WEB -based e-commerce web site content mining _1672

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WEB-based e-commerce web site content mining
 
 
[Abstract] With the rapid development of network technology, e-commerce industry is in a period of rapid development, all types of business websites have emerged. How many business sites from data obtained useful information needed to become a problem. This article analyzes Web content mining applications in e-commerce website and how to get the data source.  [Key words] e-commerce site Web content mining data sources   I. Introduction  for e-commerce site, Internet on the storage of a large number of documents, images, sound and other unstructured data and information, and also demonstrates the diversity of user groups, that is browsing the site for each person, their needs, interests, and browsing for different purposes. The size of a bit of business e-commerce sites handle tens of thousands every day, then how to find these data useful information to help e-commerce operators and researchers from the vast amounts of Web data be really valuable information to guide them to make management decisions. Is a very important and meaningful things.  Second, reptiles and Mining Web Content Mining  1.Web  typical classification in the current study, Web data mining is divided into: Web Content Mining (Web content mining), Web use (access information) Mining (Web usage mining), Web Structure Mining (Web structure mining) are three typical types.  (1) Web content mining is mainly the Web page content on the site excavation. Currently, most research has focused on how the text on the site, and multimedia data classification to improve the effectiveness of data mining, very few relate to how the data from the site of collection and analysis.  (2) Web structure mining is the main structure of Web documents mining algorithms to discover through a certain given the link between Web documents, and thereby obtain more important pages to users to browse the site authoritative pages.  (3) Web use (access information) mining is mainly when the user access to Web server access logs left side, that is, visit the Web site users access to the way mining. It does this by mining-related Web log records to discover user access to Web page mode. Popular mining methods include: path analysis, association rules and sequence pattern discovery,You are not allowed to view links. Register or Login, clustering and classification.  2.Web  mining data sources exist in the Web data mining of several representative data source:  (1) server log data. Personal View Web server, the server side that will produce 3 types of log files: Server logs, Error logs and Cookie logs, the log files are primarily intended to save the user access to the basic situation. So as to carry out Web use (access information) mining the main data source. But one thing to note is that these data are in the server thereto created, and therefore not available to a certain extent, because it involves trade secrets.  (2) online market data. Such data are mainly related with the market information. Online market data is business data, business-related analysis is conducted the main data source.  (3) Web page. Most of the current Web page HTML to meet the standards. HTML page contains text and multimedia information, such as pictures, images, language, etc., so involved in the field of data mining text mining and multimedia mining, many researchers now are working on how to text and multimedia information mining algorithm analysis.  (4) Web page hyperlink relations. Hyperlinks between Web pages is an important resource relations, Web site designers are always to the page they think is important to add to your page up.  (5) other data. In addition to the several important data sources, there are some other data, such as user registration information and a series of information.  Course, in the actual Web data mining to use these data sources are not isolated, but integrated use of several data sources and analysis, for example, we want to e-commerce site users access to a path of purchase of goods at the same time customers need to know some basic information.