Application of multithreading technology in Real-time Data Collection and Analysis
[Date: 2008-7-23]
Source: China Power Grid Author: He Jia, College of Automation Engineering, University of electronic science and technology, Li Wang houjun
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Introduction A digital interface device is a dedicated communication device that converts a standard 422 seria
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 determines how the split is divided, primaril
(such as young, middle-aged, or old. In this form of data reduction, we will discuss the use of data discretization technology, where numerical data will automatically generate a conceptual hierarchy.
Why data preprocessing?
Imagine that you are the manager of allelectronics, responsible for analyzing the company sa
Often have friends ask the author, SEO How to get started, the author is accustomed to say will send outside the chain, will change friendship has already counted the entry-level SEO, certainly have a friend will ask how can become SEO master? Today we will tell you some of those high-level SEO is good at the site data analysis. The author also found on the Web site dat
Data mining and analysis can be said to be the fastest-growing technology in the field of information, many different fields of experts have gained the space for development, making data mining become a hot topic of discussion in the business community.With the development of information technology, people collect data
During the game operation, we can see a bunch of game-related data in the background, how do we deal with this data? A detailed analysis will be done around a report instance. The content mainly includes the analysis goal, the analysis summary, the week operation
Transferred from: http://www.tipdm.org/ganhuofenxiang/1026.jhtmlData quality analysis is an important part of data mining, and the wrong assumptions and bad data problems are the important reasons that result in the deviation of data mining results. Data mining practitioners
, or cube, is the basis of data for immediate analysis. The data business package is created by the Data Administrator, which contains all the business data tables, datasets, interface data, text
Background data analysis I think for most of the webmaster is more dislike, because the face of a bunch of cold data, I think a lot of people will feel boring. However, the optimization can not be separated from the data analysis, only the ability to master the
1, b/s data source configurationStart the Web server (FR project is deployed under the Web server, the port number is the corresponding Web server port number, such as Tomcat, the port number is 8080, if not deployed, the port number is FR built-in server port number 8075, the following is the case of Tomcat), Login data decision system with Administrator account Op=fs, after successful landing, click Manag
Programmers who do not understand data analysis are not good product managers.
I have previously written an article on traffic acquisition, which mentions that data analysis plays a crucial role in improving revenue, the first job I had the honor to do after graduation was related to
Data analysis by "demonization" (Abstract)
| Font size subscriptionWhy is Data Analysis "demonized" because new users always think that data analysis is extremely complicated and highly technical. They are always concerned about s
Python's application in Finance, data analysis, and artificial intelligencePython has recently achieved such success, and the future seems likely to continue, for many reasons. This includes its syntax, the scientific ecosystem and data Analysis library available to Python developers, ease of integration with almost al
The most praised dimensionality reduction methods in the seven data analysis fieldsThanks to Wang Murong for his contributions to the Community of the leagueRecently, due to the rapid growth of data records and attribute scale, Big Data processing platform and parallel data
According to the author's press: This article is based on the materials presented at the "Big Data Technology Conference" held by csdn in September, and was originally published in the issue of "programmer" magazine. 1. History
R (r development core team, 2011) was developed by Ross ihaka and Robert gentleman at the University of Auckland, New Zealand. Their lexical and syntax are derived from scheme and S languages, respectively, the r language is ge
Source: Microsoft SQL Server Analysis Service Data mining technologyThe 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
One-network fund settlement analysis system for Guangdong expressway Based on the Data Warehouse Star Model
Magenfeng(Guangdong Union Electronic Service Co., Ltd., Guangzhou 510300, China)
SummaryThe star mode is a well-known concept in the Data Warehouse Based on relational databases. the design concept of the star connection mode can meet the needs of people to
Some people often ask me how to get started with seo. I often say that I will send out-of-the-box links and change my friendship. it is already an entry-level seo, some may ask how to become a seo expert? Today I will share with you some of the website data analysis that advanced seo is good.
Some people often ask me how to get started with seo. I often say that I will send out-of-the-box links and change
Review the history of website data analysis, from "You are the first visit users" to now hundreds of professional tools provider, website analysis has evolved into a science. But in the face of different forms of analysis data, many people are still confused with the source
scoring site (movielens.umn.edu), The data set contains data for a total of seven months from September 19, 1997 to April 22, 1998. The data has been processed (the data that has been cleared for less than 20 times and the information is not complete)Movielens Data set:Movi
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