研究.pdf-oracle data warehouse related to the concept, operation, and a variety of related knowledge. Data Mining in CRM in the retail application. Pdf Platform: |
Size: 3319808 |
Author:张巍 |
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Description: 贝叶斯网络结构学习及其在数据挖掘中的应用研究 一篇非常不错的博士论文-Bayesian Network Structure Learning and Its Application in Data Mining of a very good dissertation Platform: |
Size: 4829184 |
Author:skm |
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Description: hallenge to the use of supervised neural networks in data mining applications
is to get explicit knowledge from these models. For this purpose, a clustering genetic algorithm
for rule extraction from artiÞ cial neural networks is developed. The methodology is based on the
clustering of the hidden unit activation values. A simple encoding scheme that yields to constant-
length chromosomes is used, thus allowing the application of the standard genetic operators. Besides,
a consistent algorithm to avoid some of the drawbacks of this kind of representation is also developed.
The individual Þ tness is determined b Platform: |
Size: 348160 |
Author:asad |
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Description: 《实用数据挖掘》
本书对面向应用的数据挖掘方法进行了清晰的阐述，包括经典的多元统计方法、贝叶斯多元统计方法、基于机器学习的数据挖掘方法和基于计算的数据挖掘方法等。介绍了数据挖掘领域中许多最新的研究成果，如关联规则、序列规则、图示马尔可夫模型、基于存储的推理、信用风险和Web挖掘等。并详细介绍了选自实际工业项目的6个应用实例，强调了数据挖掘方法的实用性。 本书主要面向计算机科学、信息管理、应用统计学和经济学等专业的高年级本科生和研究生。对实际从事海量数据分析和处理的技术人员也有很好的指导作用和参考价值。 -Application-oriented book on data mining methods were clearly described, including the classic multivariate statistical methods, Bayesian multivariate statistical methods, data mining based on machine learning methods and calculations based on data mining methods. The field of data mining are introduced many of the latest research results, such as association rules, sequence rules, icons, Markov model, based on the storage of reasoning, credit risk, and Web mining. And gave details of the actual industrial projects selected from the six examples, emphasizing the usefulness of data mining methods. Book is mainly for computer science, information management, applied statistics and economics, and other professional undergraduate and graduate students. Actually engaged in massive data for analysis and processing of the technical staff are also very good guidance and reference value.
Platform: |
Size: 13325312 |
Author:showna |
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Description: 本文首先介绍了粗糙集理论的基本概念，包括等价关系、不可分辨关系、上下近似、粗糙集和简约；并且从空间数据挖掘、遥感影像处理、GIS 不确定性、GIS 数据分析、模糊地理对象建模和粗糙集与其它软计算方法的结合等六方面概述了粗糙集理论在GIS 数据处理中应用的进展-This paper introduces the basic concepts of rough set theory, including the equivalence relation, can not distinguish between lower and upper approximation, Rough sets and simple and from spatial data mining, remote sensing image processing, GIS uncertainty, GIS data analysis, fuzzy geographical objects Modeling and rough sets and other soft computing methods outlined six aspects such as the combination of rough set theory in GIS progress in the application of data processing Platform: |
Size: 376832 |
Author:胡伟 |
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Description: 本文首先介绍了粗糙集理论的基本概念，包括等价关系、不可分辨关系、上下近似、粗糙集和简约；并且从空间数据挖掘、遥感影像处理、GIS 不确定性、GIS 数据分析、模糊地理对象建模和粗糙集与其它软计算方法的结合等六方面概述了粗糙集理论在GIS 数据处理中应用的进展-This paper introduces the basic concepts of rough set theory, including the equivalence relation, can not distinguish between lower and upper approximation, Rough sets and simple and from spatial data mining, remote sensing image processing, GIS uncertainty, GIS data analysis, fuzzy geographical objects Modeling and rough sets and other soft computing methods outlined six aspects such as the combination of rough set theory in GIS progress in the application of data processing Platform: |
Size: 395264 |
Author:胡伟 |
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