weka data mining tool

Principles of data mining and actual combat: Link: http://pan.baidu.com/s/1qWFNuPm Password: oa4nPlease add qq:3113533060 if the net disk is invalid.1th Week Data Analysis basicsKey points data analysis process, methodology (PEST, 5W2H, logical tree), basic data analysis met

Data Mining (DW) is a very important part of business intelligence (BI) all week. What is the data mining in the end, this article will explore this. People often encounter this situation in their daily lives: supermarket operators want to be often bought together by the goods in order to increase sales; Insurance com

, need to also be able to connect with SQL, do machine learning, many times the data is from the Internet crawler collection, Python has urllib module, can be very simple to complete this work, sometimes crawlers collect data to deal with some site verification code, Python has PIL module, can be easily identified, if need to do neural network, genetic algorithm, scipy can also do this work, there are decis

Label:Recover Data from Oracle database partitioned tables using Oracle Dul Data Recovery Tool Create a Sales Partition table case CREATE TABLE SALES ( product_id VARCHAR2 (5), sales_date DATE, sales_cost number, STATUS VARCHAR2 () PARTITION by RANGE (sales_date) subpartition by LIST (STATUS) subpartition TEMPLATE ( subpartition SUB1

Yunshan's staff can fully develop external interfaces, Wu Yan put his main energy into data mining, continue to study how to apply algorithms in WEKA to your project. Half a month later, Wu Yan implemented algorithms such as naive Bayes, demo-tree, and association rule, and found application scenarios in the project, for example, Naive Bayes is suitable for Pred

we'll let you know later. 3, different regions of the sales law is consistent. That is to say, is the same sales strategy .... Which marketing strategy is more suitable for that type of product? Whether the sales between the various products will have an impact, there is no joint sales. is not suitable for us to do bundled sales. These are the problems we can solve through the Microsoft Time Series algorithm, which is the application of the algorithm scenario, gossip less, we enter the topic of

If you have a shopping website, how do you recommend products to your customers? This function is available on many e-commerce websites. You can easily build similar functions through the data mining feature of SQL Server Analysis Services. It is divided into three parts to demonstrate how to implement this function. 1. Build a Mining Model 2. Compile service in

QQ Exchange Group: 127591054Jackchiang qq:595696297 welcome everyone to exchange. Author Experience: July 17 just graduated child ~~16 internship at the end of the year to do DBA, Midway has changed, want to data mining as their long-term career, that is, career planning positioning: data mining. Prefer to do

. Although these methods may provide some benefits, they will become impractical for the following two reasons: first, they require developers to spend time learning a query language that cannot be used in other cases. Second, they are not robust enough to handle inevitable simple changes to the target Web page. In this article, we will discuss a web-based data mining method developed using standard web te

Automatic clustering of a series of articles can be used as the basis of the content-based recommendation engine. To achieve automatic text clustering, first perform word segmentation based on the articles described in Series 5, then, the term vector representation of the article is calculated, that is, the TF * IDF corresponding to each different word in the article is obtained. The specific calculation method is shown in Figure 5. Currently, KMean is the most widely used text automatic cluster