摘要(英) |
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).
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