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Computer Science - Written paper - Web Usage Mining or Web Data Mining for E-Commerce.
COSC 6337 Web Mining andInformation RetrievalDepartment of Computer ScienceDr. Qi Zhu Course Project Project can take TWO ways:Type I - Written Projects: involve doing an indepth study, survey, or evaluation of one ormore topics related to Web MiningType II – Research projects: implementingsome experiments, applying tools on somedatasets, or studying with a different tool ormethodology.2 Spring 2020 Course Project – Type I Type I - Written Projects: Only one person allowed A survey paper examining the use of specific datamining techniques in one or more application areasrelated to the Web;A Survey paper is NOT a summary of several papers,you need to have your own input!!! 3 Spring 2020 Examples of Written ProjectIdeas (Type I) Web content mining: a study of various techniques tomine information and patterns from semi-structuredsuch as text, or Web documents. Examples includeextraction of specific types of information from specificsites, the use of XML and extraction of "meta-data" fromWeb pages, Web data warehousing, etc.Web Usage Mining: application of data miningtechniques to Web usage data (e.g., navigationalpatterns, demographic data, etc.) to discover usefulknowledge (e.g, for e-commerce, user profiling, Webpersonalization, etc.).4 Spring 2020 Examples of Written ProjectIdeas (cont.) Web Data Warehousing: detailed study of datawarehouses and datamarts, and their use, along withvarious data mining techniques for decision support andgaining business intelligence in e-commerce.Recommender Systems and User Profiling: Acomparative study of various techniques in data miningand collaborative filtering to learn user profiles andpredict future user behavior. 5 Spring 2020 Examples of Written ProjectIdeas (cont.) Web Data Mining for E-Commerce: a study of issues,techniques, and an evaluation of available tools toextract useful knowledge from e-commercetransaction data.Web Information Agents: a study of the use of clientside (or sever-side) agents on the Web that assistusers in filtering information and in browsing orsearching tasks on the Web. 6 Spring 2020 Type II - ImplementationProjects Examination of a specific commercial or freelyavailable packages/products, other than those usedin class (should install and experiment with thesystem using various data sets); orApplications of Web mining in a particular domainwith which you are familiar such as your work,specific types of Web sites, e-commerce, etc. (youmust develop a complete scenario).Should include software installation, usage, datacollection, result analysis, etc.Either one or two persons in a group7 Spring 2020 Examples of ImplementationProjects Ideas (Type II) implementing and performing experimental evaluationon one or more techniques discussed in the course(e.g., clustering, association rules, classification, etc.),or combining various data mining techniques (possiblyusing available tools) into a Web data mining solutionfor a specific problem.Either one or two persons in a group 8 Spring 2020 Examples of ImplementationProjects Ideas (Type II) Extracting interesting metadata (or specific type ofknowledge) about Web documents or from Web sites(and representing the integrated data using XML).Implementing transaction and sequence identificationin Web access logs, and applying various data miningtechniques (e.g., association rule mining, linkanalysis, classification) to these transactions, orsequences.Implementing a system to analyze the effectivenessof a Web site by comparing the site structure to thenavigational behavior of users.9 Spring 2020 Examples of ImplementationProjects Ideas Implementing clustering of Web documents according todocument attributes, usage and content.Implementing a simple recommender system based onusage mining, content filtering, or collaborative filteringtechniques.Implementing a system to interactively obtain a userprofile (e.g., topics of interest), and serve dynamic content(e.g., Web pages, e-mail newsletters, etc.) to users basedon these profiles.Developing your own mail, news, or Web informationfiltering agent (e.g., an agent that extracts information10 Spring 2020 Submission Finally submit your term report Due date is 5/10, 11:59pm.10-12 pages in length, including references, tables,figures.Use the APA format, here is a guideline http://owl.english.purdue.edu/owl/resource/560/01/ 11 Spring 2020 Grading Policy The accuracy of its science content – 20%The logic of its arguments – 20%The depth of the paper (for example,summarizing isn’t an in-depth study). – 20%The creativity of the paper (new finding,unique point of view) – 30%Its organization, style, correct use of English, andcoherence of thought. -10%12 Spring 2020
