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_aDiwa, Raniel Joshua T. and Laserna, Frances Keith M.
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_aOnline grocery system using algorithm applied in identifying associated brands for data analysis /
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_cDiwa, Raniel Joshua T. and Laserna, Frances Keith M.
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_cMarch 2019.46
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_c28 cm.
_a119 pp.
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_atext
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_aunmediated
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_aThesis: (BSCS major in Computer Science) - Pamantasan ng Lungsod ng Maynila, 2019.
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_aABSTRACT: The conventional method of doing the grocery is going to the physical supermarket and buying or purchasing goods. In the generation today, everything is going digital, shopping or doing groceries included. Now that almost everything is digital, using data mining concepts can be an advantage for businesses and consumers. One of these data mining concepts is the Apriori algorithm, where it produces frequent item sets. This algorithm can be applied in identifying associated brands in a grocery. As a supermarket, it is important to know what items or brands the users are looking for. As a brand, it is also important to know who or what other brands or items associated with you. The researchers proposed to use the Apriori algorithm in an online grocery system to identify the associated brands. The input for the algorithm is the user's activity, the items they view, search, and buy. The proponents designed the system wherein it will the user's activity and use it to produce the data analysis for the consumers and reports for the supermarket. After creating the system, the consumers can compare items and see their details side by side. For the supermarket, they can cow see what the users look for and what they actually buy. The proponents conclude that the study can be a help to supermarkets and consumers at the same time. The supermarket can make better decisions now that they have more data and more analyzations to base from. The consumers also can make decisions in buying goods by being able to compare products and see their differences.
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