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Artykuły w czasopismach na temat "Consumer behavior – data processing"
Baozhu Feng, Han Nie,. "Optimization of Online Advertising Decision Combination Based on the Attribution of Consumer Behavior Big Data". Journal of Electrical Systems 20, nr 2 (4.04.2024): 1981–87. http://dx.doi.org/10.52783/jes.1645.
Pełny tekst źródłaLiu, Shengchen. "Analysis of implementation for big data techniques in consumer behavior". Applied and Computational Engineering 53, nr 1 (28.03.2024): 166–72. http://dx.doi.org/10.54254/2755-2721/53/20241342.
Pełny tekst źródłaYang, Wenjun, i Jia Guo. "Consumers’ Purchase Behavior Preference in E-Commerce Platform Based on Data Mining Algorithm". International Journal of Circuits, Systems and Signal Processing 16 (14.01.2022): 603–9. http://dx.doi.org/10.46300/9106.2022.16.75.
Pełny tekst źródłaGéci, Andrej, Ľudmila Nagyová, Stanislav Mokrý i Jana Rybanská. "Investigation of consumer behaviour at selected market commodity". Potravinarstvo Slovak Journal of Food Sciences 13, nr 1 (28.12.2019): 925–32. http://dx.doi.org/10.5219/1230.
Pełny tekst źródłaLópez-Gómez, Rafael, Laura Panizo i María-del-Mar Gallardo. "Flextory: Flexible Software Factory of IoT Data Consumers". Sensors 24, nr 8 (16.04.2024): 2550. http://dx.doi.org/10.3390/s24082550.
Pełny tekst źródłaGhosh, Tathagata, i Venu Gopal Rao. "Consumer Confusion in Mobile Application Buying". International Journal of E-Business Research 10, nr 4 (październik 2014): 52–70. http://dx.doi.org/10.4018/ijebr.2014100104.
Pełny tekst źródłaSimonović, Zoran, i Nikola Ćurčić. "Consumer behavior related to buying wines on the retail market in the City of Niš". Strategic Management 26, nr 4 (2021): 65–71. http://dx.doi.org/10.5937/straman2104065s.
Pełny tekst źródłaSchulz, Lee L., Ted C. Schroeder i Katharine L. White. "Value of Beef Steak Branding: Hedonic Analysis of Retail Scanner Data". Agricultural and Resource Economics Review 41, nr 2 (sierpień 2012): 260–73. http://dx.doi.org/10.1017/s1068280500003397.
Pełny tekst źródłaSingh, Richa. "Asses the Behaviour of Consumers for Enhancing Claims Processing and Fraud Detection in Insurance Through Blockchain Technology". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, nr 04 (28.04.2024): 1–5. http://dx.doi.org/10.55041/ijsrem32349.
Pełny tekst źródłaN. H. Rachmani, A. Apriantini i L. Cyrilla E. N. S. D. "Analisis Perilaku Konsumen Usia Muda di Kota Bogor dalam Mengonsumsi Susu dan Produk Olahannya di Masa Pandemi Covid 19". Jurnal Ilmu Produksi dan Teknologi Hasil Peternakan 10, nr 1 (31.01.2022): 15–20. http://dx.doi.org/10.29244/jipthp.10.1.15-20.
Pełny tekst źródłaRozprawy doktorskie na temat "Consumer behavior – data processing"
Yanamandram, Venkata Krishna Kumar. "Retention of dissatisfied business-to-business services customers". Thesis, The University of Sydney, 2008. https://hdl.handle.net/2123/28954.
Pełny tekst źródłaMestre, María del Rosario. "Bayesian predictive models of user intention". Thesis, University of Cambridge, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.708641.
Pełny tekst źródłaWinn, David. "An analysis of neural networks and time series techniques for demand forecasting". Thesis, Rhodes University, 2007. http://hdl.handle.net/10962/d1004362.
Pełny tekst źródłaKadambi, Rupasri. "Analysis of data mining techniques for customer segmentation and predictive modeling a case study /". Diss., Online access via UMI:, 2005.
Znajdź pełny tekst źródłaIncludes bibliographical references.
