Relevant bibliographies by topics / Market basket analysis

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Market basket analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Market basket analysis"

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Harini, J. Venkata, G. Venu, G. Vijay Kiran Reddy, et al. "Market Basket Analysis." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 5224–29. http://dx.doi.org/10.22214/ijraset.2024.61662.

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Abstract: Market Basket analysis is a technique applied by retailers to understand customer’s shopping behaviour from their stores. The result of the effective analysis may improve supplier’s profitability, quality of service and customer satisfaction. The purpose of this project is to make use of anonymized data on customers’ transactional orders to focus on descriptive analysis on the customer purchase patterns, items which are bought together and units that are highly purchased from the store to facilitate reordering and maintaining adequate product stock. Market Basket Analysis is an impor
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Kamakura, Wagner A. "Sequential market basket analysis." Marketing Letters 23, no. 3 (2012): 505–16. http://dx.doi.org/10.1007/s11002-012-9181-6.

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Atul Sharma, Mohammad Salim Hamidi, and Yousuf Hotak. "MARKET BASKET ANALYSIS USING MACHINE LEARNING." International Journal of Computer Science & Communications (IJCSC) 9, no. 1 (2024): 14–21. http://dx.doi.org/10.58885/ijcsc.v09i1.014.as.

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The test database products that are most likely to be purchased together, primarily in the retail and economic sectors, are analyzed using the "market basket analysis" method. This method works particularly well for optimization. We used the market basket dataset from the Kaggle library for our research study. Using the Python programming language, this test database was examined for the well-known management subject of "Market Basket Analysis."
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A., Izang, Okoro U., Olarewaju T., Fasanu T., and Adeyinka A. "Automated Market Basket Analysis System." International Journal of Computer Applications 180, no. 39 (2018): 44–51. http://dx.doi.org/10.5120/ijca2018917043.

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Raeder, Troy, and Nitesh V. Chawla. "Market basket analysis with networks." Social Network Analysis and Mining 1, no. 2 (2010): 97–113. http://dx.doi.org/10.1007/s13278-010-0003-7.

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Mooy, Gisela Christy, and Sani M. Isa. "Contextual Market Basket Analysis during Covid-19." Journal of Social Science 4, no. 3 (2023): 815–25. http://dx.doi.org/10.46799/jss.v4i3.577.

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 One form of Data Mining application to analyze Market Basket Analysis. Market Basket Analysis helps identify buying patterns formed from concurrent transactions. One of the problems with Market Basket Analysis is that customer needs vary according to season and time of day, especially during this covid-19 season. For this purpose, by using the Artificial Neural Network (ANN) Approach that is connected to Market Basket Analysis, it can analyze and compare purchasing patterns and can identify rules that were formed before and after covid-19; several rule changes were
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Śniegocka - Łusiewicz, Małgorzata. "Market basket analysis in marketing research." Equilibrium 2, no. 1 (2009): 115–23. http://dx.doi.org/10.12775/equil.2009.011.

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Market basket analysis is, to put it simply, analysis of the content of customer’s trolley. Market Basket Analysis is based on recognition of rules that customers apply while filling their trolleys, their habits, proper use of services and on research in what products are purchased together or in a defined order. Identification of the aforementioned rules may have a great influence on increasing customer’s value. Basket analysis may be applied for planning promotional campaigns, verifying their effectiveness, effective offering additional services and optimising service packages, tariffs and f
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Valarmathi, Dr A. "Market Basket Analysis for Mobile Showroom." International Journal for Research in Applied Science and Engineering Technology V, no. X (2017): 1279–84. http://dx.doi.org/10.22214/ijraset.2017.10185.

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Vahidi Roodpishi, Marzieh, and Reza Aghajan Nashtaei. "Market basket analysis in insurance industry." Management Science Letters 5, no. 4 (2015): 393–400. http://dx.doi.org/10.5267/j.msl.2015.2.004.

