Hệ thống gợi ý để tạo lộ trình tham quan bảo tàng áp dụng công nghệ thực tế tăng cường và các kỹ thuật khai thác dữ liệu từ cảm biến xã hội

Abu-Mostafa YS, Lin HT, Magdon-Ismail M (2012) Learning from data: a short course: AMLbook. View Article PubMed/NCBI Google Scholar Adu-Poku S (2012) Comparing classification algorithms in data mining. Doctoral dissertation, Central Connecticut State University Alexander EP, Alexander M, Decker J (2017) Museums in motion: an introduction to the history and functions of museums. Rowman & Littlefield, Lanham Amores M, Arco L, Borroto C (2016) Unsupervised opinion polarity detection based on new lexical resources. Computación y Sistemas 20(2):263–277 Araújo C, Martini RG, Henriques PR, Almeida JJ (2018) Annotated documents and expanded CIDOC-CRM ontology in the automatic construction of a virtual museum. In: Rocha Á, Reis LP (eds) Developments and advances in intelligent systems and applications. Springer, Cham, pp 91–110 Baraldi L, Paci F, Serra G, Benini L, Cucchiara R (2015) Gesture recognition using wearable vision sensors to enhance visitors’ museum experiences. IEEE Sens J 15(5):2705–2714 Bello-Orgaz G, Jung JJ, Camacho D (2016) Social big data: recent achievements and new challenges. Inf Fusion 28:45–59 Bishop CM (2006) Pattern recognition and machine learning. Springer, Berlin Blazquez D, Domenech J (2017) Big data sources and methods for social and economic analyses. Technological forecasting and social change. Elsevier, Amsterdam Capuano N, Gaeta A, Guarino G, Miranda S, Tomasiello S (2016) Enhancing augmented reality with cognitive and knowledge perspectives: a case study in museum exhibitions. Behav Inf Technol 35(11):968–979 Carrozzino M, Bergamasco M (2010) Beyond virtual museums: experiencing immersive virtual reality in real museums. J Cult Heritage 11(4):452–458 Chianese A, Marulli F, Moscato V, Piccialli F (2013) SmARTweet: a location-based smart application for exhibits and museums. In: 2013 International conference on signal-image technology and internet-based systems (SITIS). IEEE, pp 408–415 Choi HS, Kim SH (2017) A content service deployment plan for metaverse museum exhibitions—centering on the combination of beacons and HMDs. Int J Inf Manage 37(1):1519–1527 Dim E, Kuflik T (2015) Automatic detection of social behavior of museum visitor pairs. ACM Trans Interact Intell Syst 4(4):17 Falk JH, Dierking LD (2000) Learning from museums: visitor experiences and the making of meaning. Altamira Press, Lanham Fayyad U, Piatetsky-Shapiro G, Smyth P (1996) The KDD process for extracting useful knowledge from volumes of data. Commun ACM 39(11):27–34 Gandomi A, Haider M (2015) Beyond the hype: big data concepts, methods, and analytics. Int J Inf Manage 35(2):137–144 García-Palomares JC, Gutiérrez J, Mínguez C (2015) Identification of tourist hot spots based on social networks: a comparative analysis of European metropolises using photo-sharing services and GIS. Appl Geogr 63:408–417 Hajmoosaei A, Skoric P (2016) Museum ontology-based metadata. In: 2016 IEEE tenth international conference on semantic computing (ICSC). IEEE, pp 100–103 Hu Y, Gao S, Janowicz K, Yu B, Li W, Prasad S (2015) Extracting and understanding urban areas of interest using geotagged photos. Comput Environ Urban Syst 54:240–254 Huang W, Sun M, Li S (2016) A 3D GIS-based interactive registration mechanism for outdoor augmented reality system. Expert Syst Appl 55:48–58 Javornik A (2016) Augmented reality: research agenda for studying the impact of its media characteristics on consumer behaviour. J Retail Consum Serv 30:252–261 Jung T, tom Dieck MC, Lee H, Chung N (2016) Effects of virtual reality and augmented reality on visitor experiences in museum. In: Inversini A, Schegg R (eds) Information and communication technologies in tourism 