Web Usage Mining Research Papers

Web Usage Mining Research Papers-59
While thereexists a significant body of work in extracting knowledgefrom images — in the fields of image processing andcomputer vision — the application of these techniques to Web content mining has not been very rapid.[2]Its techniques are equivalent of data mining techniques for text mining, since it is possible to find similar types of information from the unstructured data residing in Web documents.Its attention in analyzing users behavior on the web after exploring access logs made its popularity very rapidly especially in E-services areas.

While thereexists a significant body of work in extracting knowledgefrom images — in the fields of image processing andcomputer vision — the application of these techniques to Web content mining has not been very rapid.[2]Its techniques are equivalent of data mining techniques for text mining, since it is possible to find similar types of information from the unstructured data residing in Web documents.Its attention in analyzing users behavior on the web after exploring access logs made its popularity very rapidly especially in E-services areas.

Web Data Mining and Business Intelligence Research Project E-Commerce Technology 584De Paul University Chicago, Illinois 60604ABSTRACTDeep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms.

Learning can be supervised, semi-supervised or unsupervised.

The performances of Web information retrievals and Web based data warehousing are boosted with the extraction of information from the Web using web mining tools.

Web usage mining is one of the fastest developing areas of web mining.

It can be applied in different areas like providing companies with managerial insight into visitor profiles, which help top management take strategic actions accordingly.

The company can obtain some subjective measurements through Web Mining on the effectiveness of their marketing campaign or marketing research, which will help the business to improve and align their marketing strategies timely.The company can identify the strength and weakness of its web marketing campaign through Web Mining, and then make strategic adjustments, obtain the feedback from Web Mining again to see the improvement.Search engine Google provides advanced and efficient searching capabilities.Content data corresponds to thecollection of facts a web page was designed to convey tothe users.It may consist of text, images, audio, video, orstructured records such as lists and tables.The Web document usually contains several types of data, such as text, image, audio, video, metadata and hyperlinks.The unstructured characteristic of Web data forces the Web content mining towards a more complicated approach.Web mining on the other hand is the application of data mining and machine learning techniques to extract useful knowledge to discover patterns from the World Wide Web or web resources.Web mining can be divided into three different types namely: Web usage mining (which are activities from server logs and web browser activity tracking), Web content mining (relates to data found on web pages and inside of documents) and Web structure mining (relates to links between pages, people and other data).Now that information sourcesavailable on the World Wide Web have grown expansively, it has becomevery important for users to utilize automatedtools in discovering and finding out the desired information resources, and totrack and analyze their usage patterns.To retrieve the information from different storage areas which is a quite difficult process, efficient tools are required to find the desired information.

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