分群演算法.

結合多屬性決策與資料探勘技術建構企業績效評估與預測之模式 = = Combining Multi-Attribute with Decision-Making and Data Mining Techniques to Construct an Enterprise Performance Evaluation and Prediction Model / by: (Language materials, printed)

K-MEAP分群法和Wasserstein生成對抗網路在物聯網之分佈值變數的研究 = = Study on K-meap Clustering and Wasserstein GAN for Distributional-valued Variable of IoT / by: (Language materials, printed)

巨量資料分析平台建置與整合符號鄰近傳播分群用於水質監控資料分析之研究 = = Study on Building the Big Data Analytics Platform and to Integrate the Symbol Affinity Propagation Clustering for Water Quality Monitoring Data Analysis / by: (Language materials, printed)

邏輯迴歸分析.

Genetic Algorithm-Logistic Regression.

Expectation-Maximization.

Clustering Algorithm.

Big Data Analysis.

理想解類似度順序偏好法.

分佈值變數.

Wasserstein距離.

智慧農業.

貝氏網路.

巨量資料分析.

Distribution-valued Variable.

Industry 4.0.

Distribution Variables.

Partial Least Squares.

類神經網路.

Artificial Neural Network.

Wasserstein Distance.

Intuitionistic Fuzzy Set.

Bayesian Network.

分群演算法.

基因演算.

偏最小平方法.

K-Means.

Symbol Affinity Propagation algorithm.

Generative Adversarial Network.

工業4.0.

直覺模糊集.

符號相似傳播算法.

Technique for Order Preference by Similarity to Ideal Solution.

Clustering Algorithms.

Smart Agriculture.

生成對抗網路.