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Author of basic information of "Data Mining and data-based operation practice: ideas, methods, skills and Applications": luhui series name: Big Data Technology series Press: Machinery Industry Press ISBN: 9787111426509 Release Date: 276-6-4 published on: July 4,: 16 webpage: 1-1: more about computers: Data Mining and data-based operation practices: overview of ideas, methods, techniques, and applications: D

Association rule mining algorithms:The so-called Association Rule mainly refers to the concurrency relationship in the index data. The most typical application is the analysis of the shopping basket. It is found that all dads buy beer when they buy diapers.Association Rule Mining has some confusing terms, see http://blog.sina.com.cn/s/blog_4d8d6303010009kb.html, there are two important concepts: support and

Machine learning and Data Mining recommendation book listWith these books, no longer worry about the class no sister paper should do. Take your time, learn, and uncover the mystery of machine learning and data mining. machine learning Combat " : The first part of this book mainly introduces the basis of machine learning, and how to use the algorithm to classify, and gradually introduced a variety of classi

A preliminary study of data mining in the "Bi Thing"What is data mining? Data Mining, also known as Information Discovery (Knowledge Discovery), is the use of automated or semi-automated methods to find potentially valuable information and rules in the data. Data mining technology originates from database,

web|xml| data Web-oriented data miningThere 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 hidden regularity of data from a large number of data, and to solve the problem of application quality. The most important application of data

Original: (original) Big Data era: a summary of knowledge points based on Microsoft Case Database Data Mining (Microsoft Naive Bayes algorithm)This article is mainly to continue on the two Microsoft Decision Tree Analysis algorithm and Microsoft Clustering algorithm, the use of a more simple analysis algorithm for the target customer group mining, the same use of Microsoft case data for a brief summary. Int

1) A definition of data miningis a business process that detects significant patterns and rules by probing large amounts of data.Data mining is a kind of business process, which takes the large amount of data generated by other business processes as input, generally collects, cleans, collates, identifies, analyzes and measures, and obtains some meaningful patterns or rules as output. This output, in turn, can provide metrics, judgments, and forecasts

Absrtact: Data mining, as an information technology which extracts knowledge from massive data, has aroused wide attention of both domestic and foreign academia and industry, and its successful application in business has enabled software developers to develop new data mining tools and improve existing data mining tools, which is a dazzling collection of data

Summary of 18 Classic data mining algorithmsAll the data mining code involved in this article has been put on my github.Address Link: https://github.com/linyiqun/DataMiningAlgorithmIt took about 2 months to learn the classic algorithm of 18 big data mining and implement the code, which involves decision classification, clustering, link

Data mining technology is the automatic or semi-automated method of mining and analysis of a large number of data to create effective models and rules, and enterprises through data mining can better understand their customers, and thus improve their marketing, business and customer service operations. Data mining is an

pl1936-Big Data Fast Data mining platform RapidMiner data analysisEssay background: In a lot of times, many of the early friends will ask me: I am from other languages transferred to the development of the program, there are some basic information to learn from us, your frame feel too big, I hope to have a gradual tutorial or video to learn just fine. For learning difficulties do not know how to improve themselves can be added: 1225462853 to communica

How Data Mining solves problems This section describes how to solve business problems through data mining through several actual data mining cases. The story about "beer and diapers" in Section 2.1.1 is the most classic case in data mining. Target's use of the pregnancy prediction index to predict whether a female is p