Title page for etd-0806101-111117


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URN etd-0806101-111117
Author Yu-Hsiu Chang
Author's Email Address m8842615@student.nsysu.edu.tw
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Department Information Management
Year 2000
Semester 2
Degree Master
Type of Document
Language English
Title Discovery of Evolution Patterns from Sequences of Documents
Date of Defense 2001-07-19
Page Count 68
Keyword
  • Feature Extraction
  • Feature Selection
  • Document Clustering
  • Frequent Temporal Patterns
  • Feature-Based Evolution Patterns
  • Text Mining
  • Abstract Due to the ever-increasing volume of textual documents, text mining is a rapidly growing application of knowledge discovery in databases. Past text mining techniques predominately concentrated on discovering intra-document patterns from textual documents, such as text categorization, document clustering, query expansion, and event tracking. Mining inter-document patterns from textual documents has been largely ignored in the literature. This research focuses on discovering inter-document patterns, called evolution patterns, from document-sequences and proposed the evolution pattern discovery (EPD) technique for mining evolution patterns from a set of ordered sequences of documents. The discovery of evolution patterns can be applied in such domains as environmental scanning and knowledge management, and can be used to facilitate existing document management and retrieval techniques (e.g., event tracking).
    Advisory Committee
  • Fu-Ren Lin - chair
  • C. M. Chiu - co-chair
  • Chih-Ping Wei - advisor
  • Files
  • etd-0806101-111117.pdf
  • indicate access worldwide
    Date of Submission 2001-08-06

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