系統識別號 | U0002-2706201914500100 |
---|---|
DOI | 10.6846/TKU.2019.00916 |
論文名稱(中文) | 資料探勘於 Facebook 直播商業模式發展之研究 |
論文名稱(英文) | The Study of Data Mining Approach Implements on Facebook Live Streaming Business Model development |
第三語言論文名稱 | |
校院名稱 | 淡江大學 |
系所名稱(中文) | 經營管理全英語碩士學位學程 |
系所名稱(英文) | Master's Program in Business and Management (English-Taught Program) |
外國學位學校名稱 | |
外國學位學院名稱 | |
外國學位研究所名稱 | |
學年度 | 107 |
學期 | 2 |
出版年 | 108 |
研究生(中文) | 潘品茗 |
研究生(英文) | Pimchanok Puttong |
學號 | 606585213 |
學位類別 | 碩士 |
語言別 | 英文 |
第二語言別 | |
口試日期 | 2019-06-13 |
論文頁數 | 127頁 |
口試委員 |
指導教授
-
廖述賢(michael@mail.tku.edu.tw)
委員 - 王瑞源 委員 - 李旭華(hxl120@hotmail.com.tw) |
關鍵字(中) |
社群媒體 社群互動 資料探勘 Facebook Live Streaming 商業模式 |
關鍵字(英) |
Social media Social interaction Data mining Facebook Live Streaming Business model |
第三語言關鍵字 | |
學科別分類 | |
中文摘要 |
Facebook Live已迅速在流媒體世界中流行起來。儘管它是一個新進入市場的人,但近80%的線上視頻觀眾已經在平臺上觀看。最重要的是,Facebook Live受眾群體非常投入:他們觀看直播視頻的時間比預先錄製的視頻長三倍,並以10倍的速度對其進行評論。在每週觀看直播的消費者中,Facebook Live上的觀看量超過任何其他頻道。本研究探討了用戶體驗,以瞭解用戶的行為,包括他們與其他用戶的互動。這項研究還達到了我們的最終目標,即提出新的服務和功能,以滿足具有不同特徵和消費習慣的使用者,提供有價值的商業模式。通過來自1,082名受訪者的資料庫的結構化集合,我們首先應用K-means聚類將Facebook Live用戶分組為(1)k-pop男孩,(2)學生博主,以及(3)Fanfiction;然後實現關聯分析以生成解釋三種模式之間關係的關聯規則。最後,研究結果告訴管理者獲取用戶注意力的重要性,並在管理隱含部分中揭示Facebook Live上購物活動的可能性。 |
英文摘要 |
Facebook Live has quickly become popular in the streaming media world. Nearly 80 percent of online- video audiences are already watching on the platform, despite it being a newer entrant to the market. Most importantly, Facebook Live audiences are highly engaged: They watch live videos three times longer than pre-recorded ones and comment on them at 10 times the rate. And among consumers who view live-streams on a weekly basis, more watch on Facebook Live than any other channel. This study examines user experiences to understand users’ behavior, including their interaction with other users. This study also reaches our final goal to suggest new services and functions that cater to users with different characteristics and consuming habits, delivering valuable business models. By a structured collection of the database from 1,082 respondents, we first apply K-means clustering to group Facebook Live users into (1) k-pop boys, (2) Student bloggers, and (3) Fanfiction; association analysis is then implemented to generate association rules that explain the relationship among three patterns. Finally, study results inform managers of the importance of gaining users attention and reveal the possibility for shopping activity on Facebook Live in the managerial implication section. |
第三語言摘要 | |
論文目次 |
Index Acknowledgement i Chiness Abstract iii English Abstract iii List of Figures vi List of Tables viii Chapter 1. Introduction 1 1.1 Background of the study 1 1.2 Statements of the problem 3 Chapter 2. Literature Review 7 2.1 Facebook Live 7 2.1.1 The evolution of Live Video Streaming 7 2.1.2 Facebook Live concept 9 2.2 Business model 10 2.2.1 Business model concept 10 2.2.2 Osterwalder’s business model canvas 11 2.3 Data mining 14 2.3.1 Data mining definition 14 2.3.2 Data mining key techniques 17 2.3.3 Sum-up 20 Chapter 3. Methodology 21 3.1 Research design 21 3.2 Database design 23 3.2.1 Data collection 23 3.2.2 Data modeling 24 3.3 Questionnaire design 31 3.4 Data analysis 35 3.4.1 Cluster Analysis 35 3.4.2 Association Rules 41 Chapter 4. Results and Discussion 43 4.1 Pattern-1 Relationship of Facebook Live user behavior and social media behavior 43 4.1.1 Sum up 52 4.2 Pattern-2 Relationship of adding value and