Name
Title | ||
|---|---|---|
Big data classification using heterogeneous ensemble classifiers in Apache Spark based on MapReduce paradigm |
Abstract | ||
|---|---|---|
•Distributed Heterogeneous Ensemble is designed for big data classification.•Classifiers are pruned from the ensemble to increase the diversity.•A Spark version of DHBoost is presented based on MapReduce programming paradigm.•DHBoost outperforms the state-of-the-art ensemble classifiers in the Spark library. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.eswa.2021.115369 | Expert Systems with Applications |
Keywords | DocType | Volume |
Ensemble classifier,Boosting,MapReduce,Big data,Apache Spark,Apache Hadoop | Journal | 183 |
ISSN | Citations | PageRank |
0957-4174 | 1 | 0.35 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hamid Reza Kadkhodaei | 1 | 1 | 0.35 |
| Amir-Masoud Eftekhari-Moghadam | 2 | 1 | 0.35 |
| Mehdi Dehghan | 3 | 3022 | 324.48 |