Mining climate data for shire level wheat yield predictions in Western Australia
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[1] R. Lyman Ott.,et al. An introduction to statistical methods and data analysis , 1977 .
[2] J. March. Bounded rationality, ambiguity, and the engineering of choice , 1978 .
[3] Jock R. Anderson. Impacts of Climatic Variability in Australian Agriculture: A Review , 1979 .
[4] J. Salas,et al. A COMPARATIVE ANALYSIS OF TECHNIQUES FOR SPATIAL INTERPOLATION OF PRECIPITATION , 1985 .
[5] B. Manly. Multivariate Statistical Methods : A Primer , 1986 .
[6] Allan Collins,et al. Cognitive Apprenticeship and Instructional Technology , 1988 .
[7] A. Collins,et al. Situated Cognition and the Culture of Learning , 1989 .
[8] David Garlan,et al. The role of formal reusable frameworks , 1990, Formal Methods in Software Development.
[9] Gordon Miller,et al. Decision Making: Descriptive, Normative, and Prescriptive Interactions , 1990 .
[10] Aggregate food supply and famine early warning , 1991 .
[11] Etienne Wenger,et al. Situated Learning: Legitimate Peripheral Participation , 1991 .
[12] A. Munot,et al. Forecast of rainy season foodgrain production based on monsoon rainfall , 1992 .
[13] Michael F. Young,et al. Instructional design for situated learning , 1993 .
[14] J. Porter,et al. Climatic variability and the modelling of crop yields , 1995 .
[15] M. Buchanan-Smith,et al. Famine early warning and response: the missing link. , 1995 .
[16] Ben Shneiderman,et al. The eyes have it: a task by data type taxonomy for information visualizations , 1996, Proceedings 1996 IEEE Symposium on Visual Languages.
[17] Evangelos Simoudis,et al. An Overview of Issues in Developing Industrial Data Mining and Knowledge Discovery Applications , 1996, KDD.
[18] G. Hammer,et al. A strategy for yield improvement of wheat which accommodates large genotype by environment interactions , 1996 .
[19] Ralph Kimball,et al. A dimensional modeling manifesto , 1997 .
[20] R. Congalton. Exploring and Evaluating the Consequences of Vector-to-Raster and Raster-to-Vector Conversion , 1997 .
[21] Douglas C. Schmidt,et al. Object-oriented application frameworks , 1997, CACM.
[22] Sally Sieloff Magnan,et al. Research Design: Qualitative and Quantitative Approaches , 1997 .
[23] Sean Kelly. Data Warehousing in Action , 1997 .
[24] J. Morison,et al. Effects of CO2 and temperature on growth and yield of crops of winter wheat over four seasons , 1997 .
[25] R. Audi. Epistemology: A Contemporary Introduction to the Theory of Knowledge , 1997 .
[26] Daniel A. Keim,et al. The Gridfit algorithm: an efficient and effective approach to visualizing large amounts of spatial data , 1998, Proceedings Visualization '98 (Cat. No.98CB36276).
[27] Jiawei Han,et al. Generalization-Based Data Mining in Object-Oriented Databases Using an Object Cube Model , 1998, Data Knowl. Eng..
[28] Dorian Pyle,et al. Data Preparation for Data Mining , 1999 .
[29] J. Stoorvogel,et al. Pedology, precision agriculture, and the changing paradigm of agricultural research , 1999 .
[30] H. Eakin. SEASONAL CLIMATE FORECASTING AND THE RELEVANCE OF LOCAL KNOWLEDGE , 1999 .
[31] Stefano Spaccapietra,et al. Spatio-temporal conceptual models: data structures + space + time , 1999, GIS '99.
[32] G. Holmes,et al. Developing innovative applications in agriculture using data mining , 1999 .
[33] Jan Herrington,et al. An instructional design framework for authentic learning environments , 2000 .
[34] John F. Roddick,et al. An Updated Bibliography of Temporal, Spatial, and Spatio-temporal Data Mining Research , 2000, TSDM.
