Relevant bibliographies by topics / Lucene

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Lucene'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 April 2022

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Journal articles on the topic "Lucene"

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Nath, Nilanjana Dev, Shreekant Jha, Janki Meena M, and Syedibrahim S.p. "A SURVEY PAPER ON ELASTIC SEARCH SIMILARITY ALGORITHM." Asian Journal of Pharmaceutical and Clinical Research 10, no. 13 (April 1, 2017): 361. http://dx.doi.org/10.22159/ajpcr.2017.v10s1.19757.

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Elasticsearch is a web search tool in view of Lucene. Apache Lucene is a free and open-source data retrieval programming library. Versatile Search gives a conveyed, multitenant-fit full-content web search tool with a HTTP web interface and pattern free JSON archives. It is created in Java and has been released as open source under the terms of the Apache License. Elasticsearch can be utilized to pursuit a wide range of records. It gives adaptable hunt, has close continuous pursuit, and backings multitenancy. It is appropriated, which implies that records can be partitioned into shards and every shard can have zero or more duplicates. Every hub has one or more shards, and goes about as a facilitator to delegate operations to the right shard(s). Elasticsearch is like a wrapper on top of Lucene. In this paper a detailed description of how lucene’s scoring algorithm works and how elasticsearch uses it as “similarity algorithm”
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Balipa, Mamatha, and Balasubramani R. "Search Engine using Apache Lucene." International Journal of Computer Applications 127, no. 9 (October 15, 2015): 27–30. http://dx.doi.org/10.5120/ijca2015906476.

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Vobič, Stašo. "Konferenca Lucene/Solr Revolution 2013." Organizacija znanja 18, no. 1-4 (2013): 42–44. http://dx.doi.org/10.3359/oz1314042.

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Xu, Chun Feng, and Hong Hua Xu. "Full-Text Search Engine Technology Research Based on Lucene." Advanced Materials Research 952 (May 2014): 355–58. http://dx.doi.org/10.4028/www.scientific.net/amr.952.355.

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As an important branch of modern information retrieval technology, full-text search is not only an important tool for dealing with unstructured data, but also one of the mainstream technology of search engines .This paper starts from studying the working principles and process of search engine model in deep and discuss Lucene's architecture with previously knowledge. The main emphasis is placed on the problem of some basic algorithms of Chinese word segmentation and Relevance Ranking. Finally, we set up a system based on Lucene of full-text retrieval by applying these technologies.
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Xu, Li Xin, Xiao Lin Fu, and Chun Hua Zhang. "Research on Full-Text Retrieval Based on Lucene in Enterprise Content Management System." Applied Mechanics and Materials 644-650 (September 2014): 1950–53. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.1950.

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This paper studied Lucene search engine technology in enterprise content management system and make it effectively expanded. It implemented four function modules in the architecture of full-text retrieval based on Lucene: Text analysis module, index module, query module and store module. The intelligent enterprise content management system is reflected in a perfect combination of intellectual technology which includes data retrieval and the modern open source frameworks. It intensified contents processing analyzing functions.
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Ding, Guo Qiang, and Min Lin. "Research the Key Technologies of the Mongolian Full-Text Retrieval Based on Lucene." Applied Mechanics and Materials 347-350 (August 2013): 2185–90. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.2185.

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Under the premise of in-depth understanding of Lucene full-text retrieval technology, this paper will apply it to the Mongolian text search. First, several key issues are proposed which are need to be addressed in achieving the Mongolian text search technology, and give the corresponding solutions to achieve the Mongolian full-text retrieval in Lucene. Second, this paper provides a fast, accurate and comprehensive Mongolian information full-text search service, played a key role in promoting the development of the Mongolian search engine.
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Bansode, Monika. "A survey on Content Based Image Retrieval in Cloud Environment with Privacy Preservation & Copy Deterrence." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (August 31, 2021): 2745–49. http://dx.doi.org/10.22214/ijraset.2021.37852.

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Abstract: Importance of images in day to day life increased tremendously. Therefore Content Based Image Retrieval studied extensively. Cloud computing offers on demand services to cloud user therefore many organizations prefer to use cloud for data storage. To protect images with sensitive or private information needs to be encrypted before being outsourced to cloud. However, this causes difficulties in image retrieval and management. The purpose of this study is to provide privacy preservation and copy deterrence Content Based Image Retrieval method using Lucene Indexing. Keywords: CBIR, Lucene Indexing, Copy Deterrence.
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A T, Prof Mulik, and Komal Londhe. "Quick Business Information Retrieval using Dot Lucene." IARJSET 4, no. 4 (January 27, 2017): 114–15. http://dx.doi.org/10.17148/iarjset/nciarcse.2017.32.

