電機資訊學院: 電信工程學研究所指導教授: 陳光禎孟白眺MANKIR, BaturalpBaturalpMANKIR2017-03-062018-07-052017-03-062018-07-052015http://ntur.lib.ntu.edu.tw//handle/246246/276217廣泛的社會和信息網絡的使用刺激了在各個領域的突破性應用的大 數據分析。我們討論最近提出的方法對數據進行分析 [1]，被叫通信理 論數據分析，其使用通信理論工具上推理問題，特別就浮出水面與發 現的數據的結構。在這項工作中，我們將首先描述這種類似的通信信 道的設置和均衡器的主要直覺。 此後引入的傳播理論被廣泛接受的信息融合方法的應用。既然我們處 理多個信號源，識別的活動源，研究在下面通過擴展問題轉化為多用 戶通信場景Widely usage of social and information networks stimulates the big data analysis for ground-breaking applications in various areas. We discuss a recently proposed approach on data analysis, called communication theoretic data analysis, which uses communication theoretic tools on inference problem, specifically comes to the fore with discovering the structure of data. In this work, we will initially describe the main intuition of this analogous communication channel setup and equalizer. Thereafter introduce applications of widely accepted information fusion methods, over equalized signals, in communication theory. Since we deal with multiple sources,identification of active sources is studied in the following by extending the problem into multi-user communication scenario.1515560 bytesapplication/pdf論文公開時間: 2016/8/16論文使用權限: 同意有償授權(權利金給回饋學校)大數據社交網絡數據分析傳播理論信息論均衡信息融合數據挖掘知識發現多用戶檢測big datasocial networksdata analysiscommunication theoryinformation theoryequalizationinformation fusiondata miningknowledge discoverymulti-user detectionthesishttp://ntur.lib.ntu.edu.tw/bitstream/246246/276217/1/ntu-104-R02942127-1.pdf