Zeitschriftenartikel zum Thema „Purchase Probability Prediction“
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Parfenov, P. A., A. A. Timofeeva, G. B. Sologub und A. S. Alekseychuk. „Prediction the Probability of Purchases Recommended Items“. Моделирование и анализ данных 10, Nr. 4 (2020): 17–30. http://dx.doi.org/10.17759/mda.2020100402.
Fu, Zheng, und Lan Feng Zhou. „A Purchase Prediction Based on Collaborative Filtering Algorithm“. Advanced Materials Research 989-994 (Juli 2014): 2241–44. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.2241.
Lv, Yihang, und Qin Liu. „Value perception impact and countermeasures analysis of new energy vehicle purchase behavior based on consumer level user review big data mining“. MATEC Web of Conferences 336 (2021): 09030. http://dx.doi.org/10.1051/matecconf/202133609030.
Mau, Stefan, Irena Pletikosa und Joël Wagner. „Forecasting the next likely purchase events of insurance customers“. International Journal of Bank Marketing 36, Nr. 6 (03.09.2018): 1125–44. http://dx.doi.org/10.1108/ijbm-11-2016-0180.
Sugawara, Shinya, Tianyi Wu und Kenji Yamanishi. „A basket two-part model to analyze medical expenditure on interdependent multiple sectors“. Statistical Methods in Medical Research 27, Nr. 5 (01.09.2016): 1585–600. http://dx.doi.org/10.1177/0962280216665642.
Suh, Euiho, Seungjae Lim, Hyunseok Hwang und Suyeon Kim. „A prediction model for the purchase probability of anonymous customers to support real time web marketing: a case study“. Expert Systems with Applications 27, Nr. 2 (August 2004): 245–55. http://dx.doi.org/10.1016/j.eswa.2004.01.008.
Shah, Ismail, und Francesco Lisi. „Forecasting of electricity price through a functional prediction of sale and purchase curves“. Journal of Forecasting 39, Nr. 2 (05.09.2019): 242–59. http://dx.doi.org/10.1002/for.2624.
Wang, Fei, Yu Yuan und Liangdong Lu. „Dynamical prediction model of consumers’ purchase intentions regarding anti-smog products during smog risk: Taking the information flow perspective“. Physica A: Statistical Mechanics and its Applications 563 (Februar 2021): 125427. http://dx.doi.org/10.1016/j.physa.2020.125427.
Guerrieri, Mirko, Marco Fedrizzi, Francesca Antonucci, Federico Pallottino, Giulio Sperandio, Mauro Pagano, Simone Figorilli, Paolo Menesatti und Corrado Costa. „An innovative multivariate tool for fuel consumption and costs estimation of agricultural operations“. Spanish Journal of Agricultural Research 14, Nr. 4 (02.12.2016): e0209. http://dx.doi.org/10.5424/sjar/2016144-9490.
Bemmaor, Albert C. „Predicting Behavior from Intention-to-Buy Measures: The Parametric Case“. Journal of Marketing Research 32, Nr. 2 (Mai 1995): 176–91. http://dx.doi.org/10.1177/002224379503200205.
Mamiev, O. A., N. A. Finogenov und G. B. Sologub. „Using Machine Learning Methods to Solve Problems of Forecasting the Amount and Probability of Purchase Based on E-Commerce Data“. Моделирование и анализ данных 10, Nr. 4 (2020): 31–40. http://dx.doi.org/10.17759/mda.2020100403.
Juliana, Juliana, Themmy Noval, Ira Brunchilda Hubner und Innocentius Bernarto. „Ease Of Use Dan Trust Terhadap Purchase Intention Melalui Customer Satisfaction Pada Situs Web Tokopedia“. Jurnal Ecodemica: Jurnal Ekonomi, Manajemen, dan Bisnis 4, Nr. 2 (01.09.2020): 217–29. http://dx.doi.org/10.31294/jeco.v4i2.6909.
Fauser, Simon, und David Agola. „The influence of regional Italian images on consumer behaviour: a study of consumers in Germany“. Italian Journal of Marketing 2021, Nr. 1-2 (30.01.2021): 129–58. http://dx.doi.org/10.1007/s43039-021-00018-9.
Bawa, Kapil, und Robert W. Shoemaker. „The Effects of a Direct Mail Coupon on Brand Choice Behavior“. Journal of Marketing Research 24, Nr. 4 (November 1987): 370–76. http://dx.doi.org/10.1177/002224378702400404.
Tabassum, Shazia, Bruno Veloso und João Gama. „On fast and scalable recurring link’s prediction in evolving multi-graph streams“. Network Science 8, S1 (20.01.2020): S65—S81. http://dx.doi.org/10.1017/nws.2019.64.
Zhang, Qin, und P. B. Seetharaman. „Assessing lifetime profitability of customers with purchasing cycles“. Marketing Intelligence & Planning 36, Nr. 2 (03.04.2018): 276–89. http://dx.doi.org/10.1108/mip-03-2017-0059.
