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.
Highlights
There is a revolutionary change in the educational system in the modern times, where ICT plays a crucial role right from primary to advance technical education [1]
When we conducted a thorough review, we found that there exists various industrial standards and tools for analyzing big data e.g. Hadoop, Hive, Pig, Cassandra, etc
Owing to the problems as mentioned above, existing data mining algorithms cannot be integrated over Hadoop and will thereby pose a challenge to generate a precise search of specific data in the cluster node
Summary
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. 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. 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
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