[35] David C. Yen,et al. Data warehousing, technology assessment and management , 2000, Ind. Manag. Data Syst..
[36] Heikki Mannila,et al. Theoretical frameworks for data mining , 2000, SKDD.
[37] R. Martin,et al. Seasonal maize forecasting for South Africa and Zimbabwe derived from an agroclimatological model , 2000 .
[38] Mickey Yost. Data Warehousing and Decision Support at the National Agricultural Statistics Service , 2000 .
[39] Locke M. Carter,et al. Arguments in hypertext: a rhetorical approach , 2000, HYPERTEXT '00.
[40] Deyi Li,et al. LAND USE CLASSIFICATION OF REMOTE SENSING IMAGE WITH GIS DATA BASED ON SPATIAL DATA MINING TECHNIQUES , 2000 .
[41] S. Cook,et al. A decision support system for mapping the site-specific potassium requirement of wheat in the field , 2001 .
[42] Michael Luck,et al. A Conceptual Framework for Agent Definition and Development , 2001, Comput. J..
[43] R. Shibasaki,et al. National spatial crop yield simulation using GIS-based crop production model , 2001 .
[44] W. Shadish,et al. Experimental and Quasi-Experimental Designs for Generalized Causal Inference , 2001 .
[45] James W. Jones,et al. Spatial validation of crop models for precision agriculture , 2001 .
[46] B. Cullis,et al. Applications: The Analysis of Crop Variety Evaluation Data in Australia , 2001 .
[47] M. Goodchild,et al. Geographic Information Systems and Science (second edition) , 2001 .
[48] Petr Kuba,et al. Data structures for spatial data mining , 2001 .
[49] Siddhartha Bhattacharyya,et al. Data mining on time series: an illustration using fast-food restaurant franchise data , 2001 .
[50] R. Allan,et al. Distribution and persistence of temporary wetland habitats in arid Australia in relation to climate , 2001 .
[51] P. Jamieson,et al. Simplifying Sirius: sensitivity analysis and development of a meta-model for wheat yield prediction , 2001 .
[52] Zhigang Li,et al. STIFF: A Forecasting Framework for SpatioTemporal Data , 2002, Revised Papers from MDM/KDD and PAKDD/KDMCD.
[53] Nicolás Marín,et al. Component-based data mining frameworks , 2002, CACM.
[54] J. Lauer. Soft ware SELECT ! : Crop Variety Selection Software for Microcomputers , 2002 .
[55] Jonathan M. Chase,et al. Spatial scale dictates the productivity–biodiversity relationship , 2002, Nature.
[56] Michael R. Middleton,et al. Information as a Resource , 2002 .
[57] Jiawei Han,et al. CLARANS: A Method for Clustering Objects for Spatial Data Mining , 2002, IEEE Trans. Knowl. Data Eng..
[58] Ivanoe De Falco,et al. An evolutionary approach for automatically extracting intelligible classification rules , 2005, Knowledge and Information Systems.
[59] A. Challinor,et al. Toward a combined seasonal weather and crop productivity forecasting system: determination of the working spatial scale , 2003 .
[60] Limsoon Wong,et al. DATA MINING TECHNIQUES , 2003 .
[61] John Wang,et al. Data Mining: Opportunities and Challenges , 2003 .
[62] John Francis Kros,et al. Data mining and the impact of missing data , 2003, Ind. Manag. Data Syst..
[63] Zhilin Li,et al. Raster space with relativity , 2003 .
[64] Michael F. Worboys,et al. GIS : a computing perspective , 2004 .
[65] A. Pitman,et al. Impact of land cover change on the climate of southwest Western Australia , 2004 .
[66] J. Garbrecht,et al. Downscaling Monthly Forecasts to Simulate Impacts of Climate Change on Soil Erosion and Wheat Production , 2004 .
[67] Huan Liu,et al. On Issues of Instance Selection , 2002, Data Mining and Knowledge Discovery.
