Relevant bibliographies by topics / Market basket

Contents

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

Academic literature on the topic 'Market basket'

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

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Journal articles on the topic "Market basket"

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Starman, Terri Woods, and James E. Faust. "Quality, Timing, and Market Potential Vary with Species, Plant and Pinch Number for Hanging Basket Crops." HortScience 31, no. 4 (1996): 681f—682. http://dx.doi.org/10.21273/hortsci.31.4.681f.

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The objective was to provide options for hanging basket production schedules by varying the number of plants per pot (one to four) and the number of manual pinches per basket (zero to two). Several species were evaluated in Spring 1995 and heat tolerance was assessed throughout the summer. Plugs (82 plugs per flat) were transplanted into 25-cm hanging baskets in a 22/18°C (venting/night temperature set points) glasshouse. Bacopa speciosa `Snowflake', Brachycome iberidifolia `Crystal Falls', Helichrysum bracteatum `Golden Beauty', Scaevola aemula `New Blue Wonder', and Streptocarpella hybrid `C
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Rubinstein, Mark. "Market Basket Alternatives." Financial Analysts Journal 45, no. 5 (1989): 20–29. http://dx.doi.org/10.2469/faj.v45.n5.20.

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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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King, J. C. H. "Pomo Indian Basket Weavers. Their Baskets and the Art Market:Pomo Indian Basket Weavers. Their Baskets and the Art Market;Pomo Indian Basket Weavers. Their Baskets and the Art Market." American Anthropologist 101, no. 3 (1999): 619–27. http://dx.doi.org/10.1525/aa.1999.101.3.619.

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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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Hewawitharana, Sridharshi C., Karen L. Webb, Ron Strochlic, and Wendi Gosliner. "Comparison of Fruit and Vegetable Prices between Farmers’ Markets and Supermarkets: Implications for Fruit and Vegetable Incentive Programs for Food Assistance Program Participants." Nutrients 14, no. 9 (2022): 1842. http://dx.doi.org/10.3390/nu14091842.

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This cross-sectional study was part of a larger evaluation of a fruit and vegetable (FV) incentive program for Supplemental Nutrition Assistance Program (SNAP) participants in California. We examined the price differences in FV to explore whether these could help explain a previously observed lack of effect of the incentive program on FV consumption. Differences by type (organic/no-spray or conventional), among a convenience sample of farmers’ markets (n = 11) and nearby supermarkets (n = 7), were assessed using Wilcoxon rank-sum tests adjusting for clustering by market. We calculated the cost
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Lawrence, Edgar, Bagus Mulyawan, and Novario Jaya Perdana. "MARKET BASKET ANALYST BASED ON WEBSITE USING ECLAT ALGORITHM (CASE STUDY POLA PHARMACY)." Jurnal Ilmu Komputer dan Sistem Informasi 8, no. 2 (2020): 205. http://dx.doi.org/10.24912/jiksi.v8i2.11497.

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Market basket analyst is a data mining technique todiscover associations between datasets. Association rulemining identifies a relationship between a large set ofdata item. When a large quantity of data is constantlyobtained and stored in database, several industries arebecoming concerned about mining association rulesfrom their databases. Market basket analysis examinescustomer buying patterns by identifying associationsamong various items that customers place in theirshopping baskets. It is helpful to examine customerpurchasing behaviour and assists in increasing sales. Sothis system is inte
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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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Shukla, Pravina. "Pomo Indian Basket Weavers: Their Baskets and the Art Market:POMO INDIAN BASKET WEAVERS: THEIR BASKETS AND THE ART MARKET." Museum Anthropology 24, no. 1 (2000): 80–84. http://dx.doi.org/10.1525/mua.2000.24.1.80.

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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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Dissertations / Theses on the topic "Market basket"

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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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Shrestha, Joseph, H. David Jeong, and Douglas D. Gransberg. "Multidimensional Highway Construction Cost Indexes Using Dynamic Item Basket." Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etsu-works/717.

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A highway construction cost index (HCCI) is an indicator of the purchasing power of a highway agency. Thus, it must reflect the actual construction market conditions. However, current methods used by most state departments of transportation are not robust enough to meet this primary goal due to (1) a significantly insufficient sample size of bid items used in HCCI calculation; and (2) inability to address the need to track highway construction market conditions in specific submarket segments such as, but not limited to, various project types, sizes, and locations. This study proposes an advanc
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Raščiauskaitė, Vaida. "Pirkinių krepšelio statistiniai modeliai." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2014. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2012~D_20140704_172507-13735.

