Data Warehousing and Data Mining · Unit 9 · 2 hrs
Mining Spatial, Multimedia, Text and Web Data
Exam-focused notes for Mining Spatial, Multimedia, Text and Web Data (Data Warehousing and Data Mining, CSC420): what the TU syllabus asks and how it has actually been tested, with 5 solved past questions from this unit.
What this unit covers
- Spatial data mining
- Spatial data cube
- Mining spatial association
- Multimedia data mining
- Similarity search in multimedia data
- Mining association in multimedia data
- An introduction to text mining, natural language processing and information extraction
- Web mining (Web content mining, Web structure mining, Web usage mining)
Multimedia data mining
Discuss the concept of multimedia data mining along with the concept of similarity search. [5]
Multimedia database is a collection of interrelated multimedia data that includes text, sketches, drawings, images, animations, video, audio, and hypertext. Multimedia data mining is an interdisciplinary field that integrates the following areas: - Image pr...
Full solved answer →List some issues of multimedia mining. Describe how back propagation is used in classification.[10]
--- Multimedia database is a collection of interrelated multimedia data that includes text, sketches, drawings, images, animations, video, audio, and hypertext. Multimedia data mining is an interdisciplinary field that integrates image processing and unders...
Full solved answer →An introduction to text mining, natural language processing and information extraction
Discuss the concept of text mining with its practical implications. [5]
Text mining (also called text data mining or knowledge discovery from text) is the process of extracting interesting and non-trivial patterns or knowledge from large collections of unstructured or semi-structured text data. It applies data mining techniques...
Full solved answer →Spatial data mining
Define spatial data mining. What are the challenges of multimedia mining? Describe with an example. [5]
--- Spatial data mining refers to the extraction of knowledge, spatial relationships, or other interesting patterns that are not explicitly stored in spatial databases. Such mining demands an integration of data mining with spatial database technologies. Sp...
Full solved answer →Web mining
Discuss the types of web mining. Explain why K-means is sensitive to outlier and how does K-Medoid minimize this issue.[10]
--- Web mining is the application of data mining techniques to extract useful knowledge and patterns from the World Wide Web. It involves discovering patterns from web data including web content, web structure, and web usage. Web mining is broadly classifie...
Full solved answer →Make Unit 9 stick
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