social interaction on Facebook Live 55 4.2.1 Sum-up 62 4.3 Pattern-3 Relationship of consumer preference and Facebook Live business model 65 4.3.1 Sum-up 75 Chapter 5. Conclusion and Managerial Implication 78 5.1 Conclusion 78 5.2 Managerial Implication 80 5.2.1 Implications on Facebook Live user behavior and user retention 81 5.2.2 Implications on Facebook Live function & service development 89 5.2.3 Implications on Facebook Live consumer preference and social media marketing 96 5.3 Recommendations for Further Research 104 Reference 106 Appendix A 119 Appendix B 123 List of Figures Figure 1: Contribution of broadcasters and viewers 3 Figure 2: the number of Pages using Facebook Live 4 Figure 3: Business model canvas. 12 Figure 4: Association rules 18 Figure 5: Research framework 22 Figure 6: Data Modeling Process 26 Figure 7: E-R diagram 28 Figure 8: Logical data model 30 Figure 9: Physical data model 31 Figure 10: Questionnaire framework 33 Figure 11: K-mean cluster analysis 35 Figure 12: K-mean cluster comparison 36 Figure 13: Cluster-1 Relationship of Facebook Live user behavior and social media behavior 44 Figure 14: Cluster-2 Relationship of Facebook Live user behavior and social media behavior 47 Figure 15: Cluster-3 Relationship of Facebook Live user behavior and social media behavior 50 Figure 16: Cluster-1 Relationship of adding value and social interaction on Facebook Live 55 Figure 17: Cluster-2 Relationship of adding value and social interaction on Facebook Live 58 Figure 18: Cluster-3 Relationship of adding value and social interaction on Facebook Live 60 Figure 19: Cluster-1 Relationship of consumer preference on Facebook Live business model 65 Figure 20: Cluster-2 Relationship of consumer preference on Facebook Live business model 68 Figure 21: Cluster-3 Relationship of consumer preference on Facebook Live business model 70 Figure 22: Facebook Live campaign in Thailand 81 Figure 23: Facebook Live function section (Tagging, Sharing Location) 84 Figure 24: Knowledge map of Facebook Live user behavior and social media behavior relationship 87 Figure 25: Facebook Live interact section 91 Figure 26: Knowledge map of adding value and social interaction on Facebook Live relationship 94 Figure 27: Number advertise on Facebook 97 Figure 28: Advertising on Facebook 98 Figure 29: Facebook Advertising gift card. 99 Figure 30: Knowledge map of consumer preference and Facebook Live business model relationship 102 List of Tables Table 1: Study timeframe 6 Table 2: Definitions of data mining 15 Table 3: Questionnaire statistics 24 Table 4: Entity Relationship Diagram Symbols 27 Table 5: the socio-demographic profile from respondents 34 Table 6: K-means clusters and categories 39 Table 7: Cluster-l Relationship of Facebook Live user behavior and social media behavior 45 Table 8: Cluster-2 Relationship of Facebook Live user behavior and social media behavior 48 Table 9: Cluster-3 Relationship of Facebook Live user behavior and social media behavior 51 Table 10: Pattern-1 Clusters comparison 53 Table 11: Cluster-1 Relationship of adding value and social interaction on Facebook Live 56 Table 12: Cluster-2 Relationship of adding value and social interaction on Facebook Live 58 Table 13: Cluster-3 Relationship of adding value and social interaction on Facebook Live 61 Table 14: Pattern-2 Clusters comparison 63 Table 15: Cluster-1 Relationship of consumer preference on Facebook Live business model 66 Table 16: Cluster-2 Relationship of consumer preference on Facebook Live business model 69 Table 17: Cluster-3 Relationship of consumer preference on Facebook Live business model 71 Table 18: Facebook Live users’online shopping preference 73 Table 19: Pattern-3 Clusters comparison 76 Table 20: Facebook Live user behavior and retention implications 86 Table 21: Facebook Live function and service development 93 Table 22: Facebook Live consumer preference and social media marketing implications 101 |
