Results 171 to 180 of about 1,088 (182)
Research on Personalized Search Based on ElasticSearch [PDF]
In the context of today’s big data era, with the rapid development of information technology in all walks of life, information data has exploded. People have been used to relying on the Internet to obtain effective information, but massive data is easy to cause information overload, how to quickly and efficiently obtain useful information for users has
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Elasticsearch Analyzer In Broad Match Advertising System [PDF]
The purpose of this study was to define the workings of broad match keyword features in the search for product advertisements and how the broad match keyword feature analysis works, as well as designing databases with application prototypes in the form of Application Programming Interface (API).
Febyana Chinta Utami+3 more
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Enhanced Security Using Elasticsearch and Machine Learning
2020The purpose of this paper is to highlight how can Elasticsearch be used to enhance the security of your applications and your cloud infrastructure by combining intrusion detection systems with machine learning techniques in order to detect possible attacks.
Ovidiu Negoita, Mihai Carabas
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Configuring Elasticsearch Watcher
2016In the previous chapter, you configured Graphite with Logstash to access time-based data and graphs to compare results. It’s also a good configuration for server admins to use to view and analyze the performance of services and applications.
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Getting Started with Elasticsearch
2016Now that we’ve installed Logstash, we will move forward and install and configure Elasticsearch. Before we do this, let me explain first a little bit more about Elasticsearch.
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Twitter Sentiment Analysis Using Elasticsearch, LOGSTASH And KIBANA
2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE), 2020In the era of technology, where for almost everything we are dependent on the internet, has been successful enough to dominate our social lives too. So, with excess usage of internet, creating huge log files containing hidden valuable information in it.
Divyesh Bhatnagar+2 more
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Building an IoT Data Hub with Elasticsearch, Logstash and Kibana
2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), 2017The goal of this publication is to describe the implementation of an Elastisearch, Logstash and Kibana (ELK) stack to process IoT data. Although, those tools were designed to be used mainly for handling large number of log data, they can be applied also to store, search and visualise other type of information - including IoT data.
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Elasticsearch and Carrot2-Based Log Analytics and Management
2016The log analytics and management mechanism is an implementation of Elasticsearch––a distributed full-text search engine for indexing the logs and Carrot2 clustering engine for clustering the logs which are combined together with our algorithm to manage and analyze the logs given to it as input.
Prasad Saindane+3 more
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Performance of elasticsearch in cloud environment with nGram and non-nGram indexing
2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), 2016The fact that technology have changed the lives of human beings cannot be denied. It has drastically reduced the effort needed to perform a particular task and has increased the productivity and efficiency. Computers especially have been playing a very important role in almost all fields in today's world.
Manjusha Pandey+2 more
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Review of Elasticsearch Performance Variating the Indexing Methods
2017In today’s world, data is increasing rapidly. Users mostly refer to internet for any information. Also a recent study shows that most of the users go to a search engine to refer to any other site also. So search has become an inseparable activity in internet. Elasticsearch is a java-based search engine that works efficiently in cloud environment.
Manjusha Pandey+2 more
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