The Research and Application of Web Data Mining Based on XML

2014 ◽  
Vol 644-650 ◽  
pp. 2315-2318
Author(s):  
Li Juan Du
Keyword(s):  
Data Mining ◽  
Web Mining ◽  
Structured Data ◽  
System Structure ◽  
High Tech ◽  
Network Technology ◽  
Web Data ◽  
Web Data Mining ◽  
Mining System ◽  
Different Sources

With the development of computer and network technology, data mining based on database tables already cannot satisfy the need. The emergence of the Internet has huge amounts of information resources of the computer, and the implied knowledge but it has not been fully used, therefore the Web mining technology become the hotspot in research of high-tech. XML allows structured data from different sources together easily, thus making it possible to search diversification, incompatible database, Web data mining brings new opportunity. In this paper, through the study of the application of XML in Web data mining, this paper proposes a data mining system structure based on XML.

First Look on Web Mining Techniques to Improve Business Intelligence of E-Commerce Applications

2017 ◽  
pp. 298-314 ◽  
Author(s):  
G. Sreedhar ◽  
A. Anandaraja Chari
Keyword(s):  
Data Mining ◽  
Web Mining ◽  
Web Content ◽  
Web Data ◽  
Web Data Mining ◽  
Useful Knowledge ◽  
Web Usage ◽  
Web Structure ◽  
Web Structure Mining ◽  
Content Mining

Web Data Mining is the application of data mining techniques to extract useful knowledge from web data like contents of web, hyperlinks of documents and web usage logs. There is also a strong requirement of techniques to help in business decision in e-commerce. Web Data Mining can be broadly divided into three categories: Web content mining, Web structure mining and Web usage mining. Web content data are content availed to users to satisfy their required information. Web structure data represents linkage and relationship of web pages to others. Web usage data involves log data collected by web server and application server which is the main source of data. The growth of WWW and technologies has made business functions to be executed fast and easier. As large amount of transactions are performed through e-commerce sites and the huge amount of data is stored, valuable knowledge can be obtained by applying the Web Mining techniques.

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.

Research on the Application of Web Mining Technique Based on XML for Unstructured Web Data Using LINQ

2011 ◽  
Vol 403-408 ◽  
pp. 1062-1067 ◽  
Author(s):  
Payalpreet Kaur ◽  
Raghu Garg ◽  
Ravinder Singh ◽  
Mandeep Singh
Keyword(s):  
Data Mining ◽  
Data Storage ◽  
Data Exchange ◽  
Web Mining ◽  
Data Extraction ◽  
Unstructured Data ◽  
Web Data ◽  
Web Data Mining ◽  
Xml Document ◽  
Mining Model

Web data mining is a field that has gained popularity in the recent time with the advancement in web mining technologies. Web data mining is the extraction of data on web. The term Web Data Mining is a technique used to crawl through various web resources to collect required information, which enables an individual or a company to promote business, understanding marketing dynamics, new promotions floating on the Internet, etc. The data on web is unstructured, irregular and lacks a fixed unified pattern as it is presented in HTML format that represents data in the presentation format and is unable to handle semi-structured or unstructured data . These difficulties lead to the emergence of XML based web data mining. XML was created so that richly structured documents could be used over the web.XML provides a standard for the data exchange and data storage .This paper presents a web data mining model based on XML. In this model first of all unstructured data is transformed to XML and then XML document is stored in database in the form of the string tree, then specific records are searched using a LINQ query. If record does not exist in the database then check the updates of specific website and repeat the same steps. At last data selected by LINQ Query is displayed on web browser. The feature that helped to increase the speed of data extraction and that also reduces the time of extraction is the presence of database that stores the data that have been extracted earlier by a user and can be used by other users by passing a LINQ query .In this model there is no need to create an extra separate XSL file because this model stores xml document in the database in the form of the string tree. This model is implemented using C# with XML.

scholarly journals Web + Data Mining = Web Mining

2009 ◽  
Vol 46 (4) ◽  
pp. 6-20
Author(s):  
Kilian Stoffel
Keyword(s):  
Data Mining ◽  
Web Mining ◽  
Web Data ◽  
Web Data Mining

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.

Development of Efficient Decision Support System Using Web Data Mining

2017 ◽  
pp. 1-11 ◽  
Author(s):  
G. Sreedhar ◽  
A. Anandaraja Chari
Keyword(s):  
Data Mining ◽  
Web Sites ◽  
Web Mining ◽  
Web Content ◽  
Web Data ◽  
Web Data Mining ◽  
Personnel Costs ◽  
Web Structure Mining ◽  
Content Mining ◽  
Cost Efficient

The management of web sites imposes a constant demand for new information and timely updates due to the increase of services and content that site owners wish to make available to their users, which in turn is motivated by the complexity and diversity of needs and behaviours of the users. Such constant labour intensive effort implies very high financial and personnel costs. The growth of World Wide Web and technologies has made business functions to be executed fast and easier. E-commerce has provided a cost efficient and effective way of doing business. Web mining is usually defined as the use of data mining techniques to automatically discover and extract information from web documents and services. Also, web data mining is commonly categorized into three areas: web content mining that describes the discovery of useful information from content, web structure mining that analyses the topology of web sites, and web usage mining that tries to make sense of the data generated by the navigation behaviour and user profile.

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.

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