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吳秀陽

Overview
Works: 2 works in 12 publications in 2 languages
Titles
基於規則庫之動態 AHP決策框架研究 = = A Dynamic analytic hierarchy process decision-making framework based on rule base / by: 劉妘鑏; 吳秀陽; 吳信宏; Wu, Shiow-Yang; Wu, Hsin-Hung (Language materials, printed)
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Subjects
Sequential pattern mining. MapReduce. 成本感知供應 預測式快取 即時串流分析 shape and symbol aggregate approximation 深度學習 model set learning 事件-條件-行動規則 Impact Analysis PySpark 物聯網 Dynamic sharing 漸進式循序性樣式探勘 動態佈署 Hadoop 工作量預估 dynamic processing 行為辨識與追蹤 模型集合學習 deep learning Geometric Mean 串流大數據分析 偏異矯正 predictive deviation estimation deviation correction Google Map API 串流大數據 Spark. Incremental sequential pattern mining. 服務發展模式 mobile cloud services workload estimation 時間序列近似法 similarity calculation ResNet 資料預測 Kafka Apache Echarts Data Prediction 動態分享 Streaming big data 循序性樣式探勘 行動雲端服務 重感策略 Resensing Probability Predictive Caching 循序樣式探勘 MapReduce 窗口運算 動態處理 window operations VGGNet 影響分析 ECA rule 預測式偏異評估 Pattern detection cost-sensitive 有效時間 快取管理 相似度計算 供應商評選 循序行為分析 致動器組合 視覺化 Pyspark Big Data Visualization 樣式偵測 服務普及化 Hadoop. dynamic deployment ValidTime Caching Replacement Spark 串流資料處理 Spark Streaming sequential pattern mining 形狀與符號聚合近似法 behavior identification and tracking 大數據 GoogLeNet 系統性錯誤 效能可調 systemic error effectiveness customizable Steel and Iron Industry service development model streaming data processing big data 幾何平均 sequential behavior analytics IoT Service popularize Sequential pattern mining real-time streaming analysis time series representation AlexNet 鋼筋產業 Supplier Selection 行動規劃演算法 streaming big data analytics action planning algorithm actuators combination MongoDB IOT
 
 
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