Lorico, John Kenneth C. 4 0

ECollectibles: mobile application for locating rare items and predicting future values of collectible items using data mining / 6 6 Lorico, John Kenneth C., Manioza, John Jristian S. - - - 181pp. 28 cm. - - - - - . - . - 0 . - . - 0 .

Thesis: (BSCS major in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2017.





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EXECUTIVE SUMMARY: INTRODUCTION: The proposed study is all about data mining of collectible items and processes them to useful information. OBJECTIVE: The project aims to assist collectors by showing them where they can find certain collectible items. The proponents will also be adding functions to the system like being able to sort and recommend item as well as displaying the future values of items. CONCLUSION: Collectors have different reasons why thy collect items and there are items that have higher value than people mostly think. Having better information on different collectible items give collectors convenience and a wider array of choices. PROCESS: The proponents decided to make the approach simple and straight to the point. The application's design is simple with just the right amount of details to make it easier to understand for user. The system records data and transforms it to useful information. RECOMMENDATION: Instead of only within Metro manila, widening the scope of area of the study can yield more results. Adding more items other than collectible items can also give the system more utility.













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