參考文獻 |
Reference Abdul K. A., N. & Sebastian M. P. (2009). Improving the Accuracy and Efficiency of the k-means Clustering Algorithm. Proceedings of the World Congress on Engineering Vol I, London, U.K. Ahamed, S. B. M. & Hareesha, K. S. (2012). Dynamic Clustering of Data with Modified K-Means Algorithm. Department of Computer Science & Engineering, Manipal Institute of Technology, Manipal. International Conference on Information and Computer Networks (ICICN 2012) Animal, Z, Edwards, K., Kumar, Pilades, P., Rdz, J., & Agios Nikolaos. (2018, November 16). Facebook Video: The Guide Marketers Are Looking For. Retrieved from https://adespresso.com/blog/facebook- video-marketing/ Apostolopoulos, J., Tan, W., & Wee, S. (2002). Video Streaming: Concepts, Algorithms, and Systems. Mobile and Media Systems Laboratory. HP Laboratories Palo Alto. Arend, R. J. (2013). The business model: Present and future—beyond a skeumorph. Strategic Organization,11(4), 390-402. doi:10.1177/1476127013499636 Arthur, B. (2011). Business Model Canvas. Retrieved from http://www.brittanyarthur.com/business-model-canvas Barhatov, V., Campa, A., & Pletnev, D. (2018). The Impact of Internet-Technologies Development on Small Business Success in Russia. Procedia - Social and Behavioral Sciences,238, 552-561. doi:10.1016/j.sbspro.2018.04.035 Baruah, D. T. (2012, May). Effectiveness of Social Media as a tool of communication and its potential for technology-enabled connections: A micro-level study. International Journal of Scientific and Research Publications, ISSN 2250-3153, 2(5), 1-10 Berger, J. (2017). Quality evaluation of streaming video on mobile networks. Retrieved from http://the-mobile- network.com/2019/03/white-paper-quality-evaluation-of-streaming- video-on-mobile-networks/ Binsahl, H., Chang, S., & Bosua, R. (2015). Identity and belonging: Saudi female international students and their use of social networking sites. Crossings: Journal of Migration & Culture,6(1), 81-102. doi:10.1386/cjmc.6.1.81_1 Bowman, M. (2018, April 02). Video Marketing: The Future of Content Marketing. Retrieved from https://www.forbes.com/sites/forbesagencycouncil/2017/02/03/video-marketing-the-future-of-content-marketing/ Boyd, D. (2007). Why youth (heart) social network sites: The role of networked publics in teenage social life. In D. Buckingham (Ed.), McArthur foundation series on digital learning—youth, identity, and digital media. doi:10.31219/osf.io/22hq2. Burkhart, T., Werth, D., Krumeich, J., & Loos, P. (2011). Analyzing the Business Model Concept - A Comprehensive Classification of Literature. German Research Center for Artificial Intelligence (DFKI), Institute for Information Systems (IWi) Saarbrücken, Germany. https://www.researchgate.net/publication/221599299 Castillo, M. (2017, March 6). Mark Zuckerberg put employees on ‘lockdown’ for two months to launch Facebook Live. Retrieved from https://www.cnbc.com/2017/03/06/zuckerberg-put-employees-on- lockdown-to-launch-facebook-live-wsj.html Chaffey, D. (2018, March 05). The top digital marketing trends for 2018. Retrieved