stdClass Object
(
    [id] => 7057
    [paper_index] => 202205-02-010404
    [title] => DATA MINING TECHNIQUE TO FIND LOW-COST GROCERIES
    [description] => 
    [author] => Amrutha B, Muthuramalingam B
    [googlescholar] => https://scholar.google.co.in/scholar?q=eprajournals.com&hl=en&scisbd=2&as_sdt=0,5
    [doi] => 
    [year] => 2022
    [month] => May
    [volume] => 7
    [issue] => 5
    [file] => 938pm_67.EPRA JOURNALS 10404.pdf
    [abstract] => An e-store, internet shop, web shop, online store, or virtual store is the physical equivalent of purchasing goods or services from a real business or shopping center. This is known as business-to-consumer (B2C) online shopping. The shopping cart project must design a shopping cart system to organize product data and other consumer information. When a customer adds a product to their cart, the algorithm compares data from other stores to find low-cost alternatives. Sentimental analysis is used to determine the pricing of the items in the cart. It compares the prices of each product across different stores and delivers a result that allows you to acquire everything for a low price. The data is evaluated using the Naive Bayes classifier, which looks at each product in the dataset and assesses if it is being purchased at a low cost.
    [keywords] => Naive Bayes classifier, Sentimental analysis, Low-cost prediction.
    [doj] => 2022-06-01
    [hit] => 1487
    [status] => y
    [award_status] => P
    [orderr] => 67
    [journal_id] => 2
    [googlesearch_link] => 
    [edit_on] => 
    [is_status] => 1
    [journalname] => EPRA International Journal of Research & Development (IJRD)
    [short_code] => IJSR
    [eissn] =>  2455-7838 (Online)
    [pissn] => - -
    [home_page_wrapper] => images/products_image/2-n.png
)
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