Ghulam, Yaseen, Kamini Dhruva, Sana Naseem und Sophie Hill. „The Interaction of Borrower and Loan Characteristics in Predicting Risks of Subprime Automobile Loans“. Risks 6, Nr. 3 (14.09.2018): 101. http://dx.doi.org/10.3390/risks6030101.
Lu, Jing, Zheqing Wang, Yingjing Gu und Wenhui Yang. „Modelling the Air Ticket Purchase Behavior Incorporating Latent Class Model“. Mathematical Problems in Engineering 2020 (27.02.2020): 1–12. http://dx.doi.org/10.1155/2020/2046106.
Kang, Qixiu, Jing Tang und Yuming Wang. „Product Promotion Prediction Model Based on Evaluation Information“. Modern Electronic Technology 5, Nr. 1 (06.05.2021): 10. http://dx.doi.org/10.26549/met.v5i1.6373.
Du Plessis, Phillip J., und Michael J. Greenacre. „Modelling Information Search Behaviour of Car Purchasers“. South African Journal of Psychology 19, Nr. 3 (September 1989): 138–43. http://dx.doi.org/10.1177/008124638901900304.
Solodov, A. A. „Stochastic Method of Discounted Cash Flows“. Statistics and Economics 18, Nr. 1 (03.03.2021): 67–74. http://dx.doi.org/10.21686/2500-3925-2021-1-67-74.
Kulyasova, A. S., A. R. Esina und V. D. Svirchevskiy. „Economic and mathematical modeling as an effective tool of the analysis of economic processes in industry“. Russian Journal of Industrial Economics 12, Nr. 3 (26.09.2019): 316–22. http://dx.doi.org/10.17073/2072-1633-2019-3-316-322.
Yao, Lili, Wenxin Jiang und Martin A. Tanner. „Predicting Panel Data Binary Choice with the Gibbs Posterior“. Neural Computation 23, Nr. 10 (Oktober 2011): 2683–712. http://dx.doi.org/10.1162/neco_a_00172.
Łapczyński, Mariusz, und Bartłomiej Jefmański. „Number of Clusters and the Quality of Hybrid Predictive Models in Analytical CRM“. Studies in Logic, Grammar and Rhetoric 37, Nr. 1 (08.08.2014): 141–57. http://dx.doi.org/10.2478/slgr-2014-0022.
Chatterjee, Debaleena, und Ayan Chattopadhyay. „Binary Logistic Regression Modeling in Predicting Consumer Behavior towards Mutual Fund Investment“. Asian Journal of Managerial Science 8, Nr. 1 (05.02.2019): 59–65. http://dx.doi.org/10.51983/ajms-2019.8.1.1446.
Ho, Teck-Hua, und Juin-Kuan Chong. „A Parsimonious Model of Stockkeeping-Unit Choice“. Journal of Marketing Research 40, Nr. 3 (August 2003): 351–65. http://dx.doi.org/10.1509/jmkr.40.3.351.19232.
Ngwe, Donald, Kris Johnson Ferreira und Thales Teixeira. „The Impact of Increasing Search Frictions on Online Shopping Behavior: Evidence from a Field Experiment“. Journal of Marketing Research 56, Nr. 6 (22.09.2019): 944–59. http://dx.doi.org/10.1177/0022243719865516.
Horton, Brian J., Andrew Bailey und Anna L. Carew. „A regional model of sheep lice management practices for predicting the impact of treatment for lice when no lice are detected“. Animal Production Science 56, Nr. 1 (2016): 24. http://dx.doi.org/10.1071/an14474.
Kumar, G. Naveen. „IOT Based Self Vehicle Pollution Checking, Engine Temperature and Fuel Levels with Prediction Alerts“. International Journal for Research in Applied Science and Engineering Technology 9, Nr. VII (10.07.2021): 212–20. http://dx.doi.org/10.22214/ijraset.2021.36051.
Battaglini, Marco, Salvatore Nunnari und Thomas R. Palfrey. „The Political Economy of Public Debt: A Laboratory Study“. Journal of the European Economic Association 18, Nr. 4 (14.06.2019): 1969–2012. http://dx.doi.org/10.1093/jeea/jvz031.
Verma, Harsh V., Jyoti Kainth und Priya Gupta. „Consumer Perceived Value and Brand Loyalty“. International Journal of Customer Relationship Marketing and Management 3, Nr. 4 (Oktober 2012): 1–15. http://dx.doi.org/10.4018/jcrmm.2012100101.
Tinonetsana, Faith, und Darry Penceliah. „The Influence of Packaging Elements on Buying Behaviour for Convenience Goods amongst Customers“. Journal of Economics and Behavioral Studies 9, Nr. 5 (21.10.2017): 200–208. http://dx.doi.org/10.22610/jebs.v9i5.1923.
Cui, Yao, A. Yeşim Orhun und Izak Duenyas. „How Price Dispersion Changes When Upgrades Are Introduced: Theory and Empirical Evidence from the Airline Industry“. Management Science 65, Nr. 8 (August 2019): 3835–52. http://dx.doi.org/10.1287/mnsc.2018.3117.