Yan, Ping. "SPATIAL-TEMPORAL DATA ANALYTICS AND CONSUMER SHOPPING BEHAVIOR MODELING". Diss., The University of Arizona, 2010. http://hdl.handle.net/10150/195232.
Pełny tekst źródłaSun, J. (Jia). "Exploring the factors affecting online consumer behavior in China:case: Taobao". Master's thesis, University of Oulu, 2018. http://urn.fi/URN:NBN:fi:oulu-201811093003.
Pełny tekst źródłaShen, Hao. "The effects of procedural and declarative knowledge in consumer information processing /". View abstract or full-text, 2008. http://library.ust.hk/cgi/db/thesis.pl?MARK%202008%20SHEN.
Pełny tekst źródłaFarney, Ryan M. "The Influence Exposure Has on Consumer Behavior". Scholarship @ Claremont, 2016. http://scholarship.claremont.edu/cmc_theses/1251.
Pełny tekst źródłaKetron, Seth Christopher. "Size Framing: Conceptualization and Applications in Consumer Behavior". Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc1011747/.
Pełny tekst źródłaYuan, Yuan. "Bayesian Conjoint Analyses with Multi-Category Consumer Panel Data". University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin162766827512258.
Pełny tekst źródłaKsiążki na temat "Consumer behavior – data processing"
Naumov, Vladimir. Consumer behavior. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1014653.
Pełny tekst źródłaNeibecker, Bruno. Konsumentenemotionen: Messung durch computergestützte Verfahren : eine empirische Validierung nicht-verbaler Methoden. Würzburg: Physica-Verlag, 1985.
Znajdź pełny tekst źródłaFoster, Jonathan, Angela Lin i Paul Scifleet. Consumer information systems and relationship management: Design, implementation, and use. Hershey, PA: Business Science Reference, 2013.
Znajdź pełny tekst źródłaFinlay, Steven. Credit scoring, response modeling, and insurance rating: A practical guide to forecasting consumer behavior. Wyd. 2. Houndmills, Basingstoke, Hampshire: Palgrave Macmillan, 2012.
Znajdź pełny tekst źródłaZuboff, Shoshana. The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. New York, USA: Public Affairs, 2019.
Znajdź pełny tekst źródłaMoe, Wendy. Capturing evolving visit behavior in clickstream data. Cambridge, MA: Marketing Science Institute, 2001.
Znajdź pełny tekst źródłaM, Worcester Robert, i Downham John, red. Consumer market research handbook. Wyd. 3. Amsterdam: North-Holland, 1986.
Znajdź pełny tekst źródłaSmith, Andrew. Consumer Behaviour and Analytics. Taylor & Francis Group, 2019.
Znajdź pełny tekst źródłaSmith, Andrew. Consumer Behaviour and Analytics. Taylor & Francis Group, 2019.
Znajdź pełny tekst źródłaSmith, Andrew. Consumer Behaviour and Analytics. Taylor & Francis Group, 2019.
Znajdź pełny tekst źródłaCzęści książek na temat "Consumer behavior – data processing"
Brockmann, Karl Ludwig, Jens Hemmelskamp i Olav Hohmeyer. "Definitions, Database and Data Processing". W Certified Tropical Timber and Consumer Behaviour, 42–45. Heidelberg: Physica-Verlag HD, 1996. http://dx.doi.org/10.1007/978-3-642-51735-8_6.
Pełny tekst źródłaSpenrath, Yorick, Marwan Hassani i Boudewijn F. van Dongen. "Online Prediction of Aggregated Retailer Consumer Behaviour". W Lecture Notes in Business Information Processing, 211–23. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98581-3_16.
Pełny tekst źródłaWang, Yi, Qixin Chen i Chongqing Kang. "Electricity Consumer Behavior Model". W Smart Meter Data Analytics, 37–57. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2624-4_2.
Pełny tekst źródłaKonyalioglu, Fatma Irem. "Consumer Behavior in the Metaverse". W Studies in Big Data, 161–75. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-4641-9_11.
Pełny tekst źródłaCurrie, Brianna A., Alexandra D. French i M. Ali Ülkü. "Sustainability, Big Data, and Consumer Behavior". W Big Data Analytics in Supply Chain Management, 109–32. First edition. | Boca Raton : CRC Press, 2021.: CRC Press, 2020. http://dx.doi.org/10.1201/9780367816384-7.
