↓ Skip to main content
What is this page? Embed badge

Knowledge Discovery from XML Documents

Overview of attention for book
Cover of 'Knowledge Discovery from XML Documents'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Opportunities for XML Data Mining in Modern Applications, or XML Data Mining: Where Is the Ore?
  3. Altmetric Badge
    Chapter 2 Capturing Semantics in XML Documents
  4. Altmetric Badge
    Chapter 3 Mining Changes from Versions of Dynamic XML Documents
  5. Altmetric Badge
    Chapter 4 XML Document Clustering by Independent Component Analysis
  6. Altmetric Badge
    Chapter 5 Discovering Multi Terms and Co-hyponymy from XHTML Documents with XTREEM
  7. Altmetric Badge
    Chapter 6 Classification of XSLT-Generated Web Documents with Support Vector Machines
  8. Altmetric Badge
    Chapter 7 Machine Learning Models: Combining Evidence of Similarity for XML Schema Matching
  9. Altmetric Badge
    Chapter 8 Information Retrieval from Distributed Semistructured Documents Using Metadata Interface
  10. Altmetric Badge
    Chapter 9 Using Ontologies for Semantic Query Optimization of XML Database
  11. Altmetric Badge
    Chapter 10 The Expressive Language ALCNHR+K(D) for Knowledge Reasoning
  12. Altmetric Badge
    Chapter 11 A New Scheme to Fingerprint XML Data
  13. Altmetric Badge
    Chapter 12 A Novel Labeling Scheme for Secure Broadcasting of XML Data
Attention for Chapter 1: Opportunities for XML Data Mining in Modern Applications, or XML Data Mining: Where Is the Ore?
Altmetric Badge

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
2 Mendeley
Summary Dimensions citations
So far, Dimensions has found 7 publications that cite this research output.

7

The most recent citing publications are shown below. View all 7 publications that cite this research output on Dimensions.

This page shows the most recent citations of this research output.

Click here to find out how to access more activity.

This page is provided by Altmetric.