The Study and Application of E-Business Website Based on the Web Data Mining

2013 ◽  
Vol 846-847 ◽  
pp. 1431-1434
Author(s):  
Yi Ni Wang
Keyword(s):  
Data Mining ◽  
Electronic Commerce ◽  
Web Data ◽  
Web Data Mining ◽  
Mining System ◽  
Data Mining System ◽  
The Web

Taking data mining technologies as the key, with the analysis of electronic commerce, this paper studies deeply on the implementation of data mining system that is electronic commerce-oriented.

Research on the Mechanism of Web Data Mining in Electronic Commerce Application

2014 ◽  
Vol 687-691 ◽  
pp. 3003-3006
Author(s):  
Pu Wang
Keyword(s):  
Data Mining ◽  
Electronic Commerce ◽  
Recommender Systems ◽  
Social Process ◽  
The Internet ◽  
Web Data ◽  
Process Data ◽  
Web Data Mining ◽  
Amount Of Information ◽  
The Web

At present, the growth of the Internet has brought us a vast amount of information that we can hardly deal with. To solve the flood of information, various data mining systems have been created to assist and augment this natural social process. Data minig recommender systems have been developed to automate the recommendation process. Data mining recommender systems can be found at many electronic commerce applications. In this paper, a recommendation mechanism of web data mining in electronic commerce application is given. Then, presents the workflow of the web data mining in electronic commcer. Lastly, the usage of the tools of web data mining is described.

The Application of Web Data Mining System Model in Mechanical Engineering

2013 ◽  
Vol 681 ◽  
pp. 79-85
Author(s):  
Cao Feng
Keyword(s):  
Data Mining ◽  
Research Field ◽  
System Model ◽  
Web Data ◽  
Web Data Mining ◽  
Mining System ◽  
Combining Data ◽  
Data Mining System ◽  
New Research ◽  
Representative Process

Web Data Mining is a new research field combining Data Mining with Internet, this paper introduces the significance, signification, and classification of Web Data Mining, then discusses the representative process of Web Data Mining based on XML detailedly, designs a material Web Data Mining system model and presents the structure frame and working mechanism of the system model for offering a competitive processing environment, it is advantageous to improving the whole performance of Web Data Mining.

Personalized Web Data Mining System

2011 ◽  
Vol 219-220 ◽  
pp. 183-186
Author(s):  
Bo He
Keyword(s):  
Data Mining ◽  
User Interface ◽  
Data Preprocessing ◽  
User Profiles ◽  
Web Data ◽  
Web Data Mining ◽  
Mining System ◽  
Key Technology ◽  
Interface Module ◽  
Data Mining System

Most of Web data mining systems did not construct user profiles and could not support personalized Web data mining. Aiming at the shortcomings, the paper defined and established user profiles. On the base of this, the paper designed a personalized Web data mining system, namely PWDMS. PWDMS consisted of user interface module, data preprocessing module and data mining module. In addition, this paper discussed the key technology of PWDMS. It is proved that applying personalized technology to Web data mining is efficient.

Effectiveness of Web Usage Mining Techniques in Business Application

2017 ◽  
pp. 324-350 ◽  
Author(s):  
Ahmed El Azab ◽  
Mahmood A. Mahmood ◽  
Abd El-Aziz
Keyword(s):  
Data Mining ◽  
Academic Research ◽  
Web Usage Mining ◽  
Web Pages ◽  
Web Data ◽  
Web Data Mining ◽  
Web Usage ◽  
Business Application ◽  
Common Interests ◽  
The Web

Web usage mining techniques and applications across industries is still exploratory and, despite an increase in academic research, there are challenge of analyze web which quantitatively capture web users' common interests and characterize their underlying tasks. This chapter addresses the problem of how to support web usage mining techniques and applications across industries by combining language of web pages and algorithms that used in web data mining. Existing research in web usage mining techniques tend to focus on finding out how each techniques can apply in different industries fields. However, there is little evidence that researchers have approached the issue of web usage mining across industries. Consequently, the aim of this chapter is to provide an overview of how the web usage mining techniques and applications across industries can be supported.

scholarly journals Personalized web search on e-commerce using ontology based association mining

2017 ◽  
Vol 7 (1.1) ◽  
pp. 286
Author(s):  
B. Sekhar Babu ◽  
P. Lakshmi Prasanna ◽  
P. Vidyullatha
Keyword(s):  
Data Mining ◽  
Web Search ◽  
Large Data ◽  
Association Mining ◽  
Data Sets ◽  
Data Mining Algorithm ◽  
Web Data ◽  
Data Mining Technique ◽  
Web Data Mining ◽  
The Web

 In current days, World Wide Web has grown into a familiar medium to investigate the new information, Business trends, trading strategies so on. Several organizations and companies are also contracting the web in order to present their products or services across the world. E-commerce is a kind of business or saleable transaction that comprises the transfer of statistics across the web or internet. In this situation huge amount of data is obtained and dumped into the web services. This data overhead tends to arise difficulties in determining the accurate and valuable information, hence the web data mining is used as a tool to determine and mine the knowledge from the web. Web data mining technology can be applied by the E-commerce organizations to offer personalized E-commerce solutions and better meet the desires of customers. By using data mining algorithm such as ontology based association rule mining using apriori algorithms extracts the various useful information from the large data sets .We are implementing the above data mining technique in JAVA and data sets are dynamically generated while transaction is processing and extracting various patterns.

scholarly journals Personalized Teaching Platform Based on Web Data Mining

2016 ◽  
Vol 11 (11) ◽  
pp. 15 ◽  
Author(s):  
Lan-zhong Wang
Keyword(s):  
Data Mining ◽  
Teaching Quality ◽  
Web Data ◽  
Web Data Mining ◽  
Teaching Platform ◽  
Modern Distance Education ◽  
The Individual ◽  
Individual Service ◽  
The Web

The purpose of this study is to develop a distance personalized teaching platform. The web data mining is used for the construction of the system and by analyzing the character of web data mining (WDM) and the essence of personalization teaching and instruction, based on WDM, The system contains knowledge base, individual database, WDM and web server four modules. The web data mining is used for the construction of the system and by analyzing the character of web data mining (WDM) and the essence of personalization teaching and instruction. Simulation results show that model has important enlightenment and pushing effect for promoting the individual service and improving teaching quality of modern distance education.

Research and Application of XML-Based Web Data Mining

2014 ◽  
Vol 1079-1080 ◽  
pp. 601-603
Author(s):  
Dan Yang
Keyword(s):  
Data Mining ◽  
Job Search ◽  
Information Society ◽  
Web Pages ◽  
Web Data ◽  
Electronic Information ◽  
Web Data Mining ◽  
Web Information ◽  
Transmission Of Information ◽  
The Web

Popularity of the network is based on the transmission of information, with the development of electronic information technology, the degree of data in the information society continues to deepen, if we want to get wanted or useful information from the mass of information, it must be on the Web information mining. Before, information data used HTML language, its structure is poor, Web data mining is difficult to meet the needs of the job search. In this context, XML language emerges, and it has a good level and structure, and can organize web pages information better, plays a good role in data mining, largely changing the various deficiencies in HTML language. This paper first introduces XML and Web data mining, and analyzes XML-based Web data mining applications on this basis.

Sign in / Sign up

Export Citation Format

Share Document