Collect and analysis of agro-biodiversity data in a participative context: A business intelligence framework
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Sandro Bimonte | Lucile Sautot | Frédéric Flouvat | Olivier Billaud | Nora Rouillier | Benoît Fontaine | Thomy Martin | Ali Hassan | B. Fontaine | Frédéric Flouvat | S. Bimonte | O. Billaud | Lucile Sautot | Nora Rouillier | Ali Hassan | T. Martin
[1] Amaury Lambert,et al. Mass extinction in poorly known taxa , 2015, Proceedings of the National Academy of Sciences.
[2] Daniel A. Keim,et al. Challenges in Visual Data Analysis , 2006, Tenth International Conference on Information Visualisation (IV'06).
[3] Christian S. Jensen,et al. A foundation for capturing and querying complex multidimensional data , 2001, Inf. Syst..
[4] Lucile Sautot,et al. The hierarchical agglomerative clustering with Gower index: A methodology for automatic design of OLAP cube in ecological data processing context , 2015, Ecol. Informatics.
[5] Manuel Vilares,et al. Supporting knowledge discovery for biodiversity , 2015 .
[6] Miquel Sànchez-Marrè,et al. Which method to use? An assessment of data mining methods in Environmental Data Science , 2018, Environ. Model. Softw..
[7] Ian H. Witten,et al. The WEKA data mining software: an update , 2009, SKDD.
[8] Gregory Piatetsky-Shapiro,et al. The KDD process for extracting useful knowledge from volumes of data , 1996, CACM.
[9] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[10] Mark Roantree,et al. Anomaly detection in agri warehouse construction , 2017, ACSW.
[11] Bambang Parmanto,et al. SOVAT: Spatial OLAP Visualization and Analysis Tool , 2005, Proceedings of the 38th Annual Hawaii International Conference on System Sciences.
[12] Christoph G. Schütz,et al. Building an active semantic data warehouse for precision dairy farming , 2018, J. Organ. Comput. Electron. Commer..
[13] Jason Weston,et al. Gene Selection for Cancer Classification using Support Vector Machines , 2002, Machine Learning.
[14] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[15] Guy Camilleri,et al. A Volunteer Design Methodology of Data Warehouses , 2018, ER.
[16] Andreas Schmidt,et al. Data mining and linked open data – New perspectives for data analysis in environmental research , 2015 .
[17] C. Hallmann,et al. Declining abundance of beetles, moths and caddisflies in the Netherlands , 2019, Insect Conservation and Diversity.
[18] Shulin Wang,et al. Feature selection in machine learning: A new perspective , 2018, Neurocomputing.
[19] Longbing Cao,et al. Domain-Driven Data Mining: Challenges and Prospects , 2010, IEEE Transactions on Knowledge and Data Engineering.
[20] Torben Bach Pedersen,et al. Enabling Spatial OLAP Over Environmental and Farming Data with QB4SOLAP , 2016, JIST.
[21] T. Dooren. Assessing species richness trends: Declines of bees and bumblebees in the Netherlands since 1945. , 2019 .
[22] Sandro Bimonte. Current Approaches, Challenges, and Perspectives on Spatial OLAP for Agri-Environmental Analysis , 2016, Int. J. Agric. Environ. Inf. Syst..
[23] Elena Navarro,et al. The New Era of Business Intelligence Applications: Building from a Collaborative Point of View , 2019, Bus. Inf. Syst. Eng..
[24] A. Gentile,et al. Meta-analysis reveals declines in terrestrial but increases in freshwater insect abundances , 2020, Science.
[25] Longbing Cao,et al. Data Science , 2017, ACM Comput. Surv..
[26] Steve Kelling,et al. Data-Intensive Science: A New Paradigm for Biodiversity Studies , 2009 .
[27] R. Bommarco,et al. Ecological intensification: harnessing ecosystem services for food security. , 2013, Trends in ecology & evolution.
[28] Mollie E. Brooks,et al. Generalized linear mixed models: a practical guide for ecology and evolution. , 2009, Trends in ecology & evolution.
[29] Pierre Geurts,et al. Extremely randomized trees , 2006, Machine Learning.
[30] Simon Goring,et al. Situating Ecology as a Big-Data Science: Current Advances, Challenges, and Solutions , 2018, BioScience.