資料探勘
Overview
| Works: | 222 works in 74 publications in 74 languages | |
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Titles
部分多重週期性無重複樣式的有效率探勘方法 = = Efficient Partial Multiple Periodic Patterns Mining Without Redundant Rules /
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利用多層高度平衡交易樹探勘頻繁樣型 = = frequent pattern mining using mul-level AVLtransaction trees /
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高效率比例性容錯資料探勘演算法 = = An Efficient Algorithm for Proportionally Fault-tolerant Data Mining /
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在平行分散式環境下有效的探勘部分多重週期性型樣 = = A Parallel Algorithm for Partial Multiple Periodic Patterns Mining with Minimum Inter-Processor Communication /
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序列型態應用於疾病分類碼之分析研究 = = A Research on Novel Knowledge Retrieval from ICD9 Sequences /
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在醫學報告資料中探勘連續序列 = = Mining Useful Sequential patterns from Medical Data /
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資料探勘在股市序列型樣的應用 = = A Novel Data Mining Technique for Stock Market Analysis /
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多重最小支持度關聯規則探勘演算法之醫療檢驗應用 = = Multiple Minimum Support Association Rule Mining for Hospitalization Prediction of Hemodialysis Patients : 以血液透析病患之住院預測為例 /
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資料探勘技術應用於網路入侵偵測特徵值搜尋之研究 = = DATA MINING TECHNIQUES FOR SIGNATURE SEARCH IN NETWORK INTRUSION DETECTION /
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於關聯規則探勘上隱藏敏感知識之新式演算法 = = A Novel Method for Protecting Sensitive Knowledge in Association Rules Mining /
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在負相關下考慮產品間的替代關係 = = Negative association rules analysis by considering substitution relationship between products /
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於多資料串流中序列式樣探勘之單一性通過演算法 = = A Single Pass Algorithm for Mining Sequential Patterns Across Online Data Streams /
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偵測資料串流上頻率震動項目之單一通過演算法 = = A Single Pass Algorithm of Finding Frequent Vibrated Items over Online Data Streams /
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一個新式跨層次關聯規則探勘之演算法 = = A Bottom Up Algorithm for Mining Cross-Level Association Patterns without Redundant Rules Generation /
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在大型資料庫中探勘資料項目間之強替代性規則 = = Mining Strong Substitution Rules between Sets of Items in Large Database /
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一個新的具有離群值偵測能力的分群演算法 = = AIRO : A New Data Clustering Algorithm with the Ability of Identifying the Outliers /
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以容錯關聯圖為架構探勘固定式及比例式容錯高頻式樣 = = Mining Fixed and Proportional Fault-Tolerant Frequent Patterns Efficiently by FT-association graph /
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在多資料串流中利用遞增式更新之序列式樣探勘 = = Incremental Update Of Sequential Pattern Mining On Data Streams /
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利用option node技巧的決策樹合併演算法之研究 = = The Combination of Decision Trees Using Option Node /
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運用資料探勘技術建構顧客流失行為預測模型 = = An Application of Data Mining for Constructing Customers' Attrition Predicting Model - An Example of Bank's Credit Card Operation : 以國內某銀行信用卡顧客為例 /
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文字探勘在科技政策研究之應用 = = The application of text mining for science and technology policy research /
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於資料串流環境下之知識探索中式樣興趣度增長之研究 = = The PIG: A Study of Pattern's Interestingness Growth in Knowledge Discovery of Data-Streaming Environment /
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大數據時代 = = Big data revolution : how data science changes the world /
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大數據 : = 知識經濟與實務應用 = Big data : the data wisdom and knowledge-based economies /
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數據挖掘 : = 實用機器學習工具與技術 = Data mining : practical machine learning tools and techniques /
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應用隨機森林演算法於花蓮地區交通事故嚴重度主要影響因子研究 = = Exploring the Dominant Factors Influencing Traffic Accident Severity in Hualien County Using Random Forest Algorithm /
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資料探勘 : = 人工智慧與機器學習發展以SPSS Modeler為範例 = Data mining : artificial intelligence and machine learning development /
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一種用於能源互聯網的排放感知日前電力調度系統 = = An emission-aware day-ahead power scheduling system for internet of energy /
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以機器學習方法分析財務報表操控之研究 = = Analyzing financial statement manipulation by using machine learning /
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Kaggle競賽 : = 預測分子性質 = Kaggling predicting molecular properties competition /
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一種考慮移動電動汽車排放減量和充電需求的虛擬電廠負載平衡電力調度系統 = = A load-balancing power scheduling system for virtual power plant considering emission reduction and charging demand of moving electric vehicles /
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電動車路徑及充電規劃與電網電力調度整合系統 = = Coordinated electric vehicle charging and power scheduling for the internet of energy /
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以天氣資訊結合資料探勘技術預測藥品耗用量 = = Prediction drug consumption by using climate information and data mining techniques /
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R語言 : = 量表編製、統計分析與試題反應理論 = R programming language for scale development, statistical analysis and item response theory /
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大數據分析與應用實戰 : = 統計機器學習之資料導向程式設計 = Pragmatic big data analytics : statistical machine learning through data-driven programming /
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使用黎曼ζ函數模型於線上資料改變之偵測 = = Riemann Zeta Function Model for Online Data Change Detection /
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利用二元整數規劃演算法解決敏感式樣隱藏問題 = = Solving Sensitive Itemset Hiding Problem by Using Binary Integer Programming Method with Minimal Side Effects /
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在資料串流環境中探勘熱銷週期模型之研究 = = Bursty items detection and hot period modeling in an online stream environment /
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資料探勘理論與應用 = = Data mining theories and applications : 以IBM SPSS Modeler為範例 : in case of IBM SPSS modeler /
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