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Santarcangelo, Vito, Giovanni Maria Farinella, Antonino Furnari, and Sebastiano Battiato. "Market basket analysis from egocentric videos." Pattern Recognition Letters 112 (September 2018): 83–90. http://dx.doi.org/10.1016/j.patrec.2018.06.010.

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Dissertations / Theses on the topic "Market basket analysis"

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Verma, Nikhil <1989&gt. "Market basket analysis." Master's Degree Thesis, Università Ca' Foscari Venezia, 2017. http://hdl.handle.net/10579/10564.

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The field of market basket analysis, the search for meaningful associations in customer purchase data, is one of the oldest areas of data mining. The typical solution involves the mining and analysis of association rules, which take the form of statements such as ‘‘people who buy diapers are likely to buy beer’’. It is well-known, however, that typical transaction datasets can support hundreds or thousands of obvious association rules for each interesting rule, and filtering through the rules is a non-trivial task.One may use an interestingness measure to quantify the usefulness of various rul
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Stevanato, Alessandra <1990&gt. "Market basket analysis: il caso dei prodotti "white" nella realtà aziendale Pam." Master's Degree Thesis, Università Ca' Foscari Venezia, 2015. http://hdl.handle.net/10579/5737.

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La market basket analysis utilizza le informazioni che derivano dalle molteplici esperienze di acquisto per dirci chi sono i consumatori, perché fanno determinati acquisti, ma anche quali prodotti vengono venduti insieme e quali sono più propensi a essere soggetti a promozioni. Questo elaborato ha lo scopo di studiare un gruppo di prodotti chiamato "white", comprendente riso, latte e biscotti,analizzandone le vendite all'interno della realtà aziendale Pam.
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Duan, Lian. "Effective and efficient correlation analysis with application to market basket analysis and network community detection." Diss., University of Iowa, 2012. https://ir.uiowa.edu/etd/3288.

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Finding the most interesting correlations among items is essential for problems in many commercial, medical, and scientific domains. For example, what kinds of items should be recommended with regard to what has been purchased by a customer? How to arrange the store shelf in order to increase sales? How to partition the whole social network into several communities for successful advertising campaigns? Which set of individuals on a social network should we target to convince in order to trigger a large cascade of further adoptions? When conducting correlation analysis, traditional methods have
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Mild, Andreas, and Thomas Reutterer. "An improved collaborative filtering approach for predicting cross-category purchases based on binary market basket data." SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, 2002. http://epub.wu.ac.at/414/1/document.pdf.

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Retail managers have been interested in learning about cross-category purchase behavior of their customers for a fairly long time. More recently, the task of inferring cross-category relationship patterns among retail assortments is gaining attraction due to its promotional potential within recommender systems used in online environments. Collaborative filtering algorithms are frequently used in such settings for the prediction of choices, preferences and/or ratings of online users. This paper investigates the suitability of such methods for situations when only binary pick-any customer inform
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Baruzzo, Nicolo' <1993&gt. "REGOLE ASSOCIATIVE: IL MARKET BASKET ANALYSIS PER IDENTIFICARE LE RELAZIONI NEI PROCESSI D’ACQUISTO DEI CONSUMATORI MEDIANTE GLI AMBIENTI STATISTICI “R” E “WEKA”." Master's Degree Thesis, Università Ca' Foscari Venezia, 2019. http://hdl.handle.net/10579/14477.

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Con questo elaborato si andrà ad analizzare un dataset di scontrini (ricevuti dal soggetto In's, appartenete al gruppo PAM) utilizzando le regole associative per mezzo di due ambienti statistici. L'obbiettivo è individuare delle associazioni che esistono tra panieri di beni nel comportamento di acquisto dei consumatori.
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Santarcangelo, Vito. "Visual Behavior Analysis in Retail Scenario." Doctoral thesis, Università di Catania, 2018. http://hdl.handle.net/10761/4135.

