博碩士論文 104481008 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:31 、訪客IP:18.216.214.184
姓名 莊泉福(Chuan-Fu Chuang)  查詢紙本館藏   畢業系所 企業管理學系
論文名稱 應用PHP語言開發用戶化全球資訊網探勘系統-以高雄市地政局網站數據為例
(Developing a Customized W3 Mining System with PHP Language: a Case of KLA Website Data)
相關論文
★ 以第四方物流經營模式分析博連資訊科技股份有限公司★ 探討虛擬環境下隱性協調在新產品導入之作用--以電子組裝業為例
★ 動態能力機會擷取機制之研究-以A公司為例★ 探討以價值驅動之商業模式創新-以D公司為例
★ 物聯網行動支付之探討-以Apple Pay與支付寶錢包為例★ 企業資訊方案行銷歷程之探討-以MES為例
★ B2C網路黏著度之探討-以博客來為例★ 組織機制與吸收能力關係之研究-以新產品開發專案為例
★ Revisit the Concept of Exploration and Exploitation★ 臺灣遠距醫療照護系統之發展及營運模式探討
★ 資訊系統與人力資訊科技資源對供應鏈績效影響之研究-買方依賴性的干擾效果★ 資訊科技對知識創造影響之研究-探討社會鑲嵌的中介效果
★ 資訊科技對公司吸收能力影響之研究-以新產品開發專案為例★ 探討買賣雙方鑲嵌關係影響交易績效之機制 ─新產品開發專案為例
★ 資訊技術運用與協調能力和即興能力 對新產品開發績效之影響★ 團隊組成多元性影響任務衝突機制之研究─ 以新產品開發專案團隊為例
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   [檢視]  [下載]
  1. 本電子論文使用權限為同意立即開放。
  2. 已達開放權限電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。
  3. 請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。

摘要(中) 本研究之目的為定義一個新的Web探勘系統框架(Web Mining System Framework, WMSF),設計出經濟的Web探勘架構,開發出一個用戶化全球資訊網探勘系統(Customized W3 Mining System, CWMS),以降低構建Web探勘平台的成本。然後驗證與評估CWMS的Web爬蟲效率與彈性的可調節性與可移植性。本研究方法是將文獻探討所得之理論模式做一整合,並作成研究架構。其理論之推論以Web探勘系統框架的定義、用戶化全球資訊網探勘系統、CWMS的設計與實現、CWMS實驗研究為主。在本研究中,依據Cha等人研究的基於關鍵字的文本數據收集和分析的集成框架的功能體系結構中之Web爬蟲組件與使用者介面組件中的結果視圖面板(Result View Panel, RVP),提出了一個新的Web探勘系統框架(WMSF),並依照Oh等人研究的Script腳本執行和地址提取的過程(虛擬演算法),有效地應用PHP語言開發了用戶化全球資訊網探勘系統(CWMS),該系統組件包括演算法程式、巨量儲存空間和Web伺服器。最後,在CWMS的實驗研究結果已驗證了該系統可以提高Web探勘效率與彈性的可調節性與可移植性。
摘要(英) The aim of this study is to define a new web mining system framework (WMSF), to design an economical web mining architecture, to develop a customized W3 mining system (CWMS) for the cost down on the web mining platform. Then, we verify and evaluate the web crawler efficiency of CWMS and the adjustability and portability of resiliency. The method of the research is to integrate the theoretical model obtained from the literature and to make a research structure. The inference of the theory is with the definition of WMSF, the CWMS, the design and implementation of CWMS and the experimental research of CWMS as a focus. In this study, according to the functional architecture of integrated framework for keyword-based text data collection and analysis studied by Cha et al., and we extract the web crawler component and the result view panel (RVP) of user interface component in the architecture and then reorganize a new WMSF. And then, according to the script execution and address extraction process (virtual algorithm) studied by Oh et al., the effective using PHP language to develop the CWMS which is components include algorithm programs, huge amounts storage space and web server. Finally, in the experimental results of CWMS, we have verified that the system can improve the web crawler efficiency of CWMS and the adjustability and portability of resiliency.
關鍵字(中) ★ Web探勘系統框架
★ 經濟的Web探勘架構
★ 用戶化全球資訊網探勘系統
★ PHP
★ Web爬蟲
關鍵字(英) ★ Web mining system framework
★ Economical web mining architecture
★ Customized W3 mining system
★ PHP
★ Web crawler
論文目次 中文摘要 I
ABSTRACT II
誌謝 IV
目錄 V
表目錄 VII
圖目錄 VIII
一、 緒論 1
1-1研究背景與動機 1
1-2 研究目的 2
二、 文獻探討 4
2-1 WEB爬蟲 4
2-2文本數據收集和分析的集成框架 7
2-3 腳本執行和地址提取的過程 8
三、 WEB探勘系統框架的定義 10
四、 用戶化全球資訊網探勘系統 14
4-1 CWMS輪廓 14
4-2 SCVS的數據格式 15
五、 CWMS的設計與實現 16
六、 CWMS的實驗研究 20
七、 結論 23
7-1研究結論 23
7-2 研究限制及未來研究方向 24
參考文獻 [1] Blazquez, D., & Domenech, J., Web Data Mining For Monitoring Business Export Orientation, Technological and Economic Development of Economy, Vol. 24, No. 2, pp. 406–428, March, 2018.
