stratum mining

　The first: First is how we find out the chain of resources, then here I introduce three methods. 1, is the peer site outside the chain of the chain of mining methods. 2, search the instructions of the mining method. 3, online collection of mining methods. Then we will give you a detailed interpretation of these three methods. 1, is the peer site outside the

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，再利用这个Model来对数据库的其它数据或是新的数据作分类预测。 Clustering用在将数

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 Mining toolsConsulting qq:1840215592Course IntroductionThis cour

Reprint: http://www.cnblogs.com/zhijianliutang/p/4021799.htmlObjectiveThis article is also the continuation of the Microsoft Series Mining algorithm Summary, the first few mainly based on state discrete values or continuous values for speculation and prediction, the algorithm used mainly three kinds: Microsoft Decision tree Analysis algorithm, Microsoft Clustering algorithm, Microsoft Naive Bayes algorithm , of course, followed by a summary of the res

Mining Station on the SeaTime limit:5000/1000 MS (java/others) Memory limit:32768/32768 K (java/others)Total submission (s): 2572 Accepted Submission (s): 775Problem DescriptionThe Ocean is a treasure house of resources and the development of human society comes to depend D more on it. In order to develop and utilize marine resources, it's necessary to build mining stations on the sea. However, due to sea

When it comes to data mining, we tend to focus on algorithms during modeling while ignoring other steps. In real world data mining projects, other steps are the key to determining project success or failure. Guide to intelligent data analysis is the book recommended by the knime official website (http://tech.knime.org/guide-to-intelligent-data-analysis), according to the CRISP-DM process describes the proce

------------------------------------------------------------------------------------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" classification of other articles, not regularly upda

Reference:http://www.52nlp.cn/python-%e7%bd%91%e9%a1%b5%e7%88%ac%e8%99%ab-%e6%96%87%e6%9c%ac%e5%a4%84%e7%90%86 -%e7%a7%91%e5%ad%a6%e8%ae%a1%e7%ae%97-%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0-%e6%95%b0%e6%8d%ae%e6%8c%96%e6%8e% 98A Python web crawler toolsetA real project must start with getting the data. Regardless of the text processing, machine learning and data mining, all need data, in addition to through some channels to buy or download professional da

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 main data mining tasks Most data-

Gain more value from unstructured information. Study how a simple text mining application uses the UIMA SDK to build a text analysis engine to look for names in a document. Another UIMA component then writes the result to a table in the db2® database. This data is then used to use DB2 intelligent Miner to find strong associations between people who are often mentioned in the document. Brief introduction There is a growing desire to use information t

The international authoritative academic organization theieeeinternationalconferenceondatamining (ICDM) selected ten classical algorithms in the field of data mining in December 2006: C4.5,k-means,svm,apriori,em , Pagerank,adaboost,knn,naivebayes,andcart.Not only the top ten algorithms selected, in fact, participate in the selection of the 18 algorithms, in fact, casually come up with a kind of can be called Classic algorithm, they in the field of dat

Oracle Video Tutorial Goals Oracle Video tutorial, wind Brother this set of Oracle Tutorial Training learning Oracle Database Logminer related concepts and use of detailed, Logminer use the source database data dictionary analysis, extract Logminer dictionary to the dictionary file to analyze, Logminer How to view log analysis results, Logminer log Mining cases-analyze the cause of data loss in production system tables, recover table data loss caused

This article is mainly to continue the previous Microsoft Decision tree Analysis algorithm, the use of another analysis algorithm for the target customer group mining, the same use of Microsoft case data for a brief summary.Application Scenario IntroductionIn the previous article, we used the Microsoft Decision tree Analysis algorithm to analyze the customer attributes in the orders that have taken place, and we can get some important information, her

Brief introduction What is data mining? You will ask yourself this question from time to again, because this topic is getting more and more attention from the technical circles. You may have heard that companies like Google and Yahoo! are generating billions of of data points about all their users, and you wonder, "What do they want all this information for?" "You may also be surprised to find that Walmart is one of the most advanced companies to con

Introduction to Mining The term mining is derived from the analogy between cryptocurrency and gold. Gold or precious metals are rare, and electronic tokens are also the only way to increase the total is to dig mine. So is Ethereum, and the only way to release it is to dig mine. But unlike other examples, mining is also a way to protect the network by creating, v

I have been doing data mining for some years. in this article, I wrote an article to give a friend a reference for data mining. on the other hand, it is also helpful, I hope that I can communicate with some of the experts and promote each other to make everyone laugh. Getting started: Books on data mining, which cover Chinese: JiaweiHan's data

1. Data analysis and data mining linkages and differencesContact: are engaged in data differences: data analysis of the statistical, visualization, reporting and reporting, the need for strong expression ability. The data mining partial algorithm, the heavy model, needs the very deep Code Foundation, wants the code code, many = =. 2. How to get started please Baidu "How to become a data analyst" or "How to

Data Mining is effective, novel, and potentially useful from massive, incomplete, noisy, fuzzy, and random data sets, and the extraordinary process of an understandable model. It is a wide range of cross-discipline, including Machine Learning , Mathematical Statistics , Neural Network , Database , Pattern Recognition , Rough Set , Fuzzy Mathematics And other related technologies. Because data mining