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The retail world is today highly competitive and has seen its logics completely revolutionized by the introduction of e-commerce that have prompted a reaction from the retail market, requiring greater attention to the consumer. We therefore moved from the world of traditional marketing (generic flyer) to that of 1to1 marketing (specific attention to the customer, profiling and personalization of the assortment offer). In this context the need arises to introduce innovative tools that can allow the physical sales spaces to be kept competitive, interacting more with the customer in order to crea
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Schröder, Nadine. "Using Multidimensional Item Response Theory Models to Explain Multi-Category Purchases." Vahlen, 2017. http://epub.wu.ac.at/6538/1/0344%2D1369%2D2017%2D2%2D27.pdf.

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We apply multidimensional item response theory models (MIRT) to analyse multi-category purchase decisions. We further compare their performance to benchmark models by means of topic models. Estimation is based on two types of data sets. One contains only binary the other polytomous purchase decisions. We show that MIRT are superior w. r. t. our chosen benchmark models. In particular, MIRT are able to reveal intuitive latent traits that can be interpreted as characteristics of households relevant for multi-category purchase decisions. With the help of latent traits marketers are ab
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Tavares, Pedro Daniel. "Segmentação dos usuários de cartão de crédito por meio da análise de cesto de compras." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/12/12139/tde-16032012-183822/.

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Esta dissertação de mestrado tem como objetivo, elaborar um modelo de segmentação baseando-se no comportamento comprovado de consumo de clientes, valendo-se das técnicas de Análise de Associação e Análise de Cesto de Compras, aplicadas aos dados das faturas de cartão de crédito dos clientes. A partir do modelo proposto, testou-se a previsibilidade das próximas transações dos clientes por meio de uma amostra de validação. A motivação desta pesquisa provém de três pilares: Contexto Científico, Tecnológico e Mercadológico. No Contexto Científico, apesar de já terem sido publicados artigos que ass
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Dahlström, Sara, and Susanne Bern. "Strategic market entry by applying the path dependency approach." Thesis, KTH, Industriell ekonomi och organisation (Inst.), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-133463.

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Entering a new market is one of the most important strategic decisions a company makes, and being an external player can make it possible to reveal opportunities not apparent to the industry players. The key is to not take industry structures for granted, but to think outside the box when formulating the entering strategy. This study rests on the assumption that there are factors in industries that are more path dependent than others, hence they are rigid and difficult to change. These factors could eventually prevent the industry from evolving even though new technology and processes are avai
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Prášil, Zdeněk. "Využití data miningu v řízení podniku." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-150279.

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The thesis is focused on data mining and its use in management of an enterprise. The thesis is structured into theoretical and practical part. Aim of the theoretical part was to find out: 1/ the most used methods of the data mining, 2/ typical application areas, 3/ typical problems solved in the application areas. Aim of the practical part was: 1/ to demonstrate use of the data mining in small Czech e-shop for understanding of the structure of the sale data, 2/ to demonstrate, how the data mining analysis can help to increase marketing results. In my analyses of the literature data I found dec
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Books on the topic "Market basket analysis"

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Australia New Zealand Food Authority ., ed. The 1994 Australian market basket survey. Australian Government Publishing Service, 1996.

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Patron, Hilde, Laureano Gomez, and Michael Sinkey. Applying Market Basket Analysis Algorithms to Marketing Campaigns: An Analysis of the US Auto-Repair Industry. SAGE Publications Inc., 2023. http://dx.doi.org/10.4135/9781529630367.

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Cruz, Ben De la. SOHO market analysis & forecast: Targeting the small office/home office online user. Edited by Burka Karen and Simba Information Inc. SIMBA Information, 1996.

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Bel'zeckiy, Anatoliy. Marketing: theory, methods and models of the market as a whole. INFRA-M Academic Publishing LLC., 2024. https://doi.org/10.12737/2134337.