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Milosavljević, Branko, Danijela Boberić, and Dušan Surla. "Retrieval of bibliographic records using Apache Lucene." Electronic Library 28, no. 4 (August 10, 2010): 525–39. http://dx.doi.org/10.1108/02640471011065355.

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Kammerer, Th, J. Hauptmann, P. Mandl, A. Bühlmeier, and R. Baumgärtner. "Katalogsuche in Webshops auf Basis von Lucene." PIK - Praxis der Informationsverarbeitung und Kommunikation 30, no. 1 (March 2007): 52–59. http://dx.doi.org/10.1515/piko.2007.52.

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Dissertations / Theses on the topic "Lucene"

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Whissel, Jhon F. "Information Retrieval Using Lucene and WordNet." University of Akron / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=akron1253659613.

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Addagada, Sridevi. "Indexing and Searching Document Collections using Lucene." ScholarWorks@UNO, 2007. http://scholarworks.uno.edu/td/1070.

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The amount of information available to a person is growing day by day; hence retrieving the correct information in a timely manner plays a very important role. This thesis talks about indexing document collections and fetching the right information with the help of a database. The primary role of a database is to store the additional information which may be or may not be available in the document collection by itself. The indexing of document collection is performed by Lucene, while the search application is strongly integrated with a database. In this thesis a highly efficient, scalable, customized search tool is built using Lucene. The search tool is capable of indexing and searching databases, PDF documents, word documents and text files.
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Pettersson, Fredrik, and Niklas Pettersson. "Implementing an enterprise search platform using Lucene.NET." Thesis, Linköpings universitet, Interaktiva och kognitiva system, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-88717.

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This master’s thesis, conducted at Sectra Medical Systems AB, investigates the feasibility of integrating a search platform, built on modern search technology, into the complex architecture of existing products. This was done through the implementation and integration of a search platform prototype, called Sectra Enterprise Search. It was built upon the search engine library Lucene.NET, written in C# for the Microsoft .NET Framework. Lucene.NET originates from the Java library Lucene, which is highly regarded and widely used for similar purposes. During the development process a lot of requirements for the search platform were identified, including high availability, scalability and maintainability. Besides full text search for information in a variety of data sources, desirable features include autocompletion and highlighting. Sectra Enterprise Search was successfully integrated within the architecture of existing products. The architecture of the prototype consists of multiple layers, with the search engine functionality at the very bottom and a web service handling all incoming request at the top. To sum up, integrating a search platform based on modern search technology into the architecture of existing products infers full control of deployment, users searching in a more intuitive manner and reasonable search response times.
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Badiali, Gabriele. "Aspetti prestazionali di un motore di ricerca basato su Lucene." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2010. http://amslaurea.unibo.it/1613/.

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Viana, Hugo Henrique Amorim. "Automatic information retrieval through text-mining." Master's thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/11308.

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The dissertation presented for obtaining the Master’s Degree in Electrical Engineering and Computer Science, at Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia
Nowadays, around a huge amount of firms in the European Union catalogued as Small and Medium Enterprises (SMEs), employ almost a great portion of the active workforce in Europe. Nonetheless, SMEs cannot afford implementing neither methods nor tools to systematically adapt innovation as a part of their business process. Innovation is the engine to be competitive in the globalized environment, especially in the current socio-economic situation. This thesis provides a platform that when integrated with ExtremeFactories(EF) project, aids SMEs to become more competitive by means of monitoring schedule functionality. In this thesis a text-mining platform that possesses the ability to schedule a gathering information through keywords is presented. In order to develop the platform, several choices concerning the implementation have been made, in the sense that one of them requires particular emphasis is the framework, Apache Lucene Core 2 by supplying an efficient text-mining tool and it is highly used for the purpose of the thesis.
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Venkatachalam, Logambigai. "Scalability of Stepping Stones and Pathways." Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/32326.