Pełny tekst źródłaWalter, Sheryl L., Scott E. Seibert, Daniel Goering i Ernest H. O’Boyle. "ORIGINAL PAPER: A Tale of Two Sample Sources: Do Results from Online Panel Data and Conventional Data Converge?" W Key Topics in Consumer Behavior, 75–102. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19910-3_7.
Pełny tekst źródłaKamleitner, Bernadette, i Vincent-Wayne Mitchell. "Can Consumers Experience Ownership for Their Personal Data?From Issues of Scope and Invisibility to Agents Handling Our Digital Blueprints". W Psychological Ownership and Consumer Behavior, 91–118. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77158-8_6.
Pełny tekst źródłaAnshori, Mohamad Yusak, Denis Fidita Karya, Rizki Amalia Elfita, Laila Alfi Sahrin i Mira Nirmala Gita. "Domestic Consumption: Relative Product Quality Ethnocentrism, and Domestic Product Belief". W Proceedings of the 19th International Symposium on Management (INSYMA 2022), 349–55. Dordrecht: Atlantis Press International BV, 2022. http://dx.doi.org/10.2991/978-94-6463-008-4_45.
Pełny tekst źródłaTorelli, Carlos J., Jie (Doreen) Shen i Maria A. Rodas. "Culture and Consumer Behavior". W The Oxford Handbook of Cross-Cultural Organizational Behavior, 561–82. Oxford University Press, 2024. http://dx.doi.org/10.1093/oxfordhb/9780190085384.013.22.
Pełny tekst źródłaWang, Chen-Ya, Yi-Chun Lin, Hsia-Ching Chang i Seng-Cho T. Chou. "Consumer Sentiment in Tweets and Coupon Information-Sharing Behavior". W Information Diffusion Management and Knowledge Sharing, 823–42. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0417-8.ch041.
Pełny tekst źródłaStreszczenia konferencji na temat "Consumer behavior – data processing"
Sharifian, Nastaran, i Kevin Burke. "Processing k-Inflated Poisson-Binomial Distributed Longitudinal Data in Consumer Behavior". W 2023 IEEE Smart World Congress (SWC). IEEE, 2023. http://dx.doi.org/10.1109/swc57546.2023.10449241.
Pełny tekst źródłaBatraga, Anda, Jelena Salkovska, Katrina Kellerte i Liene Kaibe. "pportunities and limitations for using big data in the marketing industry". W 24th International Scientific Conference. “Economic Science for Rural Development 2023”. Latvia University of Life Sciences and Technologies. Faculty of Economics and Social Development, 2023. http://dx.doi.org/10.22616/esrd.2023.57.033.
Pełny tekst źródłaGlova, Bogdan, i Ivan Mudryk. "Application of Deep Learning in Neuromarketing Studies of the Effects of Unconscious Reactions on Consumer Behavior". W 2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP). IEEE, 2020. http://dx.doi.org/10.1109/dsmp47368.2020.9204192.
Pełny tekst źródłaWang, Yan, i Shengxiang She. "Prediction of consumers' pro-environmental behavior based on artificial intelligence". W International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), redaktorzy Feng Wu, Jinping Liu i Yanping Chen. SPIE, 2022. http://dx.doi.org/10.1117/12.2631547.
Pełny tekst źródłaSingh, Shashi Pal, Ajai Kumar, Neetu Yadav i Rachna Awasthi. "Data Mining: Consumer Behavior Analysis". W 2018 3rd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT). IEEE, 2018. http://dx.doi.org/10.1109/rteict42901.2018.9012300.
Pełny tekst źródłaSoltani, Nasim Yahya, i Georgios B. Giannakis. "Online learning of electric vehicle consumers' charging behavior with missing data". W 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, 2014. http://dx.doi.org/10.1109/globalsip.2014.7032115.
Pełny tekst źródłaPerciun, Rodica. "Economia circulară și recuperarea deșeurilor din plastic prin reciclare în Moldova". W International Scientific-Practical Conference "Economic growth in the conditions of globalization". National Institute for Economic Research, 2023. http://dx.doi.org/10.36004/nier.cecg.2023.17.1.
