A Study on MapReduce – Application and challenges

  • Unique Paper ID: 200139
  • Volume: 12
  • Issue: 12
  • PageNo: 1320-1323
  • Abstract:
  • MapReduce has Its own Classification Association Rules, Functional Point i9s a method used (CARs). There ars some completion of the rules of mining, in that distributed rule trimming was mainly popular. The technique is used in handling large datasets if we have only few set of hardware. Artificial Neural Network (ANN) was main and most popular used in category of sentiment. There are Comparisons that are made between - Back propagation Neural Network (BPN), Probabilistic Neural Network (PNN) and Homogeneous Ensemble of PNN (HEN). The method of Vote is designed to use the characteristics of three classifiers which is: the Naive Bayes (NB), Support Vector Machine (SVM) and the Bagging. There are other techniques available for sentiment and parameter optimization for individual classifiers. We mainly implement a three-step methodology.MapReduce has Its own Classification Association Rules, Functional Point i9s a method used (CARs). There ars some completion of the rules of mining, in that distributed rule trimming was mainly popular. The technique is used in handling large datasets if we have only few set of hardware. Artificial Neural Network (ANN) was main and most popular used in category of sentiment. There are Comparisons that are made between - Back propagation Neural Network (BPN), Probabilistic Neural Network (PNN) and Homogeneous Ensemble of PNN (HEN). The method of Vote is designed to use the characteristics of three classifiers which is: the Naive Bayes (NB), Support Vector Machine (SVM) and the Bagging. There are other techniques available for sentiment and parameter optimization for individual classifiers. We mainly implement a three-step methodology.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{200139,
        author = {Dr Manju},
        title = {A Study on MapReduce – Application and challenges},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {1320-1323},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=200139},
        abstract = {MapReduce has Its own Classification Association Rules, Functional Point i9s a method used (CARs). There ars some completion of the rules of mining, in that distributed rule trimming was mainly popular. The technique is used in handling large datasets if we have only few set of hardware. Artificial Neural Network (ANN) was main and most popular used in category of sentiment. There are Comparisons that are made between - Back propagation Neural Network (BPN), Probabilistic Neural Network (PNN) and Homogeneous Ensemble of PNN (HEN). The method of Vote is designed to use the characteristics of three classifiers which is: the Naive Bayes (NB), Support Vector Machine (SVM) and the Bagging. There are other techniques available for sentiment and parameter optimization for individual classifiers. We mainly implement a three-step methodology.MapReduce has Its own Classification Association Rules, Functional Point i9s a method used (CARs). There ars some completion of the rules of mining, in that distributed rule trimming was mainly popular. The technique is used in handling large datasets if we have only few set of hardware. Artificial Neural Network (ANN) was main and most popular used in category of sentiment. There are Comparisons that are made between - Back propagation Neural Network (BPN), Probabilistic Neural Network (PNN) and Homogeneous Ensemble of PNN (HEN). The method of Vote is designed to use the characteristics of three classifiers which is: the Naive Bayes (NB), Support Vector Machine (SVM) and the Bagging. There are other techniques available for sentiment and parameter optimization for individual classifiers. We mainly implement a three-step methodology.},
        keywords = {Genetic Algorithm, ANN, Synonyms-Based Term (SBT), Stemming Algorithm.},
        month = {May},
        }

Cite This Article

Manju, D. (2026). A Study on MapReduce – Application and challenges. International Journal of Innovative Research in Technology (IJIRT), 12(12), 1320–1323.

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