Sogari, Giovanni, Jie Li, Michele Lefebvre, Davide Menozzi, Nicoletta Pellegrini, Martina Cirelli, Miguel I. Gómez und Cristina Mora. „The Influence of Health Messages in Nudging Consumption of Whole Grain Pasta“. Nutrients 11, Nr. 12 (06.12.2019): 2993. http://dx.doi.org/10.3390/nu11122993.
Walters, Eddison T. „Evidence From Data Analysis, Fifteen Developed Countries and the United States Home Prices Increase Between 1990 to 2006 Result of Advancement In Technology, Worldwide Economic Collapse and Great Recession Result of False Information by Media and Economic Policy Failures: Walters Real Estate Bubble Impossibility Price Transparency Theory, Real Estate Bubble Is Impossible, An End to Economic Policies Based on False Information“. International Business Research 13, Nr. 11 (27.10.2020): 114. http://dx.doi.org/10.5539/ibr.v13n11p114.
Linkins, Lori Ann, Shannon M. Bates, Agnes Y. Y. Lee und Theodore E. Warkentin. „Combination Of 4T’s Score and Rapid Gel Centrifugation Assay Excludes HIT In a Prospective Cohort Study“. Blood 122, Nr. 21 (15.11.2013): 3535. http://dx.doi.org/10.1182/blood.v122.21.3535.3535.
Bertsch, Thomas, Wilhelm Behringer, Sabine Blaschke, Richard Body, Simon Davidson, Anna Rieger, Daniel Horner et al. „Diagnostic Accuracy of the Tina-Quant D-Dimer Gen.2 Assay with Age-Adjusted Cut-Off Ranges for Evaluation of Patients with Suspected Deep Vein Thrombosis or Pulmonary Embolism“. Blood 136, Supplement 1 (05.11.2020): 14–15. http://dx.doi.org/10.1182/blood-2020-139235.
Esmeli, Ramazan, Mohamed Bader-El-Den und Hassana Abdullahi. „Towards early purchase intention prediction in online session based retailing systems“. Electronic Markets, 19.12.2020. http://dx.doi.org/10.1007/s12525-020-00448-x.
Chu, Shuyu, Huijing Jiang, Zhengliang Xue und Xinwei Deng. „Adaptive Convex Clustering of Generalized Linear Models With Application in Purchase Likelihood Prediction“. Technometrics, 30.03.2020, 1–13. http://dx.doi.org/10.1080/00401706.2020.1733094.
„Product Quantization using Regression“. International Journal of Innovative Technology and Exploring Engineering 9, Nr. 8 (10.06.2020): 653–55. http://dx.doi.org/10.35940/ijitee.h6483.069820.
Lim, Hock-Eam, und Siew Goh Yeok. „ESTIMATING THE DETERMINANTS OF VEHICLE LOAN DEFAULT IN MALAYSIA: AN EXPLORATORY STUDY“. International Journal of Management Studies, 27.07.2017. http://dx.doi.org/10.32890/ijms.24.1.2017.10477.
Yoshikawa, Takeki, Eizen Kimura, Emi Akama, Hiromi Nakao, Toshihiro Yorozuya und Ken Ishihara. „Prediction of the service life of surgical instruments from the surgical instrument management system log using radio frequency identification“. BMC Health Services Research 19, Nr. 1 (15.10.2019). http://dx.doi.org/10.1186/s12913-019-4540-0.
Vasudevan, Nisha, Vasudevan Venkatraman, A. Ramkumar und A. Sheela. „Real-time day ahead energy management for smart home using machine learning algorithm“. Journal of Intelligent & Fuzzy Systems, 09.04.2021, 1–12. http://dx.doi.org/10.3233/jifs-189886.
„Logistic Regression for Health Profiling“. International Journal of Engineering and Advanced Technology 8, Nr. 6S2 (10.10.2019): 974–77. http://dx.doi.org/10.35940/ijeat.f1294.0886s219.
Kettlewell, Nathan. „The informational content of subjective expectations for health service use“. BMC Health Services Research 21, Nr. 1 (17.05.2021). http://dx.doi.org/10.1186/s12913-021-06464-7.
Bromberg, Daniel J., Mary M. Tate, Kamiar Alaei, Saifuddin Karimov, Dilshod Saidi und Arash Alaei. „Association between time spent in the Russian Federation and late presentation for HIV among Tajikistani migrants“. BMC Public Health 20, Nr. 1 (10.09.2020). http://dx.doi.org/10.1186/s12889-020-09434-6.
Salim, Hatem, Marko Mrkobrada, Khaled Shamseddin und Benjamin Thomson. „Enhancing Internal Medicine Residents’ Royal College Exam Competency Using In-Training Written Exams within a Competency Based Medical Education Framework“. Canadian Journal of General Internal Medicine 12, Nr. 1 (09.05.2017). http://dx.doi.org/10.22374/cjgim.v12i1.181.