data mining book

Data mining is one of the most exciting new features of SQL Server . I view data mining as a process that automates the analysis of data to obtain relevant information, and data mining

A data warehouse can be used as a data source for data mining, OLAP, and other analysis tools. Because the data stored in a data warehouse must be filtered and converted, the wrong data

Reprint: http://www.cnblogs.com/zhijianliutang/p/4050931.htmlObjectiveThis article continues our Microsoft Mining Series algorithm Summary, the previous articles have been related to the main algorithm to do a detailed introduction, I for the convenience of display, specially organized a directory outline: Big Data era: Easy to learn Microsoft Data

How can we fully understand "Data Mining "? What is the theoretical basis of "data mining? Figure 1 shows:In reality, human social and economic activities can always be described and recorded using data (numbers or symbols). After analyzing these

Data | Database with the development of database technology and the extensive application of database management system, the amount of data stored in the database has increased dramatically, and many important information is hidden behind a large amount of data, if the information can be extracted from the database, it will create many potential profits for the c

predictable, the algorithm generates a separate decision tree for each predictable column.The principle of the algorithm:The Microsoft decision tree algorithm generates a data mining model by creating a series of splits in the tree. These splits are represented as "nodes". Whenever an input column is found to be closely related to a predictable column, the algorithm adds a node to the model. The algorithm

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

Label: style blog HTTP Io use AR for strong File In the previous article, we roughly introduced some knowledge about data mining. Let's talk about the data problems in data mining. There is no doubt that in data

Data mining is a kind of technology, it combines the traditional data analysis method with the complex algorithm of processing large amount of data, in a large database, the process of discovering the useful information automatically, also has the ability to predict the future observation result. The

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. The previous article describes how to use DMX to create a mining model. This article describes how to create a

Data mining will not work unless you are using data that meets specific criteria. The following sections describe some of the issues that deserve your attention in the data and their applications. Whether the data is available. This may seem like a very obvious problem, but

1. Problems with raw data: inconsistency, duplication, noise, and high dimension. 2. data preprocessing includes data cleansing, data integration, data transformation, and data reduction methods. 3. Principles of

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?" "Y

Tags: article vs2008 reg knowledge View HTM new research will notObjective This article continues our Microsoft Mining Series algorithm Summary, the previous articles have been related to the main algorithm to do a detailed introduction, I for the convenience of display, specially organized a directory outline: Big Data era: Easy to learn Microsoft Data

Absrtact: Customer relationship Management is not only a kind of management concept, but also a new management mechanism to improve the relationship between enterprises and customers, as well as a kind of management software and technology. Data mining can predict future trends and behaviors, and thus support people's decision-making well. The success of CRM lies in the successful