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題名:以兩階段資料處理法改善大數據中不活躍使用者資料不可用的問題
書刊名:資訊科技國際期刊
作者:王淑卿 引用關係王順生嚴國慶 引用關係邱怡瑄黃學馴
出版日期:2016
卷期:10:2
頁次:頁23-32
主題關鍵詞:大數據6用問題布隆過濾器Big dataSix usage issuesBloom filter
原始連結:連回原系統網址new window
相關次數:
  • 被引用次數被引用次數:期刊(1) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:1
  • 共同引用共同引用:0
  • 點閱點閱:4
期刊論文
1.Ron, K.、Kahan, R.(1998)。Using Database marketing Techniques to Enhance Your One-to-One Marketing Initiatives。Journal of Consumer Marketing,15(5),491-493。  new window
2.Goodman, J.(1992)。Leveraging the Customer Database to your Competitive Advantage。Direct Marketing,55(8),26-27。  new window
3.Jacobs, Adam(2009)。The pathologies of big data。Communications of the ACM,52(8),36-44。  new window
4.Hughes, A. M.(1996)。Boosting response with RFM。American Demographics,5,4-10。  new window
5.朱揚勇、熊贇(2015)。大數據是數據,技術,還是應用。大數據,1,2015007(1)-2015007(11)。  延伸查詢new window
6.Howe, Doug、Costanzo, Maria、Fey, Petra、Gojobori, Takashi、Hannick, Linda、Hide, Winston、Hill, David P.、Kania, Renate、Schaeffer, Mary、St Pierre, Susan(2008)。Big data: The future of biocuration。Nature,455(7209),47-50。  new window
7.Bloom, Burton H.(1970)。Space/time trade-offs in hash coding with allowable errors。Communications of the ACM,13(7),422-426。  new window
8.Atzori, Luigi、Iera, Antonio、Morabito, Giacomo(2010)。The Internet of Things: A Survey。Computer Networks,54(15),2787-2805。  new window
會議論文
1.陳彤生(2002)。運用改良RFM 提升行銷效益的實證研究。第七屆人工智慧與應用研討會。  延伸查詢new window
2.王順生、王淑卿、陳聖中、楊欲富(2013)。雲端運算環境中以檔案熱門程度的浮動門檻進行檔案副本儲存一致性的快速調節策略。第八屆智慧生活科技研討會,1341-1348。  延伸查詢new window
3.Baldor, S. A.(2013)。Applying a Cloud Computing Approach to Storage Architectures for Spacecraft。IEEE Aerospace Conference,1-6。  new window
4.Antichi, G.、Pietro, A. D.、Ficara, D.、Giordano, S.、Russo, F.、Vitucci, F.(2010)。Achieving Perfect Hashing through an Improved Construction of Bloom Filters。IEEE International Conference on Communications,1-5。  new window
5.Chen, T.、Liu, F.、Xiao, N.(2009)。RADPA Reliability-aware Data Placement Algorithm for Large-scale Network Storage Systems。IEEE International Conference on High Performance Computing and Communications,648-653。  new window
6.Papadopoulos, A.、Katsaros, D.(2011)。A-Tree: Distributed Indexing of Multidimensional Data for Cloud Computing Environments。Third International Conference on Cloud Computing Technology and Science,407-414。  new window
7.Luo, T.、Chen, G.、Zhang, Y.(2013)。H-DB: Yet Another Big Data Hybrid System of Hadoop and DBMS。International Conference on Algorithms and Architectures for Parallel,324-335。  new window
8.Paul, B.、Lee, G.、Alon, H.、Jiawei, H.、Marti, H.、Jure, L.(2013)。Channeling the Deluge: Research Challenges for Big Data and Information Systems。The 22nd ACM International Conference on Information & Knowledge Management,2537-2538。  new window
9.Wei, J.、Jiang, H.、Zhou, K.、Feng, D.(2011)。DBA: A Dynamic Bloom Filter Array for Scalable Membership Representation of Variable Large Data Sets。The 19th International Symposium on Modeling, Analysis & Simulation of Computer and Telecommunication Systems,466-468。  new window
學位論文
1.連惟謙(2004)。應用資料分析技術進行顧客流失與顧客價值之研究(碩士論文)。中原大學。  延伸查詢new window
2.陳聖中(2013)。以熱門程度為基礎在雲端運算環境中建構可自適應檔案複製機制(碩士論文)。朝陽科技大學。  延伸查詢new window
圖書
1.Zikopoulos, Paul、Eaton, Chris(2011)。Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data。McGraw-Hill Osborne Media。  new window
2.林陽助(2003)。服務行銷。鼎茂出版社。  延伸查詢new window
3.Chan, W. K.、Mauborgne, R.(2005)。Blue Ocean Strategy。INSEAD Blue Ocean Strategy Institute。  new window
 
 
 
 
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