from https://www.smartinsights.com/digital-marketing-strategy/the-top-digital-marketing-trends-for-2018/ Chan, N. K., & Su, C. C. (2017). Predicting social capital on Facebook: The implications of use intensity, perceived content desirability, and Facebook-enabled communication practices. Computers in Human Behavior, 72, 259-268. doi:10.1016/j.chb.2017.02.058 Chen, F., Deng, P., Wan, J., Zhang, D., Vasilakos, A. V., & Rong, X. (2015). Data Mining for the Internet of Things: Literature Review and Challenges. International Journal of Distributed Sensor Networks, 11(8), 431047. doi:10.1155/2015/431047 Cheng, C. (2018). The Study of Data Mining Approach Implements on Instagram Business Model. Tamkang University. Taiwan Conceptdraw. (2019). Entity Relationship Diagram Symbols. Retrieved from https://www.conceptdraw.com/How-To-Guide/erd-entity-relationship- diagram-symbols Constine, J. (2017, June 27). Facebook now has 2 billion monthly users and responsibility. Retrieved from https://techcrunch.com/2017/06/27/facebook-2-billion-users/ Constine, J., & Constine, J. (2016, January 28). Facebook Takes on Periscope by Giving Live Streaming to All U.S. iPhoners. Retrieved from https://techcrunch.com/2016/01/28/comfortable-ephemerality-vs-reach/ Dane, J. (2019, January 20). New Facebook Advertising Research for Marketers. Retrieved from https://www.socialmediaexaminer.com/new-facebook-advertising-research-for-marketers/ Dougherty, A. (2011). Live-streaming mobile video. Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services - MobileHCI 11. doi:10.1145/2037373.2037437 Dubey, A., & Choubey, A. (2017). A Systematic Review on K-Means Clustering Techniques. International Journal of Scientific Research Engineering & Technology (IJSRET), ISSN 2278 - 0882. 6(6), 624-627. Faber, G. (2017, October 30). Lesson 4: Allow viewers to influence the broadcast or live stream. Retrieved from https://medium.com/exmachinagroup/lesson-4-allow-viewers-to-influence-the-broadcast-or-live-stream-73eff6bc008d Facebook Business. (2019). Johnson’s Baby Thailand - Building Custom Audiences through Facebook lead ads. Retrieved from https://www.facebook.com/business/success/johnsons-baby-thailand Farhadpoor, R. M. & Soltani, G. (2017). A Study of Users’ Motivation in using Information Services of Regional Information Center for Science and Technology. Ahvaz Branch, Islamic Azad University, Ahvaz, Iran. University of Nebraska - Lincoln. Library Philosophy and Practice. García-Domingo, M., Aranda, M., & Fuentes, V. M. (2017). Facebook Use in University Students: Exposure and Reinforcement Search. Procedia - Social and Behavioral Sciences,237, 249-254. doi:10.1016/j.sbspro.2017.02.071 Gerardnico. (2019, March 27). Data Modeling - Data Model. Retrieved from https://gerardnico.com/data/modeling/data_model Globalwebindex. (2018). Social Video trends report. Retrieved from https://cdn2.hubspot.net/hubfs/304927/Downloads/Social-Video-Report.pdf?t=1522336485606 Goele, S. & Chanana, N. (2012). Data mining trend in past, current and future. University School of Management, Kurukshetra University. International Journal of Computing & Business Research. ISSN (Online): 2229-6166. Proceedings of I-Society 2012 at GKU, Talwandi Sabo Bathinda (Punjab). Gotter, A., Karlson, K., Sarah, Rosendahl, D., Sorrell, K., Chavez, M. Digital Santhosh. (2019, March 29). Top Facebook Updates That You Can't Afford to Miss - March 2019 Edition. Retrieved from https://adespresso.com/blog/top-updates-facebook-monthly-need-know-now/ Guru99. (2019). What is Data Modelling? Conceptual, Logical, & Physical Data Models. Retrieved from https://www.guru99.com/data-modelling- conceptual-logical.html Haimson, O. L., & Tang, J. C. (2017). What Makes Live Events Engaging on Facebook Live, Periscope, and Snapchat. Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems - CHI 17. doi:10.1145/3025453.3025642 Hamilton, W. A., Tang, J., Venolia, G., Inkpen, K., Zillner, J., & Huang, D. (2016). Rivulet. Proceedings of the ACM International Conference on Interactive Experiences for TV and Online Video - TVX 16. doi:10.1145/2932206.2932211 Han, J., & Kamber, M. (2012). Data mining: Concepts and techniques. Simon Fraser University Haryana, India: Elsevier. Honan, M. (2016, April 06). Why Facebook And Mark Zuckerberg Went All In On Live Video. Retrieved from https://www.buzzfeednews.com/article/mathonan/why-facebook-and-mark-zuckerberg-went-all-in-on-live-video Hu, M., Zhang, M., & Wang, Y. (2017). Why do audiences choose to keep watching on live video streaming platforms? An explanation of dual identification framework. Computers in Human Behavior,75, 594-606. doi:10.1016/j.chb.2017.06.006 Jackson, K. (2017, December 05). I Spy: Addressing the Privacy Implications of Live Streaming Technology and the Current Inadequacies of the Law. Columbia journal of law & the arts, (41), 125-152 Jain, R. (2003). Introduction to Data Mining Techniques. National Institute of Agricultural Economics and Policy Research. NIAP. Jama, A. M., Khalifa, O. O., & Ahmed, D. E. (2015). Video Transmission over an Enhancement Approach of IEEE802.11e. International Journal of Computer Applications Technology and Research,4(5), 344-350. doi:10.7753/ijcatr0405.1003 James, F. (2017). The Facebook live streaming benchmark report 2017. Retrieved from https://www.wowza.com/blog/the-facebook-live-streaming-benchmark-report-2017 Karlson, K., & Dan. (2017, September 09). 55 Facebook Ads That Get the Holiday Advertising Right. Retrieved from https://adespresso.com/blog/facebook-ads-examples-for-black-friday-and-holiday-advertising/ Kozamernik, F. (2002). Media Streaming over the Internet - an overview of delivery technologies. EBU Technical Department Lambert, S., & Montemari, M. (2017). Business Model Research: From Concepts to Theories. International Journal of Business and Management,12(11), 41. doi:10.5539/ijbm.v12n11p41 Lee, S. M. (2013). Translation of ER-diagram into Relational Schema Relational Schema. Department of Computer Science. Dakota State University. Retrieved from https://www.coursehero.com/file/8507975/ 25FL7TranslatingERDiagram/ Li, N. & Zhang, P. (2002, December). Consumer Online Shopping Attitudes And Behavior: An Assessment Of Research. Syracuse University. Association for Information Systems AIS Electronic Library (AISeL). Americas Conference on Information Systems (AMCIS). Lind, J. (2018). The Role and Potential of Live Streaming in Marketing for Small and Medium-sized Enterprises. International Sales & Marketing. University of Applied Sciences. Linke, K. (2011, December). Generation Facebook? - The History of Social Networks. University of Applied Science Kufstein Andreas Hofer- Straße 7 6330 Kufstein, Austria. Lottridge, D., Bentley, F., Wheeler, M., Lee, J., Cheung, J., Ong, K., & Rowley, C. (2017). Third-wave livestreaming. Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services - MobileHCI 17. doi:10.1145/3098279.3098540 Lua, A. (2019, January 24). 