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Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016(3)
Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015(2)
Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018(2)
2016 IEEE Congress on Evolutionary Computation, CEC 2016(1)
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Forecast UPC-Level FMCG Demand, Part IV: Statistical Ensemble
Conference ObjectAbstract: Improving forecast accuracy is a major goal of statisticians and forecast practitioners. over the yePalabras claves:ensemble, Fast moving consumer goods, Forecast combination, forecastingAutores:Dazhi Yang, Zhang A.N.Fuentes:scopusForecast UPC-level FMCG demand, Part I: Exploratory analysis and visualization
Conference ObjectAbstract: We are interested in forecasting a large collection of FMCG demand time series. As the demand of FMCPalabras claves:FMCG, forecasting, hierarchical reconciliation, VisualizationAutores:Akcan O., Dazhi Yang, Goh G.S.W., Xu C., Zhang A.N.Fuentes:scopusForecast UPC-level FMCG demand, Part II: Hierarchical reconciliation
Conference ObjectAbstract: In a big data enabled environment, manufacturers and distributors may have access to previously unobPalabras claves:FMCG, forecasting, hierarchical reconciliation, VisualizationAutores:Akcan O., Dazhi Yang, Goh G.S.W., Jiang S., Zhang A.N.Fuentes:scopusForecast UPC-level FMCG demand, Part III: Grouped reconciliation
Conference ObjectAbstract: Coordination across a supply chain creates win-win situation for all players in that supply chain; wPalabras claves:FMCG, forecasting, grouped reconciliation, minimum traceAutores:Dazhi Yang, Goh G.S.W., Jiang S., Zhang A.N.Fuentes:scopusImpact of information sharing and forecast combination on fast-moving-consumer-goods demand forecast accuracy
ArticleAbstract: This article empirically demonstrates the impacts of truthfully sharing forecast information and usiPalabras claves:Fast moving consumer goods, forecasting, hierarchical reconciliation, Information sharingAutores:Dazhi Yang, Zhang A.N.Fuentes:scopusPerforming literature review using text mining, Part I: Retrieving technology infrastructure using Google Scholar and APIs
Conference ObjectAbstract: Technology infrastructure (TechInfra) refers to metadata describing an academic field, such as journPalabras claves:google scholar, last mile logistics, technology infrastructure, TEXT MININGAutores:Dazhi Yang, Yan W.J., Zhang A.N.Fuentes:scopusPerforming literature review using text mining, Part III: Summarizing articles using TextRank
Conference ObjectAbstract: Owing to the popularized utilization of academic search engines, such as Google Scholar or MicrosoftPalabras claves:Automatic summary, Literature review, TEXT MINING, TextRankAutores:Dazhi Yang, Zhang A.N.Fuentes:scopusTowards adaptive weight vectors for multiobjective evolutionary algorithm based on decomposition
Conference ObjectAbstract: The decomposition method in multiobjective evolutionary algorithms (MOEA/D) is an effective approachPalabras claves:Autores:Cai Z., Dazhi Yang, Feng L., Heng C., Jiang S., Ong Y., Tan P., Zhang A.N.Fuentes:scopusVessel movement analysis and pattern discovery using density-based clustering approach
Conference ObjectAbstract: Automatic identification system (AIS) has been widely equipped on vessels for maritime communicationPalabras claves:AIS, density-based clustering, stationary areas of interest, Stops and Moves, traffic routesAutores:Dazhi Yang, Wen R., Yan W.J., Zhang A.N.Fuentes:scopusSpatial data dimension reduction using quadtree: A case study on satellite-derived solar radiation
Conference ObjectAbstract: Satellite data is discrete in both space and time; it can be considered as temporal snapshots (timePalabras claves:Dimension reduction, SOLAR RADIATION, spatial data, variance quadtreeAutores:Dazhi Yang, Goh G.S.W., Jiang S., Zhang A.N.Fuentes:scopus