2016. Springer, Cham, pp 621–635 Lara JA, Lizcano D, Martínez MA, Pazos J (2014) Data preparation for KDD through automatic reasoning based on description logic. Inf Syst 44:54–72 Lindqvist J, Cranshaw J, Wiese J, Hong J, Zimmerman J (2011). I’m the mayor of my house: examining why people use foursquare-a social-driven location sharing application. In: Proceedings of the SIGCHI conference on human factors in computing systems. ACM, pp 2409–2418 Lytras MD, Raghavan V, Damiani E (2017) Big data and data analytics research: from metaphors to value space for collective wisdom in human decision making and smart machines. Int J Semant Web Inf Syst 13(1):1–10 Martini RG, Araújo C, Librelotto GR, Henriques PR (2016) A reduced CRM-compatible form ontology for the virtual Emigration Museum. In: Rocha Á, Correia AM, Adeli H, Reis LP, Teixeira MM (eds) New advances in information systems and technologies. Springer, Cham, pp 401–410 Mata F, Claramunt C (2011) GeoST: geographic, thematic and temporal information retrieval from heterogeneous web data sources. In: Agrawal D, Cruz I, Jensen CS, Ofek E, Tanin E (eds) Web and wireless geographical information systems, pp 5–20 Mata F, Claramunt C, Juarez A (2011) An experimental virtual museum based on augmented reality and navigation. In Proceedings of the 19th ACM SIGSPATIAL international conference on advances in geographic information systems. ACM, pp 497–500 Mata F, Torres-Ruiz M, Guzmán G, Quintero R, Zagal-Flores R, Moreno-Ibarra M, Loza E (2016) A mobile information system based on crowd-sensed and official crime data for finding safe routes: a case study of Mexico City. Mob Inf Syst 2016:1–11. https://doi.org/10.1155/2016/8068209 McKercher B (2016) Towards a taxonomy of tourism products. Tour Manag 54:196–208 Pallud J (2017) Impact of interactive technologies on stimulating learning experiences in a museum. Inf Manag 54(4):465–478 Papatheodorou A, Rosselló J, Xiao H (2010) Global economic crisis and tourism: consequences and perspectives. J Travel Res 49(1):39–45 Perkins J (2010) Python text processing with NLTK 2.0 cookbook. Packt Publishing Ltd, Birmingham Reyes JA, Montes A, González JG, Pinto DE (2013) Classifying case relations using syntactic, semantic and contextual features. Comput Sist 17(2):263–272 Sampson A (2012) Comparing classification algorithms in data mining. A Thesis, Central Connecticut State University New Britain, Connecticut Styliani S, Fotis L, Kostas K, Petros P (2009) Virtual museums, a survey and some issues for consideration. J Cult Heritage 10(4):520–528 Su S, Wan C, Hu Y, Cai Z (2016) Characterizing geographical preferences of international tourists and the local influential factors in China using geo-tagged photos on social media. Appl Geogr 73:26–37 Tan PN (2006) Introduction to data mining. Pearson Education India, Noida Visvizi A, Mazzucelli C, Lytras M (2017) Irregular migratory flows: towards an ICTs’ enabled integrated framework for resilient urban systems. J Sci Technol Policy Manag 8(2):227–242 Waske, B., Benediktsson, J., & Sveinsson, J. (2009). Classifying remote sensing data with support vector machines and imbalanced training data. In: Benediktsson JA, Kittler J, Roli F (eds) Multiple classifier systems, pp 375–384 Younes G, Kahil R, Jallad M, Asmar D, Elhajj I, Turkiyyah G, Al-Harithy H (2017) Virtual and augmented reality for rich interaction with cultural heritage sites: a case study from the Roman Theater at Byblos. Digit Appl Archaeol Cult Heritage 5:1–9 Zhang C, Liu C, Zhang X, Almpanidis G (2017) An up-to-date comparison of state-of-the-art classification algorithms. Expert Syst Appl 82:128–150 Zhou X, Xu C, Kimmons B (2015) Detecting tourism destinations using scalable geospatial analysis based on cloud computing platform. Comput Environ Urban Syst 54:144–153