21 Top Social Media Sites to Consider for Your Brand -. Retrieved from https://buffer.com/library/social-media-sites Lukeš, J. (2016, November 25). Facebook Live and Periscope: Live Streaming by The Numbers. Retrieved from https://www.socialbakers.com/blog/2642-facebook-live-and-periscope- live-streaming-by-the-numbers Madden, M. (2016, January 25). Privacy management on social media sites. Retrieved from https://www.pewinternet.org/2012/02/24/privacy-management-on-social-media-sites/ Melissa, D. (2016). The History and Rise of Live Video Streaming. In Video, Marketing Retrieved from https://fmgsuite.com/market-in-motion/live- video-streaming-history/ Mohit, S., Raj, K. & Dushyant, K. (2018, July). Data mining trend in past, current and future. Conference on Recent Innovation in Emerging Technology & Science, At Dehradun. 217-222. doi:10.1729/IJCRT.17846 Morris, M., Schindehutte, M., & Allen, J. (2005). The entrepreneur’s business model: Toward a unified perspective. Journal of Business Research, 58(6), 726-735. https://doi.org/10.1016/j.jbusres.2003.11.001 Mortimer, N. (2016, January 26). Facebook extends Audience Network to support mobile web Retrieved from https://www.thedrum.com/news/2016/01/26/facebook-extends-audience-network-support-mobile-web Obrien, H. L., & Toms, E. G. (2008). What is user engagement? A conceptual framework for defining user engagement with technology. Journal of the American Society for Information Science and Technology, 59(6), 938-955. doi:10.1002/asi.20801 Osterwalder, A. (2004). The business model ontology a proposition in a design science approach. University of Lausanne, Lausanne, Switzerland. Osterwalder, A., & Pigneur, Y. (2013). Business model generation a handbook for visionaries, game changers, and challengers. New York: Wiley & Sons. Patel, N. (2019). 19 Ideas for a Facebook Live Video to Boost Brand Awareness. Retrieved from https://neilpatel.com/blog/facebook-live- brand-awareness/ Peterson, A. (2018, August 24). How Artificial Intelligence (AI) is Used in Targeted Marketing. Retrieved from https://azati.com/artificial-intelligence-targeted-marketing/ Rai, P., & Singh S., (2010). A Survey of Clustering Techniques. International Journal of Computer Applications. Kanpur Institute of Technology, India. 7(12). doi: 10.5120/1326-1808 Ramageri, B. M. (2010). Data Mining Techniques and Applications. Department of Computer Application, Yamunanagar, Nigdi Pune, Maharashtra, India,1(4), 301-305. doi:10.1007/978-3-540-34351-6_7 Raman, A., Tyson, G., & Sastry, N. (2018). Facebook (A)Live? Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW 18. doi:10.1145/3178876.3186061 Regan, H. (2019, January 24). Facebook Live Stream Tips & Tactics: Best Practices Guide for Broadcasters. Retrieved from https://www.wowza.com/blog/facebook-live-tips-for-broadcasters Rijmenam, M. V. (2016, January 02). Five Data Mining Techniques That Help Create Business Value. Retrieved from https://datafloq.com/read/data-mining-techniques-create-business-value/121 Roberts, K. (2010). Privacy and perceptions: How Facebook advertising affects its users. Journal of Undergraduate Research in Communications. 1(1), 24-34. Rouse, M. (2018, November). Introduction to data mining: Association analysis. Retrieved from https://searchbusinessanalytics.techtarget.com/feature/Introduction-to-data-mining-Association-analysis Rouse, M. (2019, February). What is data mining? - Definition from WhatIs.com. Retrieved from https://searchsqlserver.techtarget.com/definition/data-mining Sahu, H., Shrma, S., & Gondhalakar, S. (2011). A Brief Overview on Data Mining Survey. International Journal of Computer Technology and Electronics Engineering (IJCTEE), 1(3), 114-121 Showkat, N., & Parveen, H. (2017). Non-probability Sampling Survey Methods. Non-Probability and Probability Sampling. Communications Research doi:10.1007/springerreference_205130 Simison, G. C. & Witt, G. C. (2005). Data Modeling Essentials. 