[68] Taneli Mielikäinen,et al. An Automata Approach to Pattern Collections , 2004, KDID.
[69] Rosa Maria Valdovinos,et al. The Imbalanced Training Sample Problem: Under or over Sampling? , 2004, SSPR/SPR.
[70] Errol C. Caby. Data Mining Using SAS Applications , 2004, Technometrics.
[71] T. Mitchison,et al. A high-throughput cell migration assay using scratch wound healing, a comparison of image-based readout methods , 2004, BMC biotechnology.
[72] Mohammed J. Zaki. Mining Non-Redundant Association Rules , 2004, Data Min. Knowl. Discov..
[73] Elisa Bertino,et al. State-of-the-art in privacy preserving data mining , 2004, SGMD.
[74] Chris Mellish,et al. Advances in Instance Selection for Instance-Based Learning Algorithms , 2002, Data Mining and Knowledge Discovery.
[75] T. Cloughesy,et al. Upregulation of tissue inhibitor of metalloproteinases (TIMP)-2 promotes matrix metalloproteinase (MMP)-2 activation and cell invasion in a human glioblastoma cell line , 2004, Laboratory Investigation.
[76] Ahsan Abdullah,et al. The Case for an Agri Data Warehouse: Enabling Analytical Exploration of Integrated Agricultural Data , 2004, Databases and Applications.
[77] C. Hoadley. Methodological Alignment in Design-Based Research , 2004 .
[78] Jacques Cohen,et al. Bioinformatics—an introduction for computer scientists , 2004, CSUR.
[79] Ryszard S. Michalski,et al. LEARNABLE EVOLUTION MODEL: Evolutionary Processes Guided by Machine Learning , 2004, Machine Learning.
[80] Boris Kovalerchuk. Decision process and its visual aspects , 2004 .
[81] Food Security. Agriculture Organization of the United Nations (FAO) , 2004 .
[82] Guisseppi A. Forgionne,et al. A multiple-criteria framework for evaluation of decision support systems , 2004 .
[83] Daniel A. Keim,et al. Pixel based visual data mining of geo-spatial data , 2004, Comput. Graph..
[84] Edward J. Wegman,et al. Statistical Software for Today and Tomorrow , 2005 .
[85] Jiebo Luo,et al. Data Mining. Multimedia, Soft Computing, and Bioinformatics , 2005, IEEE Transactions on Neural Networks.
[86] Gennady L. Andrienko,et al. Exploratory analysis of spatial and temporal data - a systematic approach , 2005 .
[87] Duncan Dubugras Alcoba Ruiz,et al. A data warehousing environment to monitor metrics in software development processes , 2005, 16th International Workshop on Database and Expert Systems Applications (DEXA'05).
[88] B. J. Oates,et al. Researching Information Systems and Computing , 2005 .
[89] H. Meinke,et al. Three Putative Types of El Niño Revealed by Spatial Variability in Impact on Australian Wheat Yield , 2005 .
[90] Jane Hunter,et al. Generating eScience Workflows from Statistical Analysis of Prior Data , 2005 .
[91] P. Cantelaube,et al. Seasonal weather forecasts for crop yield modelling in Europe , 2005 .
[92] E. Guba,et al. Paradigmatic Controversies, Contradictions, and Emerging Confluences. , 2005 .
[93] José María Carazo,et al. Mining association rules from biological databases , 2005, J. Assoc. Inf. Sci. Technol..
[94] Atish P. Sinha,et al. A comparison of data warehousing methodologies , 2005, CACM.
[95] Omar Boussaïd,et al. An Architecture Framework for Complex Data Warehouses , 2007, ICEIS.
[96] Bernard Ženko,et al. Learning Predictive Clustering Rules , 2005, Informatica.
[97] S. Krauss. Research Paradigms and Meaning Making: A Primer , 2005 .
[98] Josef Kittler,et al. Combining classifiers: A theoretical framework , 1998, Pattern Analysis and Applications.