Pełny tekst źródłaEksin, Ceyhun, Hakan Delic i Alejandro Ribeiro. "Rational consumer behavior models in smart pricing". W ICASSP 2015 - 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2015. http://dx.doi.org/10.1109/icassp.2015.7178555.
Pełny tekst źródłaLuo, Zhe. "The Consumer Behavior Analysis under Large Data Environment". W Proceedings of the 2017 5th International Education, Economics, Social Science, Arts, Sports and Management Engineering Conference (IEESASM 2017). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/ieesasm-17.2018.69.
Pełny tekst źródłaKuramoto, Kaoru, Yosuke Kurihara i Satoshi Kumagai. "CONSUMER PURCHASING BEHAVIOR ANALYSIS USING CVS POS DATA". W 53rd International Academic Conference, Dubai. International Institute of Social and Economic Sciences, 2020. http://dx.doi.org/10.20472/iac.2020.053.010.
Pełny tekst źródłaRaporty organizacyjne na temat "Consumer behavior – data processing"
Gross, David, i Nicholas Souleles. Do Liquidity Constraints and Interest Rates Matter for Consumer Behavior? Evidence from Credit Card Data. Cambridge, MA: National Bureau of Economic Research, czerwiec 2001. http://dx.doi.org/10.3386/w8314.
Pełny tekst źródłaBachas, Natalie, Peter Ganong, Pascal Noel, Joseph Vavra, Arlene Wong, Diana Farrell i Fiona Greig. Initial Impacts of the Pandemic on Consumer Behavior: Evidence from Linked Income, Spending, and Savings Data. Cambridge, MA: National Bureau of Economic Research, lipiec 2020. http://dx.doi.org/10.3386/w27617.
Pełny tekst źródłaBhatt, Parth, Curtis Edson i Ann MacLean. Image Processing in Dense Forest Areas using Unmanned Aerial System (UAS). Michigan Technological University, wrzesień 2022. http://dx.doi.org/10.37099/mtu.dc.michigantech-p/16366.
Pełny tekst źródłaCairo, Jessica, Iulia Gherman i Paul Cook. The effects of consumer freezing of food on its use-by date. Food Standards Agency, lipiec 2021. http://dx.doi.org/10.46756/sci.fsa.ret874.
Pełny tekst źródłaLeavy, Michelle B., Danielle Cooke, Sarah Hajjar, Erik Bikelman, Bailey Egan, Diana Clarke, Debbie Gibson, Barbara Casanova i Richard Gliklich. Outcome Measure Harmonization and Data Infrastructure for Patient-Centered Outcomes Research in Depression: Report on Registry Configuration. Agency for Healthcare Research and Quality (AHRQ), listopad 2020. http://dx.doi.org/10.23970/ahrqepcregistryoutcome.
Pełny tekst źródłaSchaur, Georg, Christian Volpe Martincus i Jerónimo Carballo. Trust No One?: Security and International Trade. Inter-American Development Bank, czerwiec 2016. http://dx.doi.org/10.18235/0011739.
Pełny tekst źródłaZeballos, Eliana, i Wilson Sinclair. Estimating the state-level food expenditure series. Washington, D.C.: USDA Economic Research Service, kwiecień 2023. http://dx.doi.org/10.32747/2023.8023696.ers.
Pełny tekst źródłaAvis, William. Drivers, Barriers and Opportunities of E-waste Management in Africa. Institute of Development Studies (IDS), grudzień 2021. http://dx.doi.org/10.19088/k4d.2022.016.
Pełny tekst źródłaBeavers, Calvin, Chad Day, Austin Krietemeyer, Scott Peterson, Yushin Ahn i Xiaojun Li. Mapping of Pavement Conditions Using Smartphone/Tablet LiDAR Case Study: Sensor Performance Comparison. Mineta Transportation Institute, lipiec 2024. http://dx.doi.org/10.31979/mti.2024.2224.
Pełny tekst źródłaGroeneveld. L51690 Evaluation of Modern X-70 HFER Line Pipe. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), maj 1992. http://dx.doi.org/10.55274/r0010316.
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