Efficient Knowledge Extraction from Structured Data
Published in Electronic Theses of LMU Munich (Ludwig-Maximilians-Universität München) • Jan 1, 2011
NobleIDNI9P27W83R23S67
Authors:
Bianca Wackersreuther
Abstract
Knowledge extraction from structured data aims for identifying valid, novel, potentially useful, and ultimately understandable patterns in the data. The core step of this process is the application of a data mining algorithm in order to produce an enumeration of particular patterns and relationships...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!