Pamantasan Volleyball Analyzer (PVA): a PLM based mobile application that helps volleyball coaches analyze and strategize their games using Data Mining (Record no. 25634)

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fixed length control field 02365nam a2200265Ia 4500
001 - CONTROL NUMBER
control field 77628
003 - CONTROL NUMBER IDENTIFIER
control field ft6179
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251119154341.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190427n 000 0 eng d
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Description conventions rda
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Language code of text/sound track or separate title engtag
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Classification number T58.4 Al3 2017
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100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Alcantara, Adonis A. and Fulgencio, Maria Erika A.
245 #0 - TITLE STATEMENT
Title Pamantasan Volleyball Analyzer (PVA): a PLM based mobile application that helps volleyball coaches analyze and strategize their games using Data Mining
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture .
Name of producer, publisher, distributor, manufacturer .
Date of production, publication, distribution, manufacture, or copyright notice c2017
300 ## - PHYSICAL DESCRIPTION
Other physical details Undergraduate Thesis (BSCS major in Information Technology) Paantasan ng Lungsod ng Maynila, 2017.
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Materials specified 0
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Media type term unmediated
Source rdamedia
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Source rdacarrier
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Formatted contents note 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.
526 ## - STUDY PROGRAM INFORMATION NOTE
Classification Filipiniana
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Genre/form data or focus term academic writing
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Institution code [OBSOLETE] lcc
Item type Thesis/Dissertation
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Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent Location Current Location Shelving location Fund Source Total Checkouts Full call number Barcode Date last seen Item type
          Filipiniana-Thesis PLM PLM Archives Donation   T58.4 Al3 2017 FT6179 2025-09-20 Thesis/Dissertation

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