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    1

    An Intelligent Customer Retention Management System

    2

    An Effective Backward Filter Pruning Algorithm Using K1,n partite GraphBased Clustering and the Decreasing Pruning Rate Approach
    • Department of Computer Science and Information Engineering /109/ Master
    • Author: Yu-Lun Chang Advisor: Kuo-Liang Chung
    • Setting a fixed pruning rate and/or specified threshold for pruning filters in convolutional layers…
    • Clicks: 297Downloads: 0
    • Full text public date 2024/06/28 (Intranet public)
    • Full text public date This full text is not authorized to be published. (Internet public)
    • Full text public date This full text is not authorized to be published. (National library)

    3

    A Novel Component Priority-Based and Incremental K-Means Clustering Algorithm for Imputing Incomplete Data
    • Department of Computer Science and Information Engineering /110/ Master
    • Author: Zih-Yi Chen Advisor: Kuo-Liang Chung
    • To deal with the incomplete data imputation problem, in this paper, we propose a novel and more eff…
    • Clicks: 124Downloads: 0
    • Full text public date 2025/06/29 (Intranet public)
    • Full text public date 2025/06/29 (Internet public)
    • Full text public date 2025/06/29 (National library)

    4

    Customer Behavior Analysis Given Tasked-Oriented Dialogues
    • Department of Computer Science and Information Engineering /109/ Master
    • Author: HUANG MIN-TE Advisor: Hsing-Kuo Pao
    • We know that a company should not only focus on offering customers the cheapest product. It is impo…
    • Clicks: 256Downloads: 0
    • Full text public date 2026/07/01 (Intranet public)
    • Full text public date 2026/07/01 (Internet public)
    • Full text public date 2026/07/01 (National library)

    5

    A Global Voting System for Clustering Ensemble
    • Department of Computer Science and Information Engineering /106/ Master
    • Author: Yu-Shih Chan Advisor: Bi-Ru Dai
    • Clustering is the process of partitioning a dataset into clusters based on the similar-ity between …
    • Clicks: 300Downloads: 0
    • Full text public date 2023/08/23 (Intranet public)
    • Full text public date This full text is not authorized to be published. (Internet public)
    • Full text public date This full text is not authorized to be published. (National library)

    6

    Block Importance Evaluation for Multi-Template Web Sites by Using Template Clustering
    • Department of Computer Science and Information Engineering /93/ Master
    • Author: Po-Yi Yen Advisor: Hahn-Ming Lee
    • The information of each block from the web pages might not be equally importance, especially in the…
    • Clicks: 179Downloads: 0
    • Full text public date This full text is not authorized to be published. (Intranet public)
    • Full text public date This full text is not authorized to be published. (Internet public)
    • Full text public date This full text is not authorized to be published. (National library)

    7

    Concept Separation by Manifold Learning Approach

    8

    Server Placement and Task Assignment for Clustering in IoT Networks
    • Department of Computer Science and Information Engineering /110/ Master
    • Author: TZU-YI CHUANG Advisor: Tai-Lin Chin
    • The number of Internet of Things (IoT) devices has been growing steadily, but contemporary IoT devi…
    • Clicks: 272Downloads: 0
    • Full text public date 2024/09/21 (Intranet public)
    • Full text public date 2024/09/21 (Internet public)
    • Full text public date 2024/09/21 (National library)

    9

    Solving Static Bike Rebalancing Problem by a Partial Demand Fulfilling Capacity Constrained Clustering Algorithm
    • Department of Computer Science and Information Engineering /106/ Master
    • Author: Yi Tang Advisor: Bi-Ru Dai
    • Nowadays, bike sharing systems have been widely used in major cities around the world. One of the m…
    • Clicks: 232Downloads: 0
    • Full text public date 2023/08/27 (Intranet public)
    • Full text public date This full text is not authorized to be published. (Internet public)
    • Full text public date This full text is not authorized to be published. (National library)

    10

    Adaptive Density-based Spatial Clustering of Applications with Noise (DBSCAN) According to Data
    1