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數據科學與工程研究所
國立陽明交通大學
資訊學院
電話
03-5715900
電子郵件
[email protected]
網站
https://www.cs.nycu.edu.tw/intro/organization/data
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人員
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計畫
(150)
研究成果
(610)
獎項
(30)
活動
(11)
指紋
查看啟用 數據科學與工程研究所 的研究主題。這些主題標籤來自此機構會員的作品。共同形成了獨特的指紋。
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Computer Science
Experimental Result
100%
Data Mining
50%
Association Rules
25%
Membership Function
23%
Synthetic Datasets
22%
Efficient Algorithm
21%
Sequential Pattern
21%
Deep Learning Method
20%
Data Mining Technique
18%
Time Series Data
16%
Execution Time
15%
Reinforcement Learning
14%
Gene Expression Data
14%
Sensor Networks
14%
Annotation
14%
Minimum Support
14%
Tree Search
14%
Pattern Mining
13%
Speed-up
13%
Execution Efficiency
13%
Video Compression
13%
Information Retrieval
13%
Mining Process
12%
Points of Interest
12%
Neural Network
12%
Clustering Method
11%
Deep Reinforcement Learning
11%
User Preference
11%
Ontology
11%
Location-Based Service
11%
Search Space
10%
Tracking Object
9%
Image Compression
9%
User Behavior
9%
Prediction Model
9%
Genetic Algorithm
9%
Sequential Pattern Mining
9%
Clustering Technique
9%
Energy Efficient
8%
Multimedia
8%
mobile commerce
8%
Internet-Of-Things
8%
Visual Feature
8%
Good Performance
8%
Data Classification
7%
Prediction Time
7%
Sequential Rule
7%
Microarray Data
7%
Data Stream
7%
Big Data
7%
Collaborative Filtering
7%
Image Retrieval
7%
World Application
7%
Artificial Intelligence
6%
Recommender Systems
6%
Image Annotation
6%
Data Mining Algorithm
6%
Data Structure
6%
Real Application
6%
Mining Technique
6%
wavelet transformation
6%
Learning Algorithm
6%
Representation Learning
6%
Research Topic
6%
Behavior Pattern
6%
Decision Tree
6%
Machine Learning
6%
Time Constraint
6%
Sequential Rule Mining
6%
Performance Evaluation
5%
Deep Neural Network
5%
Learning System
5%
Research Community
5%
rate distortion
5%
Social Network
5%
Scheduling Policy
5%
Temporal Data
5%
Navigation Pattern
5%
Image Segmentation
5%
Contrastive Learning
5%
fuzzy association rule
5%
Content-based image retrieval
5%
Transactional Database
5%
Energy Saving
5%
Data Mining Task
5%
Time Complexity
5%
Blockchain
5%
Evaluation Result
5%
Memory Requirement
5%
Candidate Itemsets
5%
Interframe Coding
5%
Compression Performance
5%
Computational Cost
5%
Playing Strength
5%
Classification Problem
5%
Mobile Device
5%
Keyphrases
Data Mining Techniques
45%
High Utility Itemset
30%
Membership Function
23%
Genetic-fuzzy Mining
20%
Gene Expression Data
18%
Association Rules
17%
Sequential Pattern
16%
Cluster-based
16%
Clustering Methods
16%
Learning-based
15%
Deep Learning
15%
High Utility Patterns
15%
Microarray Data
14%
Excellent Performance
14%
Mining Method
14%
Subsequence
13%
Deep Learning Methods
13%
Efficient Mining
13%
Utility Mining
13%
Neural Network
13%
Multiple Minimum Supports
12%
Point-of-interest Recommendation
11%
User Preference
11%
AlphaZero
10%
Learned Image Compression
10%
Time Series Data
10%
Fuzzy Data Mining
10%
Win Rate
10%
Sensor Networks
10%
High-utility Itemset Mining
10%
Sequential Rules
9%
Visual Features
9%
Miners
9%
Deep Learning Model
9%
Location-based Services
9%
Utility Itemset
9%
Episode Mining
8%
Transformer-based
8%
Taiwan
8%
Mobile Commerce
8%
Usage Patterns
8%
Early Classification
8%
Image Compression
8%
Check-in
8%
B-frames
8%
Popular
8%
Mobile Users
8%
Pattern-based
8%
Synthetic Data
8%
Deep Reinforcement Learning (deep RL)
8%
Gene Expression
8%
Artificial Intelligence
8%
High Efficiency
8%
Object Tracking
8%
Quantitative Transactions
8%
Monte Carlo Tree Search
7%
Recommendation Method
7%
Reinforcement Learning
7%
Genetic Algorithm
7%
Novel Algorithm
7%
Codec
7%
Gene Ontology
7%
Divide-and-conquer
7%
Clustering Approach
7%
Execution Time
7%
Energy Efficient
7%
Fuzzy Association Rules
7%
Hierarchical B pictures
7%
Augmented Normalizing Flows
7%
Pruning Strategy
7%
Movement Patterns
7%
Association Rule Mining
6%
MicroRNA
6%
Music Recommendation
6%
Next-generation Sequencing
6%
Sequential Pattern Mining
6%
Execution Efficiency
6%
Convolutional Neural Network
6%
Recommender
6%
World Wide Web
6%
Transaction Database
6%
State-of-the-art Techniques
6%
Energy Saving
6%
On-shelf
6%
Coding Scheme
6%
Performance Evaluation
6%
Constructive Induction
6%
Internet of Healthcare Things (IoHT)
6%
Location-based Social Networks
6%
Large Database
6%
Prediction Model
6%
Image Retrieval
6%
Fuzzy Mining
6%
Video Codec
5%
Prediction Strategy
5%
Pattern Mining
5%
On-shelf Utility Mining
5%
Object Tracking Sensor Networks
5%
Liquid Chromatography-tandem Mass Spectrometry (LC-MS/MS)
5%
Fully Integrated
5%