Authors : Sayar Ahmad Kuchy, Syed K. Ahmed Khadri, Manoj Mukherjee, Debabrata Samanta and Dac-Nhuong Le
Abstract: Our focus here is to elaborate the functionality of the elasticsearch. To determine how it is having an edge over the previous demanding and very successful search engines like Lucene and solr search. A search engine which provides an advanced edge over the existing search engines by way of providing multiple features like analytical reporting and logging distribution, etc. in addition of the search results. Elasticsearch uses the regression mathematical model through which it is getting an edge over the rest of the search engines. Elasticsearch is having a great future in hand as it provides multi-dimensional approach in summarizing and analysing of huge data components. In this research study, we are trying to focus on the possibility of extending the feature of self-learning capability of elasticsearch engine.
Sayar Ahmad Kuchy, Syed K. Ahmed Khadri, Manoj Mukherjee, Debabrata Samanta and Dac-Nhuong Le, 2017. An Aggregation Approach Based on Elasticsearch. Journal of Engineering and Applied Sciences, 12: 9451-9454.