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Information Retrieval (IR) plays a key role in serving large communities of users who are in need of relevant answers for their search queries. IR encompasses various search models to address different requirements and has introduced a variety of supporting tools to improve effectiveness and efficiency. â Searchâ is the key focus of IR. The classic search methodology takes an input query, processes it, and returns the result as a ranked list of documents. However, this approach is not the most effective method to support the task of finding document associations (relationships between concepts or queries) both for direct or indirect relationships. The Stepping Stones and Pathways (SSP) retrieval methodology supports retrieval of ranked chains of documents that support valid relationships between any two given concepts. SSP has many potential practical and research applications, which are in need of a tool to find connections between two concepts. The early SSP â proof-of-conceptâ implementation could handle only 6000 documents. However, commercial search applications will have to deal with millions of documents. Hence, addressing the scalability limitation becomes extremely important in the current SSP implementation in order to overcome the limitations on handling large datasets. Research on various commercial search applications and their scalability indicates that the Lucene search tool kit is widely used due to its support for scalability, performance, and extensibility features. Many web-based and desktop applications have used this search tool kit to great success, including Wikipedia search, job search sites, digital libraries, e-commerce sites, and the Eclipse Integrated Development Environment (IDE). The goal of this research is to re-implement SSP in a scalable way, so that it can work for larger datasets and also can be deployed commercially. This work explains the approach adopted for re-implementation focusing on scalable indexing, searching components, new ways to process citations (references), a new approach for query expansion, document clustering, and document similarity calculation. The experiments performed to test the factors such as runtime and storage proved that the system can be scaled up to handle up to millions of documents.
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Kakkireni, Nithin Kumar. "Beach Museum Web Application." Kansas State University, 2018. http://hdl.handle.net/2097/38797.

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Master of Science
Department of Computer Science
Daniel Andresen
This project involves in developing a responsive web application for Beach Museum at Manhattan, Kansas. Application is built on development boxes using Amazon web services. Project is built on MVC architecture that helps user to search images, create their own collection from the images and include an admin module. Migrating the current existing SQL database to couchDB for better performance of the available data. Integrated Apache Lucene to support text search in the couch database writing different indexes to retrieve the results. Implementing core functionalities like basic search, advanced search, filter objects with respective to artist, decade, object type and relevance using different indexes and Mango queries in the couchDB. Search Results are further chunked and displayed to the user. Web storage API’s were used to provide the functionality for a user to create their own collection (set of Images). Built an Admin module to perform CRUD operations the database. Admin module involves in creating exhibitions, adding/editing works and artists in the couch DB.
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Pirazzini, Lorenzo. "Sviluppo di un framework per la gestione di documenti multimediali." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016.

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Questo lavoro di tesi si propone di realizzare un sistema in grado non solo di gestire la similarità tra media di stesso tipo, in modo tale da essere al pari per potenzialità in catalogazione e ricerca dei sistemi esistenti, ma di introdurre anche il concetto di similarità tra documenti, i quali contengono media di diverso tipo. Anche se esistono già DBMS in grado di gestire tipi di media complessi, nessuno ha un modello in grado di gestire la compresenza di più tipi di dato efficientemente. Per realizzare un sistema multimediale che sia in grado di gestire non solo la similarità tra media compatibili per tipo ma in generale la ricerca tra documenti si è deciso di utilizzare sistemi per media specifici già esistenti e di integrarli in modo da farli cooperare. A tale proposito si è deciso inizialmente di creare un sistema in grado di gestire documenti che possano contenere inizialmente parti testuali, immagini, video e serie temporali. E’ chiaro intuire come le differenze tra i singoli sistemi (e tra le singole tipologie di dati) rendano quasi impossibile il confronto tra media di tipo diverso esaminandone solamente il contenuto. Per questo un sistema multimediale come quello proposto non potrà effettuare ricerca per contenuto tra media differenti (a parte tra immagini e video in cui può essere possibile confrontare l’immagine con gli screenshot che compongono un video) ma si baserà principalmente sul confronto semantico tra media di tipo diverso e lo combinerà invece con ricerche per metadati e contenuto tra media dello stesso tipo. In questa tesi verranno analizzate le tecnologie utilizzate, le modifiche apportate ai framework esistenti e le novità introdotte per realizzare il sistema generale e in seguito verrà proposta la realizzazione due applicazioni su casi reali per dimostrare l’efficacia di tale sistema.
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Nguyen, Qui V. "Enhancing a Web Crawler with Arabic Search." Thesis, Monterey, California: Naval Postgraduate School, 2012.

