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Exploring Web Mining: Data Unearthed from the Deep Web

Delve into the realm of Web Mining, where traditional data mining techniques are applied to unstructured web data. Discover the challenges and opportunities in extracting valuable insights from the vast and dynamic World Wide Web.

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Exploring Web Mining: Data Unearthed from the Deep Web

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  1. WEB MINING Dr. GOPINATH GANAPATHY BHARATHIDASAN UNIVERSITY

  2. Data Mining vs. Web Mining • Traditional data mining • data is structured and relational • well-defined tables, columns, rows, keys, and constraints. • Web data • Semi-structured and unstructured • readily available data • rich in features and patterns

  3. Web Mining • The term created by Orem Etzioni (1996) • Application of data mining techniques to automatically discover and extract information from Web data

  4. Web Mining • Web is the single largest data source in the world • Due to heterogeneity and lack of structure of web data, mining is a challenging task • Multidisciplinary field: • data mining, machine learning, natural language • processing, statistics, databases, information • retrieval, multimedia, etc.

  5. Mining the World-Wide Web • The WWW is huge, widely distributed, global information service center for • Information services: news, advertisements, consumer information, financial management, education, government, e-commerce, etc. • Hyper-link information • Access and usage information • WWW provides rich sources for data mining

  6. Web Mining: A more challenging task • Searches for • Web access patterns • Web structures • Regularity and dynamics of Web contents • Problems • The “abundance” problem • Limited coverage of the Web: hidden Web sources, majority of data in DBMS • Limited query interface based on keyword-oriented search • Limited customization to individual users

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