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In the monograph, based on the innovative concept of organized market integrity from the standpoint of the methodology of holism (integrity), methods of measurement, spectral analysis and synthesis of a mixed heterogeneous market structure in interaction with the external environment are developed. Models of structure, functioning, kinetics of behavior, neural network forecasting and market development as a whole are presented. The practical issues of the implementation and assessment of the quality of market models as integrity are considered. The laws of market development are formulated. It
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Minobrnauki, Rossiyskoy. Finance and Financial analysis. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1242227.

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The textbook systematizes basic knowledge in the field of finance, financial analysis and financial management, presented in their direct relationship and significance from the point of view of evaluation, diagnosis, forecasting and monitoring of the continuity of the organization's activities. It includes seven chapters grouped into three sections. The first section is devoted to the theoretical foundations of the organization's financial management, stakeholders and sources of the organization's activities. The second section discusses the basics of financial analysis, providing knowledge of
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Shovhalov, Shamil'. The Halal market in Russia: theory, practice and prospects of development. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1044645.

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The study is based on the important idea that in the modern world increases the influence of the religious factor and, as a consequence, the population returned to traditional values, despite the globalization processes in all spheres of life. Long-term study of the Halal market in Russia, whose capacity is increasing every year, confirms the above. Alternately analyzes the infrastructure features of the Halal market, its current status and prospects of development in the future. &#x0D; Addressed to scientists of all fields, and practitioners of the market Halal.
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Zabelina, Ol'ga, Irina Omel'chenko, Anna Mayorova, and Ekaterina Safonova. Human resource Development in the Digital Age: Strategic Challenges, Challenges, and Opportunities. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1243772.

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The monograph, based on the identification of trends and problems of changes in the demand and supply of skills, as well as the study of modern mechanisms of their formation and actualization, substantiates the priority areas of human resources development in the Russian Federation that meet the strategic challenges of the period of digital transformation of the labor sphere.&#x0D; The authors identify and systematize current and future trends related to changes in the demand for professions and skills in the Russian and global labor markets. The directions of transformation of the demand for
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Adamchuk, Natal'ya, Rustam Azimov, Tamara Belousova, et al. Insurance in the digital economy: science, practice, education. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1816154.

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The monograph deals with the transformation of the insurance business in the conditions of digitalization. The logic of scientific analysis is based on the impact of digitalization on all environmental systems of the insurance business, which, in turn, require the transformation of all aspects of the insurer's activities. The scientific analysis of the usefulness of insurance services is given, the influence of digitalization on the formation of information flows and business processes in the insurance business is considered.&#x0D; The experience of Russia, Belarus, Kazakhstan, Uzbekistan and
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Vlasov, Dmitriy. An introduction to the mathematics of financial instruments. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2001689.

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The textbook covers the main issues of portfolio theory in general at an accessible level, and presents mathematical methods developed for designing and modifying portfolios based on investor requirements. Various approaches to portfolio design and research are analyzed, including the Lagrange method, the simplex method, decision theory techniques, and game theory methods. A large number of examples of varying complexity and difficulty make it possible to introduce the reader to the practice of quantitative analysis of financial instruments and portfolio construction based on targets, investor
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Hvostova, Irina, Aleksey Makarov, and Aleksandr Larin. Non-financial factors in the formation of the company's financial policy: composition, structure, relationships. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1080130.

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When implementing the financial policy of the Corporation, the object of attention of owners and managers is increasingly becoming non-financial indicators of the development of modern companies, such as corporate governance characteristics, socio-economic and environmental indicators. Without denying the need to calculate and analyze financial and economic criteria for evaluating the effectiveness of financial policy, the authors of the monograph describe and systematize the composition and structure of non-financial factors of financial policy, based on the theory of Agency relations and the
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Book chapters on the topic "Market basket analysis"

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Olson, David L. "Market Basket Analysis." In Computational Risk Management. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-3340-7_3.

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Shekhar, Shashi, and Hui Xiong. "Market-Basket Analysis." In Encyclopedia of GIS. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_756.