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Many advantages of the Internetâ ease of access, limited regulation, vast potential audience, and fast flow of informationâ have turned it into the most popular way to communicate and exchange ideas. Criminal and terrorist groups also use these advantages to turn the Internet into their new play/battle fields to conduct their illegal/terror activities. There are millions of Web sites in different languages on the Internet, but the lack of foreign language search engines makes it impossible to analyze foreign language Web sites efficiently. This thesis will enhance an open source Web crawler with Arabic search capability, thus improving an existing social networking tool to perform page correlation and analysis of Arabic Web sites. A social networking tool with Arabic search capabilities could become a valuable tool for the intelligence community. Its page correlation and analysis results could be used to collect open source intelligence and build a network of Web sites that are related to terrorist or criminal activities.
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Kozee, Troy. "Simplifying Q&A Systems with Topic Modelling." University of Akron / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=akron1514592530510281.

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Books on the topic "Lucene"

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Erik, Hatcher, Gospodnetić Otis, and Gospodnetić Otis, eds. Lucene in action. 2nd ed. Greenwich: Manning, 2010.

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Erik, Hatcher, ed. Lucene in Action. Greenwich, CT: Manning, 2004.

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Sharma, Atri. Practical Apache Lucene 8. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6345-7.

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Building search applications: Lucene, LingPipe, and Gate. Oakton, VA: Mustru Pub., 2008.

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Carnell, John. Professional Struts applications: Building Web sites with Struts, ObjectRelationalBridge, Lucene, and Velocity. [Berkeley, CA]: Apress, 2003.

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Carnell, John, Jeff Linwood, and Maciej Zawadzki. Professional Struts Applications: Building Web Sites with Struts, ObjectRelationalBridge, Lucene, and Velocity. Berkeley, CA: Apress, 2003. http://dx.doi.org/10.1007/978-1-4302-1122-8.

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Kuc, Bolesław Rafał. Apache Solr 3.1 cookbook. Birmingham, England: Packt Publishing, 2011.

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Mathias, Steinmann, Spring Kathrin, Spring MIchael, and Stadelmann Jürg 1958-, eds. Discover Lucerne. 2nd ed. Zürich: Werd Verlag, 2008.

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Gatsi lucere. Maputo: Instituto Camões, 2005.

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Lucena, Humberto. Humberto Lucena. Brasília: Senado Federal, 2006.

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Book chapters on the topic "Lucene"

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Sharma, Atri. "Hola, Lucene!" In Practical Apache Lucene 8, 1–18. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6345-7_1.

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Sharma, Atri. "Your First Lucene Patch." In Practical Apache Lucene 8, 91–98. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6345-7_8.

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Sharma, Atri. "Hello World: The Lucene Way." In Practical Apache Lucene 8, 19–37. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6345-7_2.

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Sharma, Atri. "Core Search Fundamentals." In Practical Apache Lucene 8, 39–51. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6345-7_3.

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Sharma, Atri. "Spatial Indexing." In Practical Apache Lucene 8, 53–61. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6345-7_4.

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Sharma, Atri. "Location-Aware Search Engines." In Practical Apache Lucene 8, 63–72. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6345-7_5.

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Sharma, Atri. "Introducing Machine Learning with Apache Mahout." In Practical Apache Lucene 8, 73–84. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6345-7_6.

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Sharma, Atri. "Improving Lucene’s Performance." In Practical Apache Lucene 8, 85–90. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6345-7_7.

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Entrup, Bastian. "(German) Language Processing for Lucene." In Natural Language Processing and Information Systems, 390–94. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19581-0_35.

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Linwood, Jeff, and Dave Minter. "Integrating the Lucene Search Engine." In Building Portals with the Java Portlet API, 255–80. Berkeley, CA: Apress, 2004. http://dx.doi.org/10.1007/978-1-4302-0754-2_10.

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Conference papers on the topic "Lucene"

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Lux, Mathias, and Savvas A. Chatzichristofis. "Lire: lucene image retrieval." In Proceeding of the 16th ACM international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1459359.1459577.

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Kim, Kwang-hyok, Myong-ho Cho, Chol-ho Ryang, Ju-song Im, Song-yong Cho, and Yong-jun Han. "Translation Memory Retrieval Using Lucene." In International Conference Recent Advances in Natural Language Processing. INCOMA Ltd. Shoumen, BULGARIA, 2021. http://dx.doi.org/10.26615/978-954-452-072-4_078.

