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Application of Incremental Updating Association Mining Algorithm in Geological Disasters System

International Journal of Advanced Network, Monitoring and Controls
Volume 3 (2018): Issue 1 (January 2018)
By:
Open Access
|May 2018

Figures & Tables

TABLE I.

GROUNDWATER TABLE IN GEOLOGICAL DISASTERS DATABASE (MM)
GROUNDWATER TABLE IN GEOLOGICAL DISASTERS DATABASE (MM)

Figure 1.

TABLE. I corresponds to the inverted index map(IIP)
TABLE. I corresponds to the inverted index map(IIP)

Figure 2.

Order three of the B+ tree
Order three of the B+ tree

TABLE II.

UPDATE THE RECORD DATA (MM)
UPDATE THE RECORD DATA (MM)

Figure 3.

Inverted index tree of updated data
Inverted index tree of updated data

Figure 4.

Flow chart of incremental index updating algorithm of inverted index tree mining
Flow chart of incremental index updating algorithm of inverted index tree mining

TABLE III.

IUAR, IITREE ALGORITHM TO RUN THE EXPERIMENTAL TIME(S)
IUAR, IITREE ALGORITHM TO RUN THE EXPERIMENTAL TIME(S)

Figure 5.

Algorithms time comparison for IUAR and II Tree
Algorithms time comparison for IUAR and II Tree

Figure 6.

Memory usage comparison
Memory usage comparison

TABLE IV.

DISASTER MONITORING DATA TO BOOLEAN DATA CONVERSION TABLE
DISASTER MONITORING DATA TO BOOLEAN DATA CONVERSION TABLE
DOI: https://doi.org/10.21307/ijanmc-2018-009 | Journal eISSN: 2470-8038
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Language: English
Page range: 45 - 53
Published on: May 7, 2018
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Inverted Index Tree,
Geological Disaster System,
Frequent Item Sets,
Association Rules
Related subjects:
Computer sciences,
Computer sciences, other

© 2018 Wang Jianguo, Zhu Ying, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution 4.0 License.

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