Indexing, Clustering, and Search Engine for Documents Utilizing Elasticsearch and Kibana-Reference-Cited by-同舟云学术

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Indexing, Clustering, and Search Engine for Documents Utilizing Elasticsearch and Kibana

Published:2022 Issue: Volume: Page:897-910
ISSN:2367-4512
Container-title:Mobile Computing and Sustainable Informatics
language:
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Author:

Walter-Tscharf Franz Frederik Walter Viktor

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-2069-1_62

Reference17 articles.

1. Bulk API: Elasticsearch Guide [7.16]. Elastic. https://www.elastic.co/guide/en/elasticsearch/reference/current/docs-bulk.html

2. Crontab Generator: Generate crontab syntax. https://crontab-generator.org/

3. Bai, J.: Feasibility analysis of big log data real time search based on Hbase and ElasticSearch. In: 2013 Ninth International Conference on Natural Computation (ICNC), pp. 1166–1170. IEEE (2013)

4. Baidu, Inc: Baidu, you will know. https://www.baidu.com/

5. Botev, C., Ameryahia, S., Shanmugasundaram, J.: Expressiveness and performance of full-text search languages. In: International Conference on Advances in Database Technology—EDBT. DBLP (2005)

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1. Data Preparation for Advanced Data Analysis on Elastic Stack;Studies in Computational Intelligence;2024

2. An Improved Indexing Technique for Tribal Art Retrieval System;2023 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2023-02-18

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