Gotowa bibliografia na temat „Popularity detection”
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Artykuły w czasopismach na temat "Popularity detection"
Zhang, Xiaoming, Xiaoming Chen, Yan Chen, Senzhang Wang, Zhoujun Li i Jiali Xia. "Event detection and popularity prediction in microblogging". Neurocomputing 149 (luty 2015): 1469–80. http://dx.doi.org/10.1016/j.neucom.2014.08.045.
Pełny tekst źródłaNN, Mrs Deepti. "D-SCAN : DEPRESSION DETECTION". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, nr 04 (23.04.2024): 1–5. http://dx.doi.org/10.55041/ijsrem31462.
Pełny tekst źródłaMiao, Zhongchen, Kai Chen, Yi Fang, Jianhua He, Yi Zhou, Wenjun Zhang i Hongyuan Zha. "Cost-Effective Online Trending Topic Detection and Popularity Prediction in Microblogging". ACM Transactions on Information Systems 35, nr 3 (9.06.2017): 1–36. http://dx.doi.org/10.1145/3001833.
Pełny tekst źródłaWolcott, M. J. "Advances in nucleic acid-based detection methods." Clinical Microbiology Reviews 5, nr 4 (październik 1992): 370–86. http://dx.doi.org/10.1128/cmr.5.4.370.
Pełny tekst źródłaHao, Yaojun, Peng Zhang i Fuzhi Zhang. "Multiview Ensemble Method for Detecting Shilling Attacks in Collaborative Recommender Systems". Security and Communication Networks 2018 (11.10.2018): 1–33. http://dx.doi.org/10.1155/2018/8174603.
Pełny tekst źródłaSkaperas, Sotiris, Lefteris Mamatas i Arsenia Chorti. "Real-Time Video Content Popularity Detection Based on Mean Change Point Analysis". IEEE Access 7 (2019): 142246–60. http://dx.doi.org/10.1109/access.2019.2940816.
Pełny tekst źródłaSingha, Subroto, i Burchan Aydin. "Automated Drone Detection Using YOLOv4". Drones 5, nr 3 (11.09.2021): 95. http://dx.doi.org/10.3390/drones5030095.
Pełny tekst źródłaMadana Mohana, R., Paramjeet Singh, Vishal Kumar i Sohail Shariff. "Brutality detection and rendering of brutal frames". MATEC Web of Conferences 392 (2024): 01072. http://dx.doi.org/10.1051/matecconf/202439201072.
Pełny tekst źródłaSatwik, Pallerla. "Hate Speech Detection". International Journal for Research in Applied Science and Engineering Technology 12, nr 3 (31.03.2024): 1646–49. http://dx.doi.org/10.22214/ijraset.2024.59053.
Pełny tekst źródłaPatil, Vaibhavi, Sakshi Patil, Krishna Ganjegi i Pallavi Chandratre. "Face and Eye Detection for Interpreting Malpractices in Examination Hall". International Journal for Research in Applied Science and Engineering Technology 10, nr 4 (30.04.2022): 1119–23. http://dx.doi.org/10.22214/ijraset.2022.41456.
Pełny tekst źródłaRozprawy doktorskie na temat "Popularity detection"
Hsu, Yu-Song, i 許煜松. "A Fast Detection Algorithm on Popularity Modeling". Thesis, 2007. http://ndltd.ncl.edu.tw/handle/03362414636695668535.
Pełny tekst źródła國立清華大學
資訊工程學系
95
Popularity of publications, such as CDs, books, and movies, is critical to circulations and incomes. However, an erroneous prediction of popularity of publications causes unnecessary costs, or lost due to underproduction. Hence, the analysis of popularity of products has become an important issue. Our purpose in this research was to detect the trend before a publication becomes popular. Generally, the time series of popularity of a product can be divided into three phases – the slow-start phase, the fast-growing phase, and the slow-end phase. We proposed a two-stages detecting algorithm, which monitored the popularity with a CUSUM mechanism, verified the monitoring by comparing the distributions of past and future data to find the outbreak point, predicted the future trend of popularity, and then detected the time that the growth slows down. Thus, the data series was divided into the three mentioned phases. Through some simulation results with real data, the rate of accuracy on detecting outbreak points was over 90%, and over 80% on detecting cool-down points. This exhibits that the proposed algorithm improves efficiency and accuracy while predicting popularity of publications.