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Kai prekės parduodamos telefonu, įprasti pirkinių krepšelio modeliai netinka, nes ne visos prekės būna pasiūlytos visiems klientams. Šiame magistro darbe keli žinomi modeliai adaptuoti tokiai situacijai. Be to, sukurtas naujas modelis, kuriame atsižvelgiama į kliento pirkimų apimtis ir laiką, praėjusį nuo paskutinio pirkimo. Visi modeliai pritaikyti realiems pardavimų duomenims.<br>When items are sold via phone, common market basket models can not be applied, because not every item has been proposed to every customer. In this master thesis some known models are adapted to this particular case.
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CALDANA, RUGGERO. "Spread and basket option pricing: an application to interconnected power markets." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2012. http://hdl.handle.net/10281/39422.

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An interconnector is an asset that gives the owner the right, but not the obligation, to transmit electricity between two locations each hour of the day over a prefixed time period. The financial value of the interconnector is given by a series of options that are written on the price differential between two electricity markets, that is, a strip of European options on an hourly spread. Since the hourly forward price is not directly observable on the market, Chapter 1 proposes a practical procedure to build an hourly forward price curve, fitting both base load and peak load forward quotations.
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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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MY, DO TRA. "Apply data mining to segment retail market based on purchasing portfolios." Thesis, Högskolan i Borås, Institutionen Handels- och IT-högskolan, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-20774.

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Market segmentation is becoming very familiar and essential to every marketer in the process of designing and implementing an effective target-marketing strategy. It is confirmed in the grocery retail industry about the importance of appropriate market segmentation. In this industry, customer purchasing behavior needs to be acknowledged not only in specific products, but also the interaction among the whole range of products. Therefore, the motivation for this thesis is to discover a segmentation based on this purchasing behavior among whole range of products, which is called purchasing patter
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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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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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Books on the topic "Market basket"

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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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Murphy, Carol. Mashi Craft Market--crafts and livelihoods in Caprivi. Directorate of Environmental Affairs, Ministry of Environment and Tourism, 2003.

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National Research Council (U.S.). Committee on NAEP Reporting Practices: Investigating District-Level and Market-Basket Reporting. NAEP reporting practices: Investigating district-level and market-basket reporting. Edited by DeVito Pasquale J, Koenig Judith A, and National Research Council (U.S.). Center for Education. National Academy Press, 2001.

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Pingal, Edith. Mother Nature's market basket: A do-it-yourself survival book. Vantage Press, 1991.

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Avesani, Renzo G. A new risk indicator and stress testing tool: A multifactor Nth-to-default CDS basket. International Monetary Fund, Monetary and Financial Systems Dept., 2006.

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Shang-Jin, Wei, and National Bureau of Economic Research., eds. Estimation of de facto exchange rate regimes: Synthesis of the techniques for inferring flexibility and basket weights. National Bureau of Economic Research, 2008.

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Minnesota. Dept. of Human Services., ed. A Market basket evaluation of the AFDC Standard of Need: A report to the 1991 Legislature. Dept. of Human Services, 1990.

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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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Inc, Gallery 10. Gall ery 10 Inc. invites you to Sante Fe for our four terrific Indian Market shows. Gallery 10 Inc., 1988.

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Office, General Accounting. Consumer Price Index: More frequent updating of market basket expenditure weights is needed : report to the Ranking Minority Member, Committee on Banking and Financial Services, House of Representatives. The Office, 1997.

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Book chapters on the topic "Market basket"

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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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Zhang, Xuelin, and Michael Hatfield. "Market Basket Measure." In Encyclopedia of Quality of Life and Well-Being Research. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_3647.

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Zhang, Xuelin, and Michael Hatfield. "Market Basket Measure." In Encyclopedia of Quality of Life and Well-Being Research. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-69909-7_3647-2.

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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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Zhang, Xuelin, and Michael Hatfield. "Market Basket Measure." In Encyclopedia of Quality of Life and Well-Being Research. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17299-1_3647.

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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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Conference papers on the topic "Market basket"

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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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Farheen, Zaiba, and Andhe Dharani. "Prediction of Customer Purchasing Patterns for Retail Optimization Using Market Basket Techniques." In 2024 8th International Conference on Computational System and Information Technology for Sustainable Solutions (CSITSS). IEEE, 2024. https://doi.org/10.1109/csitss64042.2024.10816740.

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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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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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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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Gayathri, Behera. "Efficient market basket analysis based on FP-Bonsai." In 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). IEEE, 2017. http://dx.doi.org/10.1109/i-smac.2017.8058287.