[2] Oh, H. J., Won, D. H., Kim, C., Park, S. H., & Kim, Y., Design and implementation of crawling algorithm to collect deep web information for web archiving, Data Technologies and Applications, Vol. 52, No. 2, pp. 266-277, 2018.
[3] Amanatidis, T., & Chatzigeorgiou, A., Studying the evolution of PHP web applications, Information and Software Technology, Vol. 72, pp. 48-67, 2016.
[4] Lu, C. T., Yeh, C. S. E., Wang, Y. C., & Yang, C. S., Hybrid Clouds for Web Systems: Usability and Performance, Journal of Internet Technology, Vol. 19, No. 1, pp. 187-195, January, 2018.
[5] Zhao, F., Zhou, J., Nie, C., Huang, H., & Jin, H., SmartCrawler: A Two-stage Crawler for Efficiently Harvesting Deep-Web Interfaces, IEEE Transactions on Services Computing, Vol. 99, pp. 1-14, 2015.
[6] Mason, T., Trochez, C., Thomas, R., Babar, M., Hesso, I., & Kayyali, R., Knowledge and awareness of the general public and perception of pharmacists about antibiotic resistance, BMC Public Health, Vol. 18, No. 711, pp. 1-10, June , 2018.
[7] Sohal1, I. S., O’Fallon, K. S., Gaines, P., Demokritou, P., & Bello1, D., Ingested engineered nanomaterials: state of science in nanotoxicity testing and future research needs, Particle and Fibre Toxicology, Vol. 15, No. 1, pp. 1-31, July , 2018.
[8] Savini, L., Tora, S., Lorenzo, A. D., Cioci, D., Monaco, F., Polci, A., Orsini, M. Calistri, P., & Conte, A., A Web Geographic Information System to share data and explorative analysis tools: The application to West Nile disease in the Mediterranean basin, PLOS ONE, Vol. 13, No. 6, pp. 1-14, June , 2018.
[9] Cha, M., Kwon, J. H., Lee, S. B., Park, J., Youm, S., & Kim1, E. J., Integrated Framework for Keyword-based Text Data Collection and Analysis, Sensors and Materials, Vol. 30, No. 3, pp. 439–445, January, 2018.
[10] Hu, H., Ge, Y., & Hou, D., Using Web Crawler Technology for Geo-Events Analysis: A Case Study of the Huangyan Island Incident, Sustainability, Vol. 6, No. 4, pp. 1896-1912, April, 2014.
[11] Thenmalar, S., & Geetha, T. V., The Modified Concept Based Focused Crawling Using Ontology, Journal of Web Engineering, Vol. 13, No. 5, pp. 525-538, November, 2014.
[12] Hsu, P. Y., Hsieh, S. T., & Chuang, Y. C., Effective memory reusability based on user distributions in a cloud architecture to support manufacturing ubiquitous computing, International Journal of Computer Integrated Manufacturing, Vol. 30, No. 4, pp. 459-471, 2017.
[13] Tsai, W. H., Chou, W. C., & Leu, J. D., An Effectiveness Evaluation Model for the Web-based Marketing of the Airline Industry, Expert Systems with Applications, Vol. 38, No. 12. pp. 15499-15516, November–December, 2011.
[14] Chen, S. S., Chuang, Y. W., & Chen, P. Y., Behavioral Intention Formation in Knowledge Sharing: Examining the Roles of KMS Quality, KMS Self-Efficacy, and Organizational Climate, Knowledge-based Systems, Vol. 31, pp. 106-118, July, 2012.
[15] Thapar, V., & Gupta, O.P., PI3 Performance Model of Software as a Service (SaaS) Cloud Environment, International Journal of Advanced Research in Computer Science, Vol. 8, No. 3, pp. 926-937, Mar/Apr, 2017.
[16] Shen, C. W., Hsu, P. Y., & Peng, Y. T., The Impact of data environment and profitability on business intelligence adoption, Lecture Notes in Artificial Intelligence, Vol. 7197, pp. 185-193, 2012.
指導教授 陳炫碩(Shiuann-Shuoh Chen) 審核日期 2019-6-18
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明