3rd Edition. Morgan Kaufmann Publishers. ISBN 0-12-644551-6 Solaja, O. & Odiaka, S. (2010, September). Advertisement in the new media gains ground. MarkComm Digest 14, 32-33. Stelter, B. (2016). Philando Castile and the power of Facebook Live. https://money.cnn.com/2016/07/07/media/facebook-live-streaming- police-shooting/index.html Steorts, R. C. (2015, August 25). Introduction to predictive modeling and data mining. Predictive Modeling and Data Mining: STA 521 Supriya, B., Vinayak, P. & Vijaysinh, C. (2015). A Review on Video Streaming in Education. Department of CSE, Solapur University SKN Sinhgad College of Engineering. Korti, Pandharpur, Maharashtra, India Tang, J. C., Venolia, G., & Inkpen, K. M. (2016). Meerkat and Periscope. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems - CHI 16. doi:10.1145/2858036.2858374 Tay, V. (2018, April 06). Shopee found to be the most popular e-commerce site for Indonesian mothers. Retrieved from https://www.marketing-interactive.com/shopee-found-to-be-the-most-popular-e-commerce-site-for-indonesian-mothers/ Thawornsujaritkul, T. (2018). The Analysis of Business Model Canvas for Otop Business In Rayong Province, Thailand. Faculty of Business Administration King Mongkut’s University of Technology North Bangkok Rayong Campus. Rayong, Thailand The Economic times. (2016). Definition of ‘Data Mining’. Retrieved from https://economictimes.indiatimes.com/definition/data-mining Upward, A. (2013, September 13). Towards an Ontology and Canvas for Strongly Sustainable Business Models: A Systemic Design Science Exploration. Environmental Studies. York University. Toronto, Ontario Retrieved from http://hdl.handle.net/10315/20777 Violino, B. (2017, August 25). What is data mining? Explained: How analytics uncovers insights. Retrieved from https://www.infoworld.com/article/3218151/what-is-data-mining-how-analytics-uncovers-insights.html Wikipedia. (2019, March 27). Data mining. Retrieved from https://en.wikipedia.org/wiki/Data_mining Wikipedia. (2018a, October 14). Data modeling. Retrieved from https://en.wikipedia.org/wiki/Data_modeling Wikipedia. (2019b, April 1). Entity - relationship model. Retrieved from https://en.wikipedia.org/wiki/Entity%E2%80%93relationship_model Wikipedia. (2019c, January 11). Logical data model. Retrieved from https://en.wikipedia.org/wiki/Data_modeling Wikipedia. (2018d, March 23). Physical data model. Retrieved from https://en.wikipedia.org/wiki/Physical_data_model Wilbert, M. (2019, February 13). 7 Reasons Mark Zuckerberg thinks Live Video is the Future. Retrieved from https://www.dacast.com/blog/mark-zuckerberg-live-video-future/ Wilbert, M. (2019a, March 22). How to Engage Your Audience with Video Streaming. Retrieved from https://www.dacast.com/blog/more-video-streaming-engagement/ Zaïane, R. O. (1999). Principles of knowledge discovery in databases. Department of Computing Science, University of Alberta Zott, C., Amit, R. H., & Massa, L. (2011). The Business Model: Recent Developments and Future Research. SSRN Electronic Journal. doi:10.2139/ssrn.1674384 |
論文全文使用權限 |
如有問題,歡迎洽詢!
圖書館數位資訊組 (02)2621-5656 轉 2487 或 來信