[99] Barbara A. Kitchenham,et al. Experiences of using an evaluation framework , 2005, Inf. Softw. Technol..
[100] Francisco Herrera,et al. On the combination of evolutionary algorithms and stratified strategies for training set selection in data mining , 2006, Appl. Soft Comput..
[101] Pavel Berkhin,et al. A Survey of Clustering Data Mining Techniques , 2006, Grouping Multidimensional Data.
[102] M. Sivakumar,et al. Climate prediction and agriculture: current status and future challenges , 2006 .
[103] Gary Geunbae Lee,et al. MMR-based Active Machine Learning for Bio Named Entity Recognition , 2006, NAACL.
[104] Ronald D. Brunner. A Paradigm for Practice , 2006 .
[105] J. Hansen,et al. Bias correction of daily GCM rainfall for crop simulation studies , 2006 .
[106] K. Stahl,et al. Comparison of approaches for spatial interpolation of daily air temperature in a large region with complex topography and highly variable station density , 2006 .
[107] Salvatore Orlando,et al. Fast and memory efficient mining of frequent closed itemsets , 2006, IEEE Transactions on Knowledge and Data Engineering.
[108] N. Mackenzie,et al. Research dilemmas: Paradigms, methods and methodology , 2006 .
[109] S. Sathiya Keerthi,et al. Parallel sequential minimal optimization for the training of support vector machines , 2006, IEEE Trans. Neural Networks.
[110] V. Rao Vemuri,et al. An application of principal component analysis to the detection and visualization of computer network attacks , 2006, Ann. des Télécommunications.
[111] Kiyoshi Honda,et al. Web GIS in practice IV: publishing your health maps and connecting to remote WMS sources using the Open Source UMN MapServer and DM Solutions MapLab , 2006, International journal of health geographics.
[112] Hui Xiong,et al. Hyperclique pattern discovery , 2006, Data Mining and Knowledge Discovery.
[113] Jiuyong Li,et al. On optimal rule discovery , 2006, IEEE Transactions on Knowledge and Data Engineering.
[114] G. Metternicht,et al. Testing the performance of spatial interpolation techniques for mapping soil properties , 2006 .
[115] Heidrun Schumann,et al. A framework for visual data mining of structures , 2006, ACSC.
[116] T. Deressa. Measuring the Economic Impact of Climate Change on Ethiopian Agriculture: Ricardian Approach , 2007 .
[117] Dimitris Kanellopoulos,et al. Data Preprocessing for Supervised Leaning , 2007 .
[118] Omar Boussaïd,et al. Integration and dimensional modeling approaches for complex data warehousing , 2007, J. Glob. Optim..
[119] S. Bocchi,et al. Identification of different potential production areas for corn in Italy through multitemporal yield map analysis , 2007 .
[120] Chris L. S. Coryn. The Holy Trinity of Methodological Rigor: A Skeptical View. , 2007 .
[121] Chengqi Zhang,et al. The Evolution of KDD: towards Domain-Driven Data Mining , 2007, Int. J. Pattern Recognit. Artif. Intell..
[122] Cw Christian Günther,et al. Towards an evaluation framework for process mining algorithms , 2007 .
[123] N. Manouselis,et al. LOM application profile to describe training resources for agricultural & rural SMEs , 2007 .
[124] C. Field,et al. Global scale climate–crop yield relationships and the impacts of recent warming , 2007, Environmental Research Letters.
[125] M. Maliappis. Technological Aspects of Using Agricultural Ontologies , 2007 .
[126] Geoffrey Hellman. Structuralism , 2007, The Oxford Handbook of Philosophy of Mathematics and Logic.
[127] Roberto J. Bayardo,et al. Scaling up all pairs similarity search , 2007, WWW '07.
[128] Laurent Durieux,et al. A method for monitoring building construction in urban sprawl areas using object-based analysis of Spot 5 images and existing GIS data , 2008 .
[129] P. Prastacos,et al. Development of an open source-based spatial data infrastructure , 2008 .