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Fürnkranz, Johannes, Philip K. Chan, Susan Craw, et al. "Market Basket Analysis." In Encyclopedia of Machine Learning. Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_508.

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Singh, Sompal, and Ruchika Gupta. "Market Basket Analysis." In Clinical Laboratory Management. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-46420-1_44.

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Olson, David L., and Georg Lauhoff. "Market Basket Analysis." In Computational Risk Management. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7181-3_3.

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Blattberg, Robert C., Byung-Do Kim, and Scott A. Neslin. "Market Basket Analysis." In Database Marketing. Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-72579-6_13.

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Alawadh, Monerah, Israa Al-turaiki, Mohammed Alawadh, and Shahad Tallab. "Saudi Arabia Market Basket Analysis." In Communications in Computer and Information Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36368-0_5.

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Chapman, Chris, and Elea McDonnell Feit. "Association Rules for Market Basket Analysis." In R for Marketing Research and Analytics. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14436-8_12.

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Chapman, Chris, and Elea McDonnell Feit. "Association Rules for Market Basket Analysis." In Use R! Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14316-9_12.

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Valle, Mauricio A., and Gonzalo A. Ruz. "Market Basket Analysis Using Boltzmann Machines." In Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30490-4_49.

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Conference papers on the topic "Market basket analysis"

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Kumar, P., K. N. Manisha, and M. Nivetha. "Enhancing Retail Performance Through Market Basket Analysis." In 2024 Second International Conference on Advances in Information Technology (ICAIT). IEEE, 2024. http://dx.doi.org/10.1109/icait61638.2024.10690589.

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Fnu, Himani, and Srinivas Murri. "Algorithmic Approach for Fraudulent Transaction Detection using Market Basket Analysis with Big Data." In 2025 4th International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE). IEEE, 2025. https://doi.org/10.1109/icdcece65353.2025.11035609.

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Rana, Sohel, Md Nazrul Islam Mondal, and Md Rabiul Islam. "Unveiling Purchase Patterns: A Comparative Analysis of Apriori, FP-Growth, and Eclat Algorithms in Market Basket Analysis." In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE). IEEE, 2025. https://doi.org/10.1109/ecce64574.2025.11013458.

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Rathore, Rachna, Ashish Singh Chauhan, Kailash Aseri, J. Balaji Praveen, Gaurav Sethi, and Ankur Mishra. "Machine Learning Applications in Market Basket Analysis: A Case Study on Electric Vehicle Sales in India." In 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI). IEEE, 2025. https://doi.org/10.1109/iatmsi64286.2025.10984629.

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Trnka, Andrej. "Market Basket Analysis with Data Mining methods." In 2010 International Conference on Networking and Information Technology (ICNIT 2010). IEEE, 2010. http://dx.doi.org/10.1109/icnit.2010.5508476.

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Patwary, Abu Hasnat, Md Tamim Eshan, Prazzal Debnath, and Abdus Sattar. "Market Basket Analysis Approach to Machine Learning." In 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2021. http://dx.doi.org/10.1109/icccnt51525.2021.9580175.

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Hussain, Mohammed, and Abdullah Hussein. "Market Basket Analysis of Student Attendance Records." In 2019 IEEE Global Engineering Education Conference (EDUCON). IEEE, 2019. http://dx.doi.org/10.1109/educon.2019.8725114.

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Bhargav, Anshul, Robin Prakash Mathur, and Munish Bhargav. "Market basket analysis using artificial neural network." In 2014 International Conference for Convergence of Technology (I2CT). IEEE, 2014. http://dx.doi.org/10.1109/i2ct.2014.7092091.

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Salman, Reem Elfatih, and Ayman Alzaatreh. "Market Basket Analysis of Chicago Road Accidents." In 2022 Advances in Science and Engineering Technology International Conferences (ASET). IEEE, 2022. http://dx.doi.org/10.1109/aset53988.2022.9734867.

