[PDF] Top 20 Optimum Crop Prediction using Data Mining and Machine Learning Techniques
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Optimum Crop Prediction using Data Mining and Machine Learning Techniques
... Training error is the error that you get when the training model is run on the dataset which was used to train the model that is the training dataset. Testing error arises when the training model is run on the datasets ... See full document
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Prediction Of Rainfall Using Machine Learning Techniques
... the crop seasons and predicts the rainfall for future years. The crop seasons are Rabi, Kharif and ...predicted using linear ...future prediction of crop ...which crop to harvest ... See full document
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Groundnut Crop Yield Prediction Using Machine Learning Techniques
... Yield prediction is a very important agricultural ...yield prediction was performed by considering farmer's experience on particular field and ...that data are available for some time back to the ... See full document
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Rainfall prediction using Machine Learning Techniques
... related data mining methods such as the K-Nearest Neighbor(KNN), Naïve Bayes, Decision Tree, Neural Networks, and Fuzzy Logic for the use of rainfall ...ensemble techniques to rainfall on daily ... See full document
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Exploring Support Vector Machines and Random Forests for the Prognostic Study of an Arboviral Disease
... of machine learning techniques for the detection of one of the Arboviral disease – ...nontrivial data mining process by using accessible computational ...documents, data, ... See full document
5
Agro Genius: Crop Prediction using Machine Learning
... implement crop prediction using machine learning techniques in several ...Different Machine Learning algorithms were used for ...past data like year, area of ... See full document
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Stock data prediction using predictive data mining techniques
... a machine learning algorithm used to find relevant and important features for a given dataset ...of machine learning algorithms and most importantly, decrease in accuracy yielded by the ... See full document
7
Cardiovascular Disease Prediction Using Data Mining Techniques: A Review
... different techniques to predict the prevalence of cardiovascular diseases in general and heart disease in particular from time to time by implementing variety of ...by using computer based predictive tool ... See full document
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Customer buying Prediction and Recommendation on Transactional dataset: an Overview
... use machine-learning models to analyze customers’ personal and behavioral data to give organization a competitive advantage by increasing customer retention ...different ... See full document
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Crop Yield Prediction Using Machine Learning
... on Crop Yield Prediction utilizing Data Mining Focusing on Groundnut Crop and Naive Bayes ...information mining applications in horticulture has been depicted and examined, at ... See full document
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Prediction of Heart Diseases Using Data Mining and Machine Learning Algorithms and Tools
... Data mining is the most popular knowledge extraction method for knowledge discovery ...(KDD). Machine learning is used to enable a program to analyze data, understand correlations and ... See full document
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Index Terms- Big data analytics, Machine Learning, Healthcare, Disease Detection, Medical Data Analysis.
... big data is extracted in the medical field and the new concept is introduced in the paper ...the machine learning based disease prediction from medical field and uses the big data ... See full document
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Agricultural Data Modeling and Yield Forecasting using Data Mining Techniques
... analyzed crop yield prediction by using Support Vector Machine (SVM), Multiple Linear Regression (MLR), AdaBoost and Modified Non Linear Regression for the regions in ...Boro. Prediction ... See full document
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Heart Disease Prediction System Using Data Mining Techniques
... noisy data, inconsistencies, and outliers presented a challenge in the data mining ...and machine learning approaches should be applied to control the quality of the ...of data ... See full document
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Title: STUDENT ACADEMIC PERFORMANCE USING DATA MINING TECHNIQUES
... Educational Data Mining (EDM) has resulted from a fusion of many different areas, some which include Machine Learning, Cognitive Science and Psychometrics? The main task in EDM is to construct ... See full document
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International Journal of Computer Science and Mobile Computing
... Abstract: Data mining is defined as the process in which useful information is extracted from the raw ...of data is present and analyzing whole data is very difficult as well as it consumes a ... See full document
6
Classification of Complex UCI Datasets Using Machine Learning Algorithms Using Hadoop
... computers using a simple programming ...of data in a distributed ...the data from the input location, invokes the mapper and reducer application classes when needed in a concurrent and distributed ... See full document
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Genome mining using machine learning techniques
... studies Machine Learning (ML) techniques have been applied since they are capable to deal with the high dimensionality problem in an efficient ...by machine learning approaches ...for ... See full document
9
Rainfall Prediction using Data Mining Techniques
... parameters using statistical ...When using trainbr , it is important to let the algorithm run until the effective number of parameters has ...the data set is small and you are training function ... See full document
5
A Survey on Machine learning assisted Big Data Analysis for Health Care Domain
... Clinic Data with the help of Mapper and Reducer Function pseudo code and the work flow of map reduce ...monthly-based data including student ID, basic clinic service fee, medicine fee and special medical ... See full document
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