What is the most common software of data mining? 1 Orange? 2 Weka? 3 Apache mahout? 4 Rapidminer? 5 R? and which one? If you have any explanation about the topic, I appreciate it.…

Data mining is the process of finding patterns in a given data set. These patterns can often provide meaningful and insightful data to whoever is interested in that data. Data mining is used today in a wide variety of contexts – in fraud detection, a…

前言:工欲善其事,必先利其器.倘若不懂得构建一套大数据挖掘环境,何来谈Data Mining!何来领悟“Data Mining Engineer”中的工程二字!也仅仅是在做数据分析相关的事罢了!此文来自于笔者在实践项目开发中的记录,真心希望日后成为所有进入大数据领域挖掘工程师们的良心参考资料.下面是它的一些说明: 它是部署在Windows环境,在项目的实践开发过程中,你将通过它去完成与集群的交互,测试和发布: 你可以部署成使用MapReduce框架,而本文主要优先采用Spark版本: 于你而言,…

官方网站: Weka 3: Data Mining Software in Java 相关使用方法博客 WEKA使用教程(经典教程转载) (实例数据:bank-data.csv) Weka初步一.二.三.四 使用Weka进行数据挖掘 一个小时速度入门数据挖掘WEKA(一个完整的小例子) 百度文库 WEKA中文详细教程(全) WEKA 3-5-3 Experimenter 指南 数据挖掘工具(weka教程)   基本概念 classify分类     cluster聚类     Associate…

格式化namenode时报错警告:WARN common.Util: Path /data/dfs/name should be specified as a URI in configuration 一.问题分析 在执行hadoop namenode格式化命令:bin/hadoop namenode -format时出现警告: WARN common.Util: Path /data/dfs/name should be specified as a URI in configuration…

Problems[show] Classification Clustering Regression Anomaly detection Association rules Reinforcement learning Structured prediction Feature engineering Feature learning Online learning Semi-supervised learning Unsupervised learning Learning to rank…

Abstract The content of the web has increasingly become a focus for academic research. Computer programs are needed in order to conduct any large-scale processing of web pages, requiring the use of a web crawler at some stage in order to fetch the pa…

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原文: Wu X, Zhu X, Wu G Q, et al. Data mining with big data[J]. IEEE transactions on knowledge and data engineering, 2013, 26(1): 97-107. 大数据中的数据挖掘 Xindong Wu, Fellow, IEEE, Xingquan Zhu, Senior Member, IEEE, Gong-Qing Wu, and Wei Ding, Senior Member,…

Course textbooks Text 1: M. T. Oszu and P. Valduriez, Principles of Distributed Database Systems, 2nd ed., Prentice-Hall, 1999.Errata Text 2: J. Han and M. Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann, 2000.Errata Lecture Schedule Th…