Pamantasan Volleyball Analyzer (PVA): a PLM based mobile application that helps volleyball coaches analyze and strategize their games using Data Mining
By: Alcantara, Adonis A. and Fulgencio, Maria Erika A
Language: English . . c2017Description: Undergraduate Thesis (BSCS major in Information Technology) Paantasan ng Lungsod ng Maynila, 2017Content type: text Media type: unmediated Carrier type: volumeGenre/Form: academic writingDDC classification: . LOC classification: T58.4 Al3 2017| Item type | Current location | Home library | Collection | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|---|
| Thesis/Dissertation | PLM | PLM Archives | Filipiniana-Thesis | T58.4 Al3 2017 (Browse shelf) | Available | FT6179 |
EXECUTIVE SUMMARY: The thesis is an android based mobile application that aims to help the PLM coaches in analysing and strategizing their volleyball game match using data mining techniques. The researchers have 3 main objectives that needed to be fulfilled. The first one is to create an application that will assist in evaluating the tactical decision making skills of setters. The proponents will use a performance analysis to be able to analyze the tactical decision making skill of a volleyball setter. The second objective of the capstone project that the proponents proposed was to devise a system that doesn’t require optical tracking data in detecting spatiotemporal patterns. They analyze a game match, collect the necessary data and process it to useful information that can be able to satisfy the said objective. Lastly, to make an application that constantly update information about the trend on winning teams through the use of crowdsourcing. The proponents collected a bunch of game history and use and process it using data mining to make an output that displays about the trend of Winning and Losing teams. The researchers of the thesis concluded that using more data would gradually make the system produce much accurate information and would be able to fulfil the objectives with precision. The recommendations by the researchers includes the usage of the application with a mobile device with bigger memory and a device that has a preferably large screen, most likely a tablet.
Filipiniana

There are no comments for this item.