PHD Research Proposal

Ph.D Research Proposal for Web Mining

Web mining is the integration of information gathered by traditional data mining methodologies and techniques with information gathered over the World Wide Web in customer relationship management. Web mining is used to understand customer behavior, evaluate the effectiveness of a particular Web site, and help quantify the success of a marketing campaign.

Web mining allows us to look for patterns in data through content mining, structure mining, and usage mining. Content mining is used to examine data collected by search engines and Web spiders. Structure mining is used to examine data related to the structure of a particular web site and usage mining is used to examine data related to a particular user’s browser as well as data gathered by forms the user may have submitted during web transactions and all this includes in the needs of today’s demanded real time applications.

  • Web Information Classification and Clustering

  • Web Content Mining

  • Web Structure Mining

  • Web Information Retrieval

  • Opinion Mining and Sentiment Analysis

  • Web Usage Mining

  • Recommender Systems and Collaborative Filtering

  • Structured Data Extraction

  • Association Rules and Sequential Patterns

  • Extracting and Analyzing Web Social Networks

  • Mining Frequent Patterns, Associations, and Correlations