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Web Mining and
Text Mining
Web Mining
Low precision
Low Recall
Discovering new knowledge from the web
Personalised web page synthesis
Learning about individual users
Web Content Mining
Web page Content Mining
Search Result Mining
Web Structure Mining
1. Page Rank
i. PageRank Algorithm
ii. Standing of a Node
2. Traversing and Intrinsic Links
3. Reference Nodes and Index Nodes
i. Index nodes
ii. Reference Nodes
4. Clustering and Determining Similar pages
i. Bibliographic Coupling
Bibliographic coupling occurs when two works reference a common third work in their bibliographies.
ii. Co-citation
Co-citation is defined as the frequency with which two documents are cited together by other documents.
[1]
If at least
one other document cites two documents in common these documents are said to be co-cited.
Bibliographic Coupling Co-Citation
Web Usage Mining
General Access Pattern Tracking
Customized Usage Tracking
Text Mining
Information Retrieval
Information Extraction
Computational Linguistics
Unstructured Text
● Features
○ Word Occurrences
○ Stop Words
○ Latent Semantic Indexing
○ Stemming
○ n-GRAM
○ POS (Part-of-Speech)
○ Positional Collocations
○ Higher Order Features
n-Gram
Episode Rule Discovery for Texts
Hierarchy of Categories
Text Clustering
● Scatter/Gather
Webmining (1)

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Webmining (1)

  • 2. Web Mining Low precision Low Recall Discovering new knowledge from the web Personalised web page synthesis Learning about individual users
  • 3.
  • 4.
  • 5. Web Content Mining Web page Content Mining Search Result Mining
  • 6. Web Structure Mining 1. Page Rank i. PageRank Algorithm ii. Standing of a Node 2. Traversing and Intrinsic Links 3. Reference Nodes and Index Nodes i. Index nodes ii. Reference Nodes 4. Clustering and Determining Similar pages i. Bibliographic Coupling Bibliographic coupling occurs when two works reference a common third work in their bibliographies. ii. Co-citation Co-citation is defined as the frequency with which two documents are cited together by other documents. [1] If at least one other document cites two documents in common these documents are said to be co-cited.
  • 8. Web Usage Mining General Access Pattern Tracking Customized Usage Tracking
  • 9. Text Mining Information Retrieval Information Extraction Computational Linguistics
  • 10.
  • 11. Unstructured Text ● Features ○ Word Occurrences ○ Stop Words ○ Latent Semantic Indexing ○ Stemming ○ n-GRAM ○ POS (Part-of-Speech) ○ Positional Collocations ○ Higher Order Features
  • 13. Episode Rule Discovery for Texts Hierarchy of Categories Text Clustering ● Scatter/Gather