"Social Media Analytics for Crisis Response". Doctoral diss., 2015. http://hdl.handle.net/2286/R.I.29691.
Pełny tekst źródłaDissertation/Thesis
Doctoral Dissertation Computer Science 2015
Książki na temat "Popularity detection"
Copyright Paperback Collection (Library of Congress), red. Play it again. New York: Volo, 2001.
Znajdź pełny tekst źródłaIdentität ermitteln: Ethnische und postkoloniale Kriminalromane zwischen Popularität und Subversion. Würzburg: Königshausen & Neumann, 2011.
Znajdź pełny tekst źródłaRevenge of the homecoming queen. New York: Berkley Jam, 2007.
Znajdź pełny tekst źródłaGildersleeve, Jessica, i Kate Cantrell. Screening the Gothic in Australia and New Zealand. Nieuwe Prinsengracht 89 1018 VR Amsterdam Nederland: Amsterdam University Press, 2022. http://dx.doi.org/10.5117/9789463721141.
Pełny tekst źródłaHenderson, Lauren. Nụ hôn thần chết. Hà Nội: NXB Văn hóa thông tin, 2009.
Znajdź pełny tekst źródłaScripted. New York, NY: G. P. Putnam's Sons, an imprint of Penguin Group (USA), 2015.
Znajdź pełny tekst źródłaHenderson, Lauren. Kiss me kill me. New York: Delacorte Press, 2008.
Znajdź pełny tekst źródłaHenderson, Lauren. Kiss Me Kill Me. New York: Random House Children's Books, 2009.
Znajdź pełny tekst źródłaStine, R. L. The dare. London: Pocket Books, 1994.
Znajdź pełny tekst źródłaStine, R. L. The dare. New York: Archway Paperbacks, 1994.
Znajdź pełny tekst źródłaCzęści książek na temat "Popularity detection"
Schedl, Markus, Peter Knees i Gerhard Widmer. "Improving Prototypical Artist Detection by Penalizing Exorbitant Popularity". W Computer Music Modeling and Retrieval, 196–200. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11751069_18.
Pełny tekst źródłaSahoo, Somya Ranjan, i B. B. Gupta. "Popularity-Based Detection of Malicious Content in Facebook Using Machine Learning Approach". W First International Conference on Sustainable Technologies for Computational Intelligence, 163–76. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0029-9_13.
Pełny tekst źródłaTolosana, Ruben, Ruben Vera-Rodriguez, Julian Fierrez, Aythami Morales i Javier Ortega-Garcia. "An Introduction to Digital Face Manipulation". W Handbook of Digital Face Manipulation and Detection, 3–26. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-87664-7_1.
Pełny tekst źródłaDevaraj, Jayanthi. "A Comparative Analysis of Deep Learning Models for Fake News Detection and Popularity Prediction of Articles". W Intelligent Systems and Sustainable Computational Models, 246–65. Boca Raton: Auerbach Publications, 2024. http://dx.doi.org/10.1201/9781003407959-16.
Pełny tekst źródłaChu, Quanquan, Zhenhao Cao, Xiaofeng Gao, Peng He, Qianni Deng i Guihai Chen. "Cease with Bass: A Framework for Real-Time Topic Detection and Popularity Prediction Based on Long-Text Contents". W Computational Data and Social Networks, 53–65. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04648-4_5.
Pełny tekst źródłaZhu, Chengang, Guang Cheng i Kun Wang. "Program Popularity Prediction Approach for Internet TV Based on Trend Detecting". W Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 142–54. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74176-5_14.
Pełny tekst źródłaNarayan, Shaifali, i Brij B. Gupta. "Study of Smartcards Technology". W Handbook of Research on Intrusion Detection Systems, 341–56. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2242-4.ch017.
Pełny tekst źródłaMartinez, Marcos E., Francisco López-Orozco, Karla Olmos-Sánchez i Julia Patricia Sánchez-Solís. "Mispronunciation Detection and Diagnosis Through a Chatbot". W Handbook of Research on Natural Language Processing and Smart Service Systems, 31–45. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4730-4.ch002.
