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查看斯高帕斯 (Scopus) 概要
柯 士文
助理教授
資訊管理學系
電子郵件
swgke
ncu.edu
tw
網站
https://cis.ncu.edu.tw/iTeacher/home/0x89cd8b9ff801e340ba275d08da458ee8
h-index
1429
引文
13
h-指數
按照存儲在普爾(Pure)的出版物數量及斯高帕斯(Scopus)引文計算。
2006
2024
每年研究成果
概覽
指紋
網路
研究計畫
(5)
研究成果
(36)
類似的個人檔案
(6)
指紋
查看啟用 Shi-Wen Ke 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Computer Science
Instance Selection
100%
Data Mining
55%
Support Vector Machine
49%
Feature Extraction
46%
Genetic Algorithm
45%
Data Preprocessing
44%
Feature Selection
41%
Computational Cost
40%
Classification Accuracy
34%
Research Impact
33%
Support Vector Machine
31%
Experimental Result
29%
Computer Science
28%
Annotation
25%
Information Retrieval
25%
Prediction Model
23%
image feature
23%
Highly Cited Paper
21%
Training Data
21%
Data Classification
20%
Citation Analysis
19%
Computer Vision
19%
Computational Time
18%
Research Paper
17%
Data Mining Technique
17%
Problem Domain
16%
Intrusion Detection System
16%
Learning Technique
16%
Preprocessing Step
16%
Feature Generation
14%
Text Classification
14%
Publication Type
14%
Clustering Algorithm
14%
Model Retrieval
14%
Image Annotation
14%
Child Analysis
14%
Data Reduction
14%
Dimensionality Reduction
14%
Personal Email
14%
Average Citation
14%
Face Detection
14%
Image Processing Method
14%
Map-Reduce
14%
Big Data
14%
Vector Quantization
14%
World Wide Web Search
14%
Classification Models
14%
Business Application
14%
Case Study
14%
Information System
14%
Keyphrases
Instance Selection
88%
Medical Dataset
56%
Data Preprocessing
55%
Feature Selection
44%
Genetic Algorithm
37%
Preprocessing Techniques
33%
Classification Accuracy
33%
K-nearest
32%
Missing Value Imputation
31%
Support Vector Machine
29%
Evolutionary Instance Selection
28%
Biological Algorithms
28%
Genetic Basis
28%
Computer Science
28%
Hierarchical Regression
28%
Hierarchical Classification
28%
Computational Cost
26%
Training Data
24%
Research Impact
23%
Data Mining Techniques
22%
Noisy Data
18%
Design Methodology
18%
Large-scale Dataset
17%
Support Vector Machine Classifier
17%
Data Classification
16%
Cluster Center
16%
Intrusion Detection System
16%
Prediction Model
16%
Classification Performance
16%
Research Performance
16%
Case Deletion
15%
International Conference
15%
Citation Impact
15%
Citation Analysis
15%
Result-oriented
15%
Problem Domain
14%
Keypoint Selection
14%
Poster Sessions
14%
CSBS-DP
14%
Eye Detection
14%
Information Systems Journals
14%
Breast Cancer Prediction
14%
Dual Classifiers
14%
Ensemble Support Vector Machine
14%
Pseudo-relevance Feedback
14%
Telecom Churn Prediction
14%
Evolutionary Feature Selection
14%
Funded Paper
14%
Conference Proceedings
14%
Clinical Data Mining
14%