Domain name network address activeness statistics method and system

A statistical method and activity technology, applied in the field of computer networks, which can solve the problems of slow convergence, premature maturity, poor diversity, etc.

Inactive Publication Date: 2016-06-08
CERNET CORP
View PDF2 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in practical applications, due to the complexity of the problem and the massive amount of data, there are some unsatisfactory situations, mainly manifested in the poor diversity of solutions in the later stage of calculation, that is, it is easy to cause disadvantages such as premature maturity and slow convergence speed.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Domain name network address activeness statistics method and system
  • Domain name network address activeness statistics method and system
  • Domain name network address activeness statistics method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0030] Such as figure 1 As shown, the present invention proposes a method for counting domain name URL activity, which includes:

[0031] Step 1: Decipher each subdomain name from the domain name URL;

[0032] Step 2: extracting a feature code from each of the subdomain names;

[0033] Step 3: using the feature code to index all the sub-domain names one by one to form a retrieval system;

[0034] Step 4: put the feature codes of each of the sub-domain names into the retrieval system one by one, and gather all the sub-domain names retrieved by the current sub-domain name into one category;

[0035] Step 5: Determine the activity of the current sub-domain name according to the size of all the sub-domain names clustered i...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a domain name network address activeness statistics method and system. The method comprises the steps of step 1: cracking a domain name network address to obtain each sub-domain name; step 2: extracting a feature code from each sub-domain name; step 3: indexing all the sub-domain names by using the feature codes one by one to form a retrieval system; step 4: adding the feature codes of the sub-domain names into the retrieval system one by one and clustering all sub-domain names retrieved by a current sub-domain name into one category; and step 5: according to the sizes of all the sub-domain names clustered into one category and retrieved by the current sub-domain name, determining the activeness of the current sub-domain name. According to the method and system, through the analysis on a sub-domain name duplicate removal algorithm, it can be showed that a feature code based same-content sub-domain name removal and combination algorithm is a linear computing complexity algorithm and has very high judgment accuracy and recall rate.

Description

technical field [0001] The invention relates to the technical field of computer networks, in particular to a method and system for counting activity of domain name website. Background technique [0002] Nowadays, sales forecast plays an important role in improving the economic efficiency and decision support level of enterprises. With the improvement of the level of enterprise information technology, the sales data of enterprises is becoming more and more abundant, and the managers' desire for the hidden sales forecast information is getting stronger and stronger. It is quite difficult to use traditional methods to analyze the sales information in these massive data, which is no longer suitable for the needs of the times. How to find a better way to mine the sales forecast information hidden in the sales data is becoming more and more important. [0003] At present, I am used to such a title: front-end behavioral data and back-end business data. Front-end data refers to d...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06N3/12
CPCG06F16/958G06N3/126
Inventor 黄友俊李星吴建平郝建邓斌
Owner CERNET CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap