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: 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: This paper explores basic aspects of the immune system and proposes a novel immune
network model with the main goals of clustering and filtering redundant data from
problems described by a set of discrete samples. It is not our concern to reproduce with
confidence any immune phenomenon, but to show that immune concepts can be used to
develop novel computational tools for data processing. As important results of our
model, the network evolved will be capable of reducing redundancy, describing data
structure, shapes and their cluster inter-relations. The data clustering approach will be
will be implemented in association with a statistical technique, and the network
performance will be illustrated using two benchmark problems. The paper is concluded
with a trade-off between the proposed network and artificial neural networks. Platform: |
Size: 91136 |
Author:namareq |
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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: 《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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