The latest data mining capabilities in Microsoft SSAs are required in a project, although the data mining capabilities in SSAS have never been understood in the past when projects were often used in the SSAS cube (that is, Cube). So through the project demand this Dongfeng recently learned the next
I. Keywords
1. DM (data mining), DW (data warehouse), OLAP, Bi
2. Databases have become the basis of the system for collecting and distributing information. The purpose of data collection is to make correct decisions based on the database content. The deep hiding of these massive d
Label:Extract the contents of the tables and LOB fields in the database files in the damaged disk by using the Oracle Dul tool In a 8i library recovery, as hard disk damage caused a number of tables to have a lot of paradoxical bad blocks, trying to use Dul to mine data, when using Dul 9 encountered a problem: when a table has a lob type, but also has a varchar2 type, and VARCHAR2 type data contains the ENT
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/4076587.htmlThis is the last article of the Microsoft Series Mining algorithm, after the completion of this article, Microsoft in Business intelligence this piece of the series of mining algorithms we have completed, this series covers the Microsoft in Business Intelligence (BI) module system can provide all the mining
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
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
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
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
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
Project homepage:
Http://code.google.com/p/python-data-mining-platform/ (may need to flip)
Tutorial and other content have been added to the googlecode. You can view it in the Wiki.
Project Introduction (copied from the project homepage ):
This is a matrix that can be represented in CSV format or a Chinese document based on the source data.AlgorithmA platform to get results.
Algorithms can run
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 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
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
Tags: Data Mining Machine Learning Visual Data Warehouse database Currently, popular technologies such as big data and cloud computing are widely used by domestic Internet giants such as Baidu and Alibaba. Data Mining is a very p
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
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
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
Data
With the development of database technology and the wide application of database management system, the amount of data stored in the database has increased dramatically, and there is a lot of data hiding behind it.
Important information, if you can extract this information from the database, will create a lot of potential profits for the company, and this
The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion;
products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the
content of the page makes you feel confusing, please write us an email, we will handle the problem
within 5 days after receiving your email.
If you find any instances of plagiarism from the community, please send an email to:
info-contact@alibabacloud.com
and provide relevant evidence. A staff member will contact you within 5 working days.