data mining with rattle and r

Http://archive.ics.uci.edu/ml/machine-learning-databases/statlog/heart/ This data is often used as an example of data mining. This database contains 13 attributes (which have been extracted fromA larger set of 75) Attribute Information:-------------------------- 1. Age-- 2. Sex gender-- 3. Chest pain type (4 values) chest pain type-- 4. resting blood pressure s

The predictions mainly include classification-dividing the sample into one of several predefined classes, regression-mapping the Crown Proxy network sample to a real-valued predictor variable; The description mainly includes clustering-dividing the sample into different classes (no predefined classes), and association rule Discovery-discovering the correlations of the different features in the dataset. Other articles in this series will explain these work in depth, if the reader is the first to

Although I have finished data mining, I have to really ask myself how much I know about DM, but I cannot answer anything! A few days before the test, I started to read the Chinese version. To tell the truth, the original English teaching material looks really hard. Even if your English level is high enough, is your computer professional level high enough? They are not high, so reading tianshu is a concep

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Hadoop mahout Data Mining Practice (algorithm analysis, Project combat, Chinese word segmentation technology)Suitable for people: advancedNumber of lessons: 17 hoursUsing the technology: MapReduce parallel word breaker MahoutProjects involved: Hadoop Integrated Combat-text mining project mahout Data

Data Mining可分为三大类六分项来说明： Classification和Clustering属于分类区隔类； Regression和Time-series属于推算预测类； Association和Sequence则属于序列规则类。 Classification是根据一些变量的数值做计算，再依照结果作分类。（计算的结果最后会被分类为几个少数的离散数值，例如将一组数据分为"可能会响应"或是"可能不会响应"两类）。Classification常被用来处理如前所述之邮寄对象筛选的问题。我们会用一些根据历史经验已经分类好的数据来研究它们的特征，然后再根据这些特征对其他未经分类或是新的数据做预测。这些我们用来寻找特征的已分类数据可能是来自我们的现有的客户数据，或是将一个完整数据库做部份取样，再经由实际的运作来测试；譬如利用一个大型邮寄对象数据库的部份取样来建立一个Classification Model，再利用

It's been years since I last ventured to answer "How to choose Data Mining Tools". This article mainly elaborates the following two core viewpoints: 1. There is no best tool, or rather, the best tool for everyone. 2. The most useful tools are those that can meet the vast majority of data mining tasks you need. The m

Learning GoalsLearn more about the third Teddy Cup college students ' data Mining contest questions (based on the consumer demand and product data mining analysis of the electronic commerce platform, the analysis and forecast model of the city's financial revenue, and the modeling and control of the coagulation dosing

From: http://xccds1977.blogspot.com/2012/03/blog-post_14.html Link: http://www.discoverycorpsinc.com/interviewing-data-miners-and-m/ The data mining field is a unique industry, and the general recruitment interview method may not be suitable for the characteristics of this industry. When recruiting a Qualified Data

------------------------------------------------------------------------------------Welcome reprint, please attach the linkhttp://blog.csdn.net/iemyxie/article/details/40736773------------------------------------------------------------------------------------The algorithms in this paper only summarize the core idea. Detailed implementation details refer to this blog "Data Mining Algorithm learning" classif

In today's big data era, data is money. With the transition to an application-based domain, data shows exponential growth. However, 80% of the data is unstructured, so it requires a program and method to extract useful information and convert it into an understandable and available structured form. A large number

Web-oriented data mining There is a large amount of data information on the Web, and how to apply these data to complex applications has become a hot research topic in modern database technology. Data mining is to find out the hi

Enterprise Development CRM, the goal is two aspects, one is to help marketing staff manage their own sales process, the second is from customer data analysis of mining service development direction. The latter is the most important ... Faced with brutal market competition, all enterprises are sparing no effort to win new customers. However, the existing old customers also contain huge business opportunitie

{String file = "D:/jars/weka-src/data/contact-lenses.txt"; int labelstateindex = 0; The target attribute is located under the subscript int maxbranches=2; Maximum number of branches double minsupport = 0.13; Minimum support double minconfidence=0.01;//minimum confidence (used in Weka is minimprovement) hotspot hs = new hotspot (); Hsnode root = Hs.run (file,labelstateindex,maxbranches,minsupport,minconfidence); System.out.println ("\ nthe rule tree a

Introduction Data mining software IBM SPSS Modeler is known for its user-friendly, visually powerful features. There are few references to its scripting features. The author believes that the scripting function is actually designed to automate the process of data processing and analysis modeling. In scenarios where data