RSECM: Robust Search Engine using Context-based Mining for Educational Big Data

Abstract: With an accelerating growth in the educational sector along with the aid of ICT and cloud-based services, there is a consistent rise of educational big data, where storage and processing become the prime matter of challenge. Although many recent attempts have used open source framework e.g. Hadoop for storage, still there are reported issues in sufficient security management and data analyzing problems. Hence, there is less applicability of mining techniques for upcoming search engine due to unstructured educational data. The proposed system introduces a technique called as RSECM i.e. Robust Search Engine using Context-based Modeling that presents a novel archival and search engine. RSECM generates its own massive stream of educational big data and performs the efficient search of data. Outcome exhibits RSECM outperforms SQL based approaches concerning faster retrieval of the dynamic user-defined query.

D. Pratiba and G. Shobha. “RSECM: Robust Search Engine using Context-based Mining for Educational Big Data”. International Journal of Advanced Computer Science and Applications (IJACSA) 7.12 (2016). http://dx.doi.org/10.14569/IJACSA.2016.071206

@article{Pratiba2016,
title = {RSECM: Robust Search Engine using Context-based Mining for Educational Big Data},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.071206},
url = {http://dx.doi.org/10.14569/IJACSA.2016.071206},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {12},
author = {D. Pratiba and G. Shobha}
}