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Waghmare, Vijayata, and Debajyoti Mukhopadhyay. "Mobile Agent Based Market Basket Analysis on Cloud." In 2014 International Conference on Information Technology (ICIT). IEEE, 2014. http://dx.doi.org/10.1109/icit.2014.21.

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Ghadekar, Premanand, and Anay Dombe. "Image-Based Product Recommendations Using Market Basket Analysis." In 2019 5th International Conference On Computing, Communication, Control And Automation (ICCUBEA). IEEE, 2019. http://dx.doi.org/10.1109/iccubea47591.2019.9128524.

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Wang, Baoying, Qin Ding, and Imad Rahal. "Parallel Hierarchical Clustering on Market Basket Data." In 2008 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE, 2008. http://dx.doi.org/10.1109/icdmw.2008.32.

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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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Reports on the topic "Market basket"

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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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Woodruffe, P. Rosebank: Cabbages, Horses and Science. Unitec ePress, 2014. http://dx.doi.org/10.34074/emed.010.

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In 1993, Neville Exler filmed on his Sony Handicam, the three Connell brothers on site at their market garden on Rosebank Road. This film was made just as these men, the last farmers on Rosebank Road were negotiating the sale of their farmland for development, and so ending the last chapter of Rosebank Road as the fruit and vegetable basket of Auckland. In 2012 this video was given to our research collective to convert to digital format.
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Delgado-Prieto, Lukas, Andrea Otero-Cortés, and Andrés Calderón. The Impact of Hard Discount Stores on Local Labor Markets: Evidence from Colombia. Banco de la República, 2024. http://dx.doi.org/10.32468/dtseru.326.

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Hard discount stores (HDS) have changed the dynamics of the traditional retail sector by selling a basket of products at very low prices. This business model has gained significant market share in many countries, but little is known about its impact on the labor market. To fill this gap in the literature, in this paper we study the impact of the entry of hard discounters on local labor markets in Colombia. Making use of the staggered geographic expansion of major discount chains throughout of the main discount chains throughout the country as part of our empirical strategy and using informatio
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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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Cortazar, Gonzalo, Alejandro Bernales, and Diether Beuermann. Risk Management with Thinly Traded Securities: Methodology and Implementation. Inter-American Development Bank, 2013. http://dx.doi.org/10.18235/0011507.

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Thinly traded securities exist in both emerging and well developed markets. However, plausible estimations of market risk measures for portfolios with infrequently traded securities have not been explored in the literature. We propose a methodology to calculate market risk measures based on the Kalman filter which can be used on incomplete datasets. We implement our approach in a fixed- income portfolio within a thin trading environment. However, a similar approach may be also applied to other markets with thinly traded securities. Our methodology provides reliable market risk measures in port
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Ortu, Fulvio, Pietro Reggiani, and Federico Severino. Persistence-based capital allocation along the FOMC cycle. CIRANO, 2024. http://dx.doi.org/10.54932/tuhb8180.

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The Federal Reserve holds two main sets of monetary policy meetings, the “Federal Open Market Committee” (FOMC) and the “Board Meetings”, which gather with sixweek and two week cadence respectively. Cieslak, Morse, and Vissing-Jorgensen (2019) show that the cadence of these meetings is associated with cycles of corresponding frequencies in stock markets. These can be fruitfully exploited through a portfolio strategy that invests in the whole market at alternate weeks (the even-week strategy). This simple investment rule is based on the cycles identified empirically but, so far, lacks a theoret
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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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Krugman, Paul. Market-Based Debt-Reduction Schemes. National Bureau of Economic Research, 1988. http://dx.doi.org/10.3386/w2587.

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Acker, Daniella. Computer-Based Stock Market Game. The Economics Network, 2001. http://dx.doi.org/10.53593/n149a.

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10

Staking, Kim B., and Antonio Vives. Financial Intermediation and Policy-Based Lending: Policy Recommendations for Latin America and the Caribbean. Inter-American Development Bank, 1997. http://dx.doi.org/10.18235/0011607.

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Abstract:
This paper discusses the conditions under which policy-based lending may further economic development within a Latin American and Caribbean context, given the current state of financial markets in most countries of the region. The discussion is intended as a conclusion to the articles presented at the Conference on Policy Based Finance and Alternatives for Financial Market Development, many of which are included in this book. In some degree, this chapter is an attempt at a compromise; a position that does not recommend a formal adoption of policy based finance as it exists in East Asia, but ra
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