Pełny tekst źródłaGautam, Shikha, i Anand Singh Jalal. "An Image Forgery Detection Approach Based on Camera's Intrinsic Noise Properties". W Cyber Warfare and Terrorism, 712–22. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2466-4.ch044.
Pełny tekst źródłaGautam, Shikha, i Anand Singh Jalal. "An Image Forgery Detection Approach Based on Camera's Intrinsic Noise Properties". W Digital Forensics and Forensic Investigations, 92–102. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-3025-2.ch008.
Pełny tekst źródłaStreszczenia konferencji na temat "Popularity detection"
Abbink, Jasper, i Christian Doerr. "Popularity-based Detection of Domain Generation Algorithms". W ARES '17: International Conference on Availability, Reliability and Security. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3098954.3107008.
Pełny tekst źródłazhu, xinyi, i yu zhang. "An auxiliary edge cache strategy based on content popularity in NDN". W Ninth Symposium on Novel Photoelectronic Detection Technology and Applications (NDTA2022), redaktorzy Wenqing Liu, Hongxing Xu i Junhao Chu. SPIE, 2023. http://dx.doi.org/10.1117/12.2664524.
Pełny tekst źródłaSkaperas, Sotiris, Lefteris Mamatas i Arsenia Chorti. "Early Video Content Popularity Detection with Change Point Analysis". W GLOBECOM 2018 - 2018 IEEE Global Communications Conference. IEEE, 2018. http://dx.doi.org/10.1109/glocom.2018.8648121.
Pełny tekst źródłaYang, Tianbao, Prakash Mandaym Comar i Linli Xu. "Community detection by popularity based models for authored networked data". W ASONAM '13: Advances in Social Networks Analysis and Mining 2013. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2492517.2492520.
Pełny tekst źródłaYang, Tianbao, Yun Chi, Shenghuo Zhu, Yihong Gong i Rong Jin. "Directed Network Community Detection: A Popularity and Productivity Link Model". W Proceedings of the 2010 SIAM International Conference on Data Mining. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2010. http://dx.doi.org/10.1137/1.9781611972801.65.
Pełny tekst źródłaSteuber, Florian, Sinclair Schneider, João A. G. Schneider i Gabi Dreo Rodosek. "Real-Time Anomaly Detection and Popularity Prediction for Emerging Events on Twitter". W ASONAM '23: International Conference on Advances in Social Networks Analysis and Mining. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3625007.3627517.
Pełny tekst źródłaZhang, Weifeng, Ting Zhong, Ce Li, Kunpeng Zhang i Fan Zhou. "CausalRD: A Causal View of Rumor Detection via Eliminating Popularity and Conformity Biases". W IEEE INFOCOM 2022 - IEEE Conference on Computer Communications. IEEE, 2022. http://dx.doi.org/10.1109/infocom48880.2022.9796678.
Pełny tekst źródłaSparks, Kevin A., Roger G. Li, Gautam S. Thakur, Robert N. Stewart i Marie L. Urban. "Facility detection and popularity assessment from text classification of social media and crowdsourced data". W SIGSPATIAL'16: 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/3003464.3003466.
Pełny tekst źródłaIlić, Velibor, i Milovan Medojević. "DETECTION OF ANOMALIES ON THE SURFACE OF WORKPIECES PRODUCED ON CNC MACHINES". W 19th International Scientific Conference on Industrial Systems. Faculty of Technical Sciences, 2023. http://dx.doi.org/10.24867/is-2023-t3.1-2_11141.
Pełny tekst źródłaS. B, Abilash, i Sujitha R. "Instagram Fake and Automated Account Detection: A Review". W The International Conference on scientific innovations in Science, Technology, and Management. International Journal of Advanced Trends in Engineering and Management, 2023. http://dx.doi.org/10.59544/dpaz6258/ngcesi23p29.
Pełny tekst źródłaRaporty organizacyjne na temat "Popularity detection"
Bielinskyi, Andrii, Vladimir Soloviev, Serhiy Semerikov i Viktoria Solovieva. Detecting Stock Crashes Using Levy Distribution. [б. в.], sierpień 2019. http://dx.doi.org/10.31812/123456789/3210.
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