Data Warehousing and Data Mining · Unit 7
Advanced Mining Techniques
Exam-focused notes for Advanced Mining Techniques (Data Warehousing and Data Mining, BIT454): what the TU syllabus asks and how it has actually been tested, with 3 solved past questions from this unit.
What this unit covers
- Text mining definition and applications
- Web structure mining
- Web content mining
- Web usage mining
- Outlier analysis and detection
- Outlier definition and types
Text mining definition and applications
What do you mean by text mining? Explain with an example. [5]
Text Mining is the process of extracting meaningful information, patterns, and knowledge from unstructured text data. It involves analyzing large volumes of textual documents to discover useful insights, relationships, and trends that would be difficult to ...
Full solved answer →Outlier analysis and detection
Illustrate the use of outlier analysis with an example. [5]
Outlier analysis is a data mining technique used to identify and analyze data points that deviate significantly from the normal pattern or expected behavior in a dataset. Outliers are observations that are substantially different from other data points and ...
Full solved answer →Web structure mining
Discuss about web structure, web content and web usage mining. [5]
Web mining is the application of data mining techniques to discover patterns and knowledge from web data. It comprises three main categories: --- Definition: Web structure mining discovers knowledge from the organization and links of the web. Key aspects: -...
Full solved answer →Make Unit 7 stick
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