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Classification of large datasets (Example)

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 Comparing Data Mining Algorithms Name: University: Proffesor: Abstract The amount of data in the world has increased complexity in matters dealing with data storage and manipulation. Consider the examples of firewalls how do they determine the potential threats from all the data in the world. How do online marketers follow the relevant data relating to their content only while optimizing on resources? These are some of the problems that necessitated the development of techniques and algorithms to sift through the data returning only the data with specific characteristics. Such algorithms have been made to work based on specific instructions or based on their experience with real data. The algorithms apply classification as a data mining technique where entities which suit a predefined condition are labeled for identification. This paper analyzes the functionality of different classification algorithms in different environments in an attempt to determine the best-suited algorithms for specific Balagatabi H. (2015). Comparison of Decision Tree Methods in Classification of Researcher’s Cognitive styles in Academic Environment. Jurnal Teknologi  74(1). dx.doi.org Pesonen E. (1997). Is Neural Network better than Statistical methods in diagnosis of Acute Appendicitis? Medical Informatics Europe. Rajalakshmi A. & Sivaranjani K. (2015). A Comparative Study on Student Performance Prediction.International Conference On Engineering Trends And Science & Humanities. Ripley B. D. (1994). Neural Networks and Related Methods for Classification. Journal of the Royal Statistical Society B 56(409-459). Undavia J. Dolia P. & Patel A. (2016). Customized Prediction Model to Predict Post- Graduation Course for Graduating Students Using Decision Tree Classifier. Indian Journal Of Science And Technology  9(12). dx.doi.org Willett T. (2002). Increasing persistence with an experimental intervention directed by data mining and statistical predictive models. Pasadena CAIR conference. Zhao Y. & Zhang Y. (2008). Comparison of decision tree methods for finding active objects.Advances In Space Research  41(12) 1955-1959. http://dx.doi.org/10.1016/j.asr.2007.07.020 [...]

Order Description:

Classification of large datasets , finding the important variable and variable ranking. Compare and analyse the Machine learning algorithms and which algorithm have high prediction when compared with algorithms like ID3,Naive Bayes,j48 algorithm ,Random Forest.

Subject Area: Computer Science

Document Type: Term paper

This project has already been completed by one of the Studybay experts. The client rated this project:

Project's rating is 5/5

Price $70

Words 1925

Pages 7

Completed in 25 days

Expert Carkim G

Client Review

good writer

Positive
06.13.2016

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