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Published byDennis Kennedy Modified over 9 years ago
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Ximing Yu Ying Jin Cai Chen
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Business Model Targeted audience attract targeted advertisements $ Co-operate with betting companies by bringing in new customers through our bond with the visitors Charged membership service such as more critical information expose
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Architecture
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Data Mining Logistic Regression: Probability of each class label Input Pool(23 input) week, h/a points4week, h/a points10week, h/a points30week, h/a teamhomeawaywinratio, h/a drawratio, h/a avggoalfor10week, h/a avggoalfor40week, hometeamhomewinratio, awayteamawaywinratio, hometeamhomedrawratio, awayteamawaydrawratio, h/a avggoalagainst10week, h/a vggoalagainst40week Output: Result(hw-home win, aw-away win, draw-dr)
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Data Mining Accuracy: 85% Average Odds as benchmark Predicted Probability V.s. Probability from odds Matchhwindrawawinhwindrawawin Napoli - Atalanta0.650.210.130.5460.2980.156 Udinese - Bari0.520.300.170.5990.2640.138 AS Roma - Cagliari0.820.120.050.6920.2190.089 Inter - Chievo0.840.100.040.6840.2360.08 Juventus - Parma0.700.190.100.5750.2770.148 Palermo - Sampdoria0.440.280.260.4510.3430.206 Genoa - AC Milan0.450.280.250.3740.3360.29 Bologna - Catania0.380.520.080.4380.3160.246 Livorno - Lazio0.140.250.600.3090.3810.31 Fiorentina - Siena0.680.210.100.370.4150.215
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Novelty Google App Engine Intelligent Spider Data Duration: 12 Years Quick Search Engine for Clubs and Players
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Competitor Analysis Website Rich History Data Information Integration EntertainPrediction BetExploror Football- Italian La Gazzetta dello Sport.it BetSmart
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Team Contribution Team MemberTasks Ximing Yu Architecturing, Spidering Data pre-processing Ying JinWeb Design, Data Mining, API Integration Cai Chen Project Manager, API Integration, Data Mining
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