Data Mining in Agriculture (Springer Optimization and Its Applications)


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Baker, R. Data mining for education. International encyclopedia of education, 7 3 , Banks, D. Berretti, S. Intelligent systems technologies and applications. Springer International Publishing. Bhattacharyya, D. Network anomaly detection: A machine learning perspective. Bozdogan, H. Statistical data mining and knowledge discovery. Braspenning, P. Artificial neural networks: an introduction to ANN theory and practice Vol. Breiman, L.

Classification and regression trees. CRC press. Campilho, A. Champandard, A. AI game development: Synthetic creatures with learning and reactive behaviors.

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New Riders. Chandola, V. Anomaly detection: A survey. Cherkassky, V. Learning from data: concepts, theory, and methods. Chowdhury, D. Minimum error entropy classification. Diday, E. New approaches in classification and data analysis.

Bibliographic Information

Digby, B. It's a World Thing. El Fangary, L. In Frontier of Computer Science and Technology, Fourth International Conference on pp. Elder, J. Handbook of statistical analysis and data mining applications. Academic Press. Ellen, S. Slovin's Formula Sampling Techniques. Fagerlund, S. Fasina, F. Contribution of poultry production to household income: a case of Jos South Local Government in Nigeria. Gill, M. Soil moisture prediction using support vector machines.

Hall, M. Data mining: Practical machine learning tools and techniques. Kaufmann, Burlington. Han, J. Data Mining, Southeast Asia Edition. Data mining: concepts and techniques. Heise, H.


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The poultry market in Nigeria: market structures and potential for investment in the market. International Food and Agribusiness Management Review, 18, Postharvest biology and technology, 87, Statistics: methods and applications: a comprehensive reference for science, industry, and data mining. StatSoft, Inc.. Univ of California Press. In Understanding options for agricultural production pp. Springer Netherlands. Handbook of data mining and knowledge discovery.

Oxford University Press, Inc. Machine vision based quality evaluation of Iyokan orange fruit using neural networks. Computers and electronics in agriculture, 29 1 , Supervised machine learning: A review of classification techniques. Neighborhood environments: disparities in access to healthy foods in the US. American journal of preventive medicine, 36 1 , Machine learning.

Packt Publishing Ltd. An intelligent alarm for early detection of swine epidemics based on neural networks. Transactions of the ASAE, 44 1 , Neural recognition system for swine cough. Mathematics and Computers in Simulation, 56 4 , Data mining in agriculture Vol. Artificial neural networks for the modelling and fault diagnosis of technical processes. Lesson: Data mining, and knowledge discovery: An introduction. Simplifying decision trees.

Analysis of agriculture data using data mining techniques: application of big data | SpringerLink

International journal of man-machine studies, 27 3 , Analysing soil data using data mining classification techniques. Indian Journal of Science and Technology, 9 Data mining techniques and applications to agricultural yield data. Analysis of crop yield prediction using data mining techniques.

Data Science in Agriculture: Challenges and Opportunities

International Journal of Research in Engineering and Technology, 4 1 , International Journal of Computational Intelligence Research, 13 7 , Data mining with decision trees: theory and applications. World scientific. Sample size determination and power.


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  3. Data Mining in Agriculture (Record no. 68527).
  4. Journal of agricultural engineering research, 79 3 , IGI Global. Agricultural Systems, 46 3 , Introduction to data mining and its applications Vol. Introduction to data mining. Pearson Education India. Data mining: technologies, techniques, tools, and trends. Pattern and data analysis in healthcare settings. Data Warehousing and Knowledge Discovery. Data mining and statistics for decision making Vol.

    Chichester: Wiley. Using data mining techniques to predict industrial wine problem fermentations. Food Control, 18 12 , Data mining to estimate broiler mortality when exposed to heat wave. Scientia Agricola, 65 3 , Data warehousing and mining: Concepts, methodologies, tools, and applications: Concepts, methodologies, tools, and applications Vol. Encyclopedia of Business Analytics and optimization. Data Mining: Practical machine learning tools and techniques, 2, Revised Selected Papers Vol.

    Data Mining in Agriculture (Springer Optimization and Its Applications) Data Mining in Agriculture (Springer Optimization and Its Applications)
    Data Mining in Agriculture (Springer Optimization and Its Applications) Data Mining in Agriculture (Springer Optimization and Its Applications)
    Data Mining in Agriculture (Springer Optimization and Its Applications) Data Mining in Agriculture (Springer Optimization and Its Applications)
    Data Mining in Agriculture (Springer Optimization and Its Applications) Data Mining in Agriculture (Springer Optimization and Its Applications)
    Data Mining in Agriculture (Springer Optimization and Its Applications) Data Mining in Agriculture (Springer Optimization and Its Applications)
    Data Mining in Agriculture (Springer Optimization and Its Applications) Data Mining in Agriculture (Springer Optimization and Its Applications)
    Data Mining in Agriculture (Springer Optimization and Its Applications) Data Mining in Agriculture (Springer Optimization and Its Applications)

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