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應用非監督式機器學習於多維度路網資料之探勘
Chang, Kuo-chen
(PI)
Department of Geography
Project
:
Government Ministry
›
Ministry of Science and Technology
Overview
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Computer Science
Traffic Pattern
100%
Multi-dimensional Network
66%
Hidden Information
66%
Data Dimension
66%
Systematic Sampling
66%
Spatial Information
33%
Analysis Technique
33%
Clustering Algorithm
33%
Temporal Information
33%
Temporal Dimension
33%
Machine Learning Approach
33%
Open Data
33%
wireless communication technology
33%
Multidimensional Data
33%
Positive Attitude
33%
Sampling Approach
33%
Internet-Of-Things
33%
Decision Making
33%
Data Processing
33%
Topology
33%
INIS
algorithms
100%
data
90%
space
45%
information
27%
dimensions
27%
randomness
18%
matrices
18%
highways
18%
sampling
18%
weight
9%
units
9%
decision making
9%
topology
9%
values
9%
sensitivity
9%
distance
9%
geography
9%
design
9%
attitudes
9%
machine learning
9%
management
9%
data analysis
9%