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Banda, Juan M., and Rafal A. Angryk. "Scalable solar image Retrieval with Lucene." In 2014 IEEE International Conference on Big Data (Big Data). IEEE, 2014. http://dx.doi.org/10.1109/bigdata.2014.7004399.

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Shivaprasad, P. S., and H. D. Kallinatha. "A free formal search using lucene." In 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS). IEEE, 2017. http://dx.doi.org/10.1109/icecds.2017.8389827.

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Zhou, Ning, JiaXin Wu, ShaoLong Zhang, Hongqin Chen, and XiangRong Zhang. "Mining Weighted Association Rules with Lucene Index." In 2007 International Conference on Wireless Communications, Networking and Mobile Computing. IEEE, 2007. http://dx.doi.org/10.1109/wicom.2007.914.

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Jianxia Chen and Ri Huang. "A price comparison system based on Lucene." In 2013 8th International Conference on Computer Science & Education (ICCSE). IEEE, 2013. http://dx.doi.org/10.1109/iccse.2013.6553894.

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Hirsch, Laurence, Robin Hirsch, and Masoud Saeedi. "Evolving Lucene search queries for text classification." In the 9th annual conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1276958.1277279.

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Wan, Jian, and Shengyi Pan. "Performance Evaluation of Compressed Inverted Index in Lucene." In 2009 International Conference on Research Challenges in Computer Science (ICRCCS). IEEE, 2009. http://dx.doi.org/10.1109/icrccs.2009.53.

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Zhou, Ya, Xinqiang Wu, and Ruyi Wang. "A semantic similarity retrieval model based on Lucene." In 2014 5th IEEE International Conference on Software Engineering and Service Science (ICSESS). IEEE, 2014. http://dx.doi.org/10.1109/icsess.2014.6933700.

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He, Gang, Yijian Xiao, Decheng Yu, and Xiaochun Wu. "Enterprise Network Status Analysis Using Hadoop and Lucene." In 2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC). IEEE, 2015. http://dx.doi.org/10.1109/ihmsc.2015.118.

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Reports on the topic "Lucene"

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Morris, Kristen D. Lucent: Lightweight Waterproof Jacket. Ames: Iowa State University, Digital Repository, November 2016. http://dx.doi.org/10.31274/itaa_proceedings-180814-1620.

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Morris, Kristen D. Lucent Two: A Breathable Hooded Rain Jacket. Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/itaa_proceedings-180814-232.

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McDonough, M., and E. W. Mountjoy. Geology, Lucerne [83d/15 West - Half] map area, British Columbia. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1990. http://dx.doi.org/10.4095/128147.

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Dechesne, R. G., and E. W. Mountjoy. Geology of the Lucerne East - Half map area, Rocky Mountain Main Ranges, Alberta and British Columbia. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1990. http://dx.doi.org/10.4095/131344.

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Biddle, Jeff, and Daniel Hamermesh. Beauty, Productivity and Discrimination: Lawyers' Looks and Lucre. Cambridge, MA: National Bureau of Economic Research, November 1995. http://dx.doi.org/10.3386/w5366.

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McNeil, Jimmy D. A Cultural Resources Survey of the Lucile Acuff Permit Request Area, Haywood County, Tennessee: A Negative Finding Report. Fort Belvoir, VA: Defense Technical Information Center, January 1990. http://dx.doi.org/10.21236/ada263107.

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Vázquez Sande, P., P. Pineda-Martínez, and T. Fernández Lombao. Interactividad en las salas de prensa online de los Parlamentos autonómicos españoles: luces y sombras. Revista Latina de Comunicación Social, November 2017. http://dx.doi.org/10.4185/rlcs-2017-1227.

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Barral Verna, Ángeles, Ana Inés Basco, and Paula Garnero. Entre luces y eclipses: La opinión de los latinoamericanos sobre democracia, instituciones e integración regional. Inter-American Development Bank, April 2020. http://dx.doi.org/10.18235/0002309.

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Meisel-Roca, Adolfo. ¿Situado o contrabando? : la base económica de Cartagena de Indias a fines del Siglo de las Luces. Bogotá, Colombia: Banco de la República, December 2003. http://dx.doi.org/10.32468/chee.11.

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Wells, S. G. A synthesis and review of geomorphic surfaces of the boundary zone Mt. Taylor to Lucero uplift area, West-Central New Mexico. Office of Scientific and Technical Information (OSTI), January 1989. http://dx.doi.org/10.2172/148689.

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