| Autor: |
Patil Parikshit, Mhatre Hrishikesh, Patil Ruchita, Shinde Apurva, Joshi Bharti |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
ITM Web of Conferences, Vol 32, p 03031 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2271-2097 |
| DOI: |
10.1051/itmconf/20203203031 |
| Popis: |
We are developing an idea through this paper which would give any question the perfect and best answer. Existing system is not capable of classifying according to different patterns. This compromises with efficiency of the system and quality of final result. In this project Parallel Clustering optimization method is formed by amalgamation of Map-Reduce with Ant Bee Colony Optimization Technique for improving the efficiency and success of the data science method. In addition, related running services on a Hadoop network are predicted with the help of Map Reduce algorithm. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
