[PDF] Top 20 A Bigdata Approach For Classification And Prediction Of Student Result Using R
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A Bigdata Approach For Classification And Prediction Of Student Result Using R
... assessment, classification of understudy into comparable sort, with the goal that understudies have comparable destinations, instructive foundation and so ... See full document
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A CLASSIFICATION AND PREDICTION OF STUDENT RESULT
... In bigdata information idea the conventional information mining calculations are meant Map Reduce calculations for running them on Hadoop clusters by deciphering their information examination rationale to the Map ... See full document
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A bigdata approach for Student result using mapreduce
... After data is available in the required format for data analytics algorithms, data analytics operations will be performed. The data analytics operations are performed for discovering meaningful information from data to ... See full document
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PREDICTION OF STUDENT RESULT USING DECISION TREE
... for prediction of students ...academic result, these needs analyzing data mining methods and classification ...Measuring Student result using classification technique such ... See full document
6
A Novel Hybrid Approach Of Adaboostm2 Algorithm And Differential Evolution For Prediction Of Student Performance
... AdaBoost algorithm, when compared likened to most other learning algorithms, is less susceptible to difficulty of overfitting than them and this is in light of the fact that boosting is very sensitive to noisy data and ... See full document
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Title: A Study on Asymmetric Key Cryptography Algorithms Authors: ASAITHAMBI.N Country: India View_pdf Title: EDM APPLICATIONS AND REPORT ANALYSIS - CASE STUDY Authors: M.Saranyakala Country: India View_pdf Title: Incremental Information Extraction Using Relational Database System & PTQL Authors: Prof. Dhande Mahesh, Ashwini Zankar, Sheetal Paithankar, Kanchan Naik, Shweta Mahale Country: India View_pdf
... are using the KDD and the data mining tools for extracting the knowledge this knowledge can be used for improving the quality of ...main approach of EDM is Discovery with models and Distillation of Data for ... See full document
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Prediction of Stock Market Using Financial News Analysis and Supervised Data Mining Technique
... and prediction is the process of identifying a set of common features and models that describe and distinguish data classes or ...business using models based on characteristics of the ...of ... See full document
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Prediction Of Performance And Probable Problems Of University Student Using Classification Techniques
... the student faces. Prediction of students‟ performance is to improve the condition of learning in various ...This prediction benefits the students to take steps in advance to avoid poor performance ... See full document
5
Datamining Application for the Prediction of Binary Classification Problems
... involve classification, aggregation, clustering etc. By using classification we can group the data based on a common ...in classification to achieve greatest ...expected result ... See full document
7
Student Performance Prediction for Education Loan System
... assessing student math proficiency is to use data that our system collects through its interactions with students to estimate their performance on an end-of-year high stakes state ...This result show that ... See full document
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Performance Analysis of Classification Algorithms for Prediction of Student Failure in College using Academic Data Processing
... Abstract— Student data sets give useful information about efficient educational ...knowledge. Student failure affects education quality. A data mining approach is applied to predict student ... See full document
5
Scalable Sentiment Classification for Bigdata Analysis Using Logistic Regression Classifier
... by using logistics Regression on the basis of parameter like accuarcy, throughput , accuracy disruption and processing ...the classification accuracy into true positive, true negative followed by false ... See full document
6
Prediction of Final Result and Placement of Students using Classification Algorithm
... the student is from commerce, zoology or chemistry background and his under-graduation and graduation percentage is around 60 then the chances of scoring first class at MCA exam is ... See full document
6
Student Performance Classification using Adap...
... designed student prediction model can be improved. This is done by using a data mining approach on the available ...by using the data mining approach is shown in Figure ... See full document
9
Wavelet Transform for Classification of EEG Signal using SVM and ANN
... in extracting information from signal by applying suitable method. A feature is basically a quantity that represents uniqueness between classes. In fact it is a numerical value characterizing a data or providing some ... See full document
9
Rule Based Approach for Prediction of Chronic Kidney Disease: A Comparative Study
... Various rule-based classification strategies have been presented for detection of the CKD into two classes as ckd or notckd. The rule generated by the JRip rule learner utilizes three attributes hemo, bgr and al ... See full document
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Classification of result analysis for recognition image using preceptron model & text using adaptive resonance theory 1 algorithmic approaches
... Image Pre-Processing is one of the important modules in our concept compare to Text data. Image pre-processing relates to the preparation of an Image for that an image keeps to store into the Neurons and use whenever ... See full document
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Analysis of Multi Disease & Prediction of Suitable Drug for Healthcare Application using Bigdata
... As the enterprises face major issues gathering large chunks of data, they found that the data cannot be processed using any of centralized architecture therefore shifting to distributed architecture. Hadoop is ... See full document
6
A Novel Leaf Classification Technique using GLCM and RBFNN
... this approach using Fuzzy logic elevates the performance in the output for Gray scale ...Correlation. Using these features, edge enhancement is ... See full document
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SENTIMENT ANALYSIS OF TWEETS USING SUPPORT VECTOR MACHINE
... Bholne Savita D. and Deipali Gore [5] have used Foreground and Background Latent Dirchlet Allocation (FB-LDA) model and Reason Candidate and Background Latent Dirchlet Allocation (RCB-LDA) model for the sentiment ... See full document
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