Indexing strategies of MapReduce for Information Retrieval in Big Data
In Information Retrieval (IR), the efficient strategy of indexing large dataset and terabyte-scale data is still an issue because of information overload as the result of increasing the knowledge, increasing the number of different media, increasing the number of platforms, and increasing the intero...
Main Authors: | Farid, Mazen, Latip, Rohaya, Hussin, Masnida, Al-Mekhlafi, Mohammed Abdulkarem |
---|---|
Format: | Article |
Language: | English |
Published: |
The World Academy of Research in Science and Engineering
2016
|
Subjects: | |
Online Access: | http://psasir.upm.edu.my/id/eprint/54548/1/Indexing%20strategies%20of%20MapReduce%20for%20Information%20Retrieval%20in%20Big%20Data.pdf |
Similar Items
-
Power-Law Distributed Graph Generation With MapReduce
by: Renzo Angles, et al.
Published: (2021-01-01) -
Indexing strategies of MapReduce for information retrieval in big data
by: Ramadhan, Mazen Farid Ebrahim
Published: (2016) -
Modeling the Performance of MapReduce Applications for the Cloud
by: Iván Carrera, et al.
Published: (2015-11-01) -
MuSe: a multi-level storage scheme for big RDF data using MapReduce
by: Tanvi Chawla, et al.
Published: (2021-10-01) -
Acerca de la aplicación de MapReduce + Hadoop en el tratamiento de Big Data
by: Antonio Hernández Dominguez, et al.
Published: (2015-07-01)