Results 211 to 220 of about 1,150 (251)
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Market basket analysis from egocentric videos
Pattern Recognition Letters, 2018Abstract This paper presents Visual Market Basket Analysis (VMBA), a novel application domain for egocentric vision systems. The final goal of VMBA is to infer the behavior of the customers of a store during their shopping. The analysis relies on image sequences acquired by cameras mounted on shopping carts. The inferred behaviors can be coupled with
Vito Santarcangelo +2 more
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Market basket analysis with networks
Social Network Analysis and Mining, 2010The 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”.
Troy Raeder, Nitesh V. Chawla
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Market Basket Analysis Approach to Machine Learning
2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021Market Basket Analysis is an important aspect of a retail organization's analytical framework for deciding where products should be placed and developing sales promotions for various segments of consumers to increase customer loyalty and, as a result, benefit.
Abu Hasnat Patwary +3 more
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2008
Market basket analysis scrutinizes the products customers tend to buy together, and uses the information to decide which products should be cross-sold or promoted together. The term arises from the shopping carts supermarket shoppers fill up during a shopping trip.
Robert C. Blattberg +2 more
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Market basket analysis scrutinizes the products customers tend to buy together, and uses the information to decide which products should be cross-sold or promoted together. The term arises from the shopping carts supermarket shoppers fill up during a shopping trip.
Robert C. Blattberg +2 more
openaire +2 more sources
Market basket analysis in a multiple store environment
Decision Support Systems, 2005Market basket analysis (also known as association-rule mining) is a useful method of discovering customer purchasing patterns by extracting associations or co-occurrences from stores' transactional databases. Because the information obtained from the analysis can be used in forming marketing, sales, service, and operation strategies, it has drawn ...
Yen-Liang Chen +3 more
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Egocentric Vision for Visual Market Basket Analysis
2016This paper introduces a new application scenario for egocentric vision: Visual Market Basket Analysis (VMBA). The main goal in the proposed application domain is the understanding of customers behaviours in retails from videos acquired with cameras mounted on shopping carts (which we call narrative carts).
Vito Santarcangelo +2 more
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Market Basket Analysis of Student Attendance Records
2019 IEEE Global Engineering Education Conference (EDUCON), 2019Many educational institutions enforce attendance policies, where students are expected to have their absences below a certain percentage in each class. Attendance records are collected to enforce such policies, but they are rarely utilized for anything else. In this paper, we investigate the value of analyzing the records pulled from student attendance
Mohammed Hussain, Abdullah Hussein
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2016
Knowledge discovery is the effort to find information from data. In contemporary terms, it is the application of tools (from statistics and from artificial intelligence) to extract interesting patterns from data stored in large databases. Here interesting means non-trivial, implicit, previously unknown, and easily understood and described knowledge ...
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Knowledge discovery is the effort to find information from data. In contemporary terms, it is the application of tools (from statistics and from artificial intelligence) to extract interesting patterns from data stored in large databases. Here interesting means non-trivial, implicit, previously unknown, and easily understood and described knowledge ...
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Market Basket Analysis algorithms with
The MapReduce approach has been popular in computing large scale data since Google implemented its platform on Google Distributed File Systems (GFS) followed by Amazon Web Service (AWS) providing the Apache Hadoop platform in inexpensive computing nodes.
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Market Basket Analysis Using Boltzmann Machines
2019In this paper we present a proposal to analyze market baskets using minimum spanning trees, based on couplings between products. The couplings are the result of a learning process with Boltzmann machines from transactional databases, in which the interaction between the different offers of the market are modeled as a network composed by magnetic ...
Mauricio A. Valle, Gonzalo A. Ruz
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