[130] Michael H. Böhlen,et al. Visual Data Mining - Theory, Techniques and Tools for Visual Analytics , 2008, Visual Data Mining.
[131] Rudolf Kruse,et al. Visualization of Agriculture Data Using Self-Organizing Maps , 2008, SGAI Conf..
[132] Daniel A. Keim,et al. Visual Analytics: Scope and Challenges , 2008, Visual Data Mining.
[133] Lu Liu,et al. Mining Condensed and Lossless Association Rules by Pruning Redundancy , 2008, 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery.
[134] F Guarneri,et al. Digital image compression in dermatology: format comparison. , 2008, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.
[135] D. Stoyan,et al. Statistical Analysis and Modelling of Spatial Point Patterns , 2008 .
[136] R. Casa,et al. Analysis of spatial relationships between soil and crop variables in a durum wheat field using a multivariate geostatistical approach , 2008 .
[137] Steven J. Phillips. Transferability, sample selection bias and background data in presence‐only modelling: a response to Peterson et al. (2007) , 2008 .
[138] Michael F. Goodchild,et al. Towards a General Field model and its order in GIS , 2008, Int. J. Geogr. Inf. Sci..
[139] Matthew O. Ward,et al. Theoretical Foundations of Information Visualization , 2008, Information Visualization.
[140] Chen-Fu Chien,et al. Data mining to improve personnel selection and enhance human capital: A case study in high-technology industry , 2008, Expert Syst. Appl..
[141] Xiang Zhang,et al. CARE: Finding Local Linear Correlations in High Dimensional Data , 2008, 2008 IEEE 24th International Conference on Data Engineering.
[142] W. Schlenker,et al. Nonlinear temperature effects indicate severe damages to U.S. crop yields under climate change , 2009, Proceedings of the National Academy of Sciences.
[143] Bart Baesens. Data mining: new trends, applications and challenges , 2009 .
[144] N. Dunstan. Hierarchies Of Sustainability In A Catchment , 2009 .
[145] Yongliang Yang,et al. Target discovery from data mining approaches. , 2009, Drug discovery today.
[146] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[147] D. Pimentel. Energy inputs in food crop production in developing and developed nations. , 2009 .
[148] Thomas Leduc,et al. GDMS-R: A mixed SQL to manage raster and vector data , 2009 .
[149] Sumeet Dua,et al. Data Mining for Bioinformatics , 2012 .
[150] Kurt Hornik,et al. Open-source machine learning: R meets Weka , 2009, Comput. Stat..
[151] G. Ziervogel,et al. Using climate information for supporting climate change adaptation in water resource management in South Africa , 2010 .
[152] P. Revesz. Interpolation and Approximation , 2010 .
[153] Ig Ibert Bittencourt,et al. An ontology-based software framework to provide educational data mining , 2010, SAC '10.
[154] A. Ortmann,et al. International NGO Training and Research Centre , 2010 .
[155] Nicolás García-Pedrajas,et al. Scaling up Instance Selection Algorithms by Dividing-and-Conquering , 2010 .
[156] Murray Brand,et al. Analysis avoidance techniques of malicious software , 2010 .
[157] D. V. Gool. Wheat yield potential and land management constraints in the South West of Western Australia , 2011 .
[158] Wu Chuming Chen. Bioinformatics for Comparative Proteomics , 2011, Methods in Molecular Biology.
[159] T. S. Hasselbring,et al. Anchored Instruction: Why We Need It and How Technology Can Help , 2012 .
[160] Lili Luo. Value of the Research Methods Course: Voices from LIS Practitioners , 2012 .
[161] M. Farooqi. DATA MINING : AN OVERVIEW , 2012 .
[162] B. Tjan,et al. The Perception of a Face Is No More Than the Sum of Its Parts , 2012, Psychological science.
[163] อนิรุธ สืบสิงห์,et al. Data Mining Practical Machine Learning Tools and Techniques , 2014 .