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Kumar, P., K. N. Manisha, and M. Nivetha. "Market Basket Analysis for Retail Sales Optimization." In 2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE). IEEE, 2024. http://dx.doi.org/10.1109/ic-etite58242.2024.10493283.

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Reports on the topic "Market basket analysis"

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Balteanu, Irina, Katja Schmidt, and Francesca Viani. Sourcing all the eggs from one basket: trade dependencies and import prices. Banco de España, 2025. https://doi.org/10.53479/38920.

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Highly concentrated imports can be a source of vulnerability in an environment characterized by geopolitical tensions. In light of this concern, some recently adopted policies aim to dilute advanced economies’ import concentration for key products. Likewise, a tendency towards supplier diversification has been observed in firm surveys. In this paper, we study how countries’ import concentration in a few external providers affects import prices. Import concentration decreased in OECD countries in the last two decades, especially up to the global financial crisis, in the hyper-globalization peri
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Vizmanos, Jana Flor, Jose Ramon Albert, Mika Muñoz, et al. Addressing Data Gaps with Innovative Data Sources. Philippine Institute for Development Studies, 2022. https://doi.org/10.62986/dp2022.55.

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With the advent of digital transformation, information and communications technology innovations have also led to a "data revolution" wherein more data is being captured, produced, stored, accessed, analyzed, archived, and reanalyzed at an exponential pace. An examination of new data sources, including big data and crowd-sourced data, can complement traditional sources of statistics and unlock insights that can ultimately lead to interventions for better outcomes by informing policies and actions toward attaining robust, sustainable, and inclusive development. This study will examine PIDS webs
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Fischer, J. Desiccant-Based Preconditioning Market Analysis. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/777645.

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Dias, M. B., Robert Zlot, Nidhi Kalra, and Anthony Stentz. Market-Based Multirobot Coordination: A Survey and Analysis. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada526116.

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Sharma, Somnath, Shashi Kant, Ranjeeta Mishra, and Dina Azhgaliyeva. Market Access and Firm Performance: Evidence Based on GIS Analysis of Road Network and Manufacturing-Plant-Level Data from India. Asian Development Bank Institute, 2023. http://dx.doi.org/10.56506/phtn2138.

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We investigate whether better access to markets through an improved road network plays a role in improving firm profitability in India. We construct a district-level market access index using shapefiles of India's road network, district boundaries, and nightlight raster images and estimate the shortest driving distances for districts using the road network. Using the annual survey of industries data for India during 2001–2015, we show that market access through improved road connectivity resulted in a lower dispersion of ROA between 2001 and 2015 in India.
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Kalra, Nidhi, Robert Zlot, M. B. Dias, and Anthony Stentz. Market-Based Multirobot Coordination: A Comprehensive Survey and Analysis. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada529008.

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Fischer, J. Active Desiccant-Based Preconditioning Market Analysis and Product Development. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/777700.

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8

Juárez, Leticia. Buyer Market Power and Exchange Rate Pass-through. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0005083.

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Abstract:
This paper studies the role of buyer market power in determining the response of international prices to exchange rate changes (i.e., exchange rate pass-through). Using a novel dataset of the universe of Colombian export transactions that links Colombian exporters (sellers) to their foreign importers (buyers), I document three facts: i) most Colombian exports are concentrated in a few foreign buyers in each market, ii) the same seller charges different prices to different buyers in the same product and destination, and iii) markets with a higher concentration of sales among buyers display lowe
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Ashraf, Quamrul, Boris Gershman, and Peter Howitt. Banks, Market Organization, and Macroeconomic Performance: An Agent-Based Computational Analysis. National Bureau of Economic Research, 2011. http://dx.doi.org/10.3386/w17102.

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Johnson, M. L., M. S. Phifer, W. A. Bratten, and M. L. Emrich. Corporate data base machines: Market analysis for the Joint Staff. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/6004609.

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