Relevant bibliographies by topics / Multidimensional indexing

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Multidimensional indexing'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Multidimensional indexing"

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Vlachos, Michail, Marios Hadjieleftheriou, Dimitrios Gunopulos, and Eamonn Keogh. "Indexing Multidimensional Time-Series." VLDB Journal 15, no. 1 (2005): 1–20. http://dx.doi.org/10.1007/s00778-004-0144-2.

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Sandin, Fredrik, Blerim Emruli, and Magnus Sahlgren. "Random indexing of multidimensional data." Knowledge and Information Systems 52, no. 1 (2016): 267–90. http://dx.doi.org/10.1007/s10115-016-1012-2.

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Safaei, Ali Asghar, and Saeede Habibi-Asl. "Multidimensional indexing technique for medical images retrieval." Intelligent Data Analysis 25, no. 6 (2021): 1629–66. http://dx.doi.org/10.3233/ida-205495.

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Retrieving required medical images from a huge amount of images is one of the most widely used features in medical information systems, including medical imaging search engines. For example, diagnostic decision making has traditionally been accompanied by patient data (image or non-image) and previous medical experiences from similar cases. Indexing as part of search engines (or retrieval system), increases the speed of a search. The goal of this study, is to provide an effective and efficient indexing technique for medical images search engines. In this paper, in order to archive this goal, a
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Malhotra, Shweta, Mohammad Najmud Doja, Bashir Alam, and Mansaf Alam. "Skipnet-Octree Based Indexing Technique for Cloud Database Management System." International Journal of Information Technology and Web Engineering 13, no. 3 (2018): 1–13. http://dx.doi.org/10.4018/ijitwe.2018070101.

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This article describes how data indexing plays a very crucial role in query processing. Systems based on traditional indexes like B-tree, R-tree, Bitmap, inverted indexing techniques are not suitable for efficient query evaluation as these systems are based on simple key-value pair and used only for point queries. In cloud data repositories, point queries are not sufficient for query as a cloud consists of multidimensional data. For multidimensional query processing, many techniques have been developed. In this article, a dynamic double layer indexing structure with the help of a Skipnet overl
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Ben-Arie, J., Zhiqian Wang, P. Pandit, and S. Rajaram. "Human activity recognition using multidimensional indexing." IEEE Transactions on Pattern Analysis and Machine Intelligence 24, no. 8 (2002): 1091–104. http://dx.doi.org/10.1109/tpami.2002.1023805.

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Califano, A., and R. Mohan. "Multidimensional indexing for recognizing visual shapes." IEEE Transactions on Pattern Analysis and Machine Intelligence 16, no. 4 (1994): 373–92. http://dx.doi.org/10.1109/34.277591.

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Zhang, Ying, Wenjie Zhang, Qianlu Lin, Xuemin Lin, and Heng Tao Shen. "Effectively Indexing the Multidimensional Uncertain Objects." IEEE Transactions on Knowledge and Data Engineering 26, no. 3 (2014): 608–22. http://dx.doi.org/10.1109/tkde.2013.21.

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Terry, Justin, and Bela Stantic. "Indexing method for multidimensional vector data." Computer Science and Information Systems 10, no. 3 (2013): 1077–104. http://dx.doi.org/10.2298/csis120702022t.

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Urruty, Thierry. "KpyrRec: a recursive multidimensional indexing structure." International Journal of Parallel, Emergent and Distributed Systems 23, no. 3 (2008): 235–45. http://dx.doi.org/10.1080/17445760701536159.

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Zhang, Chong, Weidong Xiao, Daquan Tang, and Jiuyang Tang. "P2P-based multidimensional indexing methods: A survey." Journal of Systems and Software 84, no. 12 (2011): 2348–62. http://dx.doi.org/10.1016/j.jss.2011.07.027.

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Dissertations / Theses on the topic "Multidimensional indexing"

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Terry, Justin. "Indexing Multidimensional Point Data." Thesis, Griffith University, 2010. http://hdl.handle.net/10072/365419.

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In current database applications there is a large and growing amount of multidimensional data that is not well supported. Modern database applications are turning more often to multidimensional data for a more sophisticated representation and reasoning of their universe. The amount of data collected, processed and stored continues to grow as new technologies emerge. Even relational data can be seen to be multidimensional as each attribute corresponds to a dimension. Despite the large and growing data sets, multidimensional data is not well supported above low dimensionality and there is no ind
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Nam, Beomseok. "Distributed multidimensional indexing for scientific data analysis applications." College Park, Md. : University of Maryland, 2007. http://hdl.handle.net/1903/6795.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2007.<br>Thesis research directed by: Computer Science. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Pedreira, Pedro Eugênio Rocha. "On indexing highly dynamic multidimensional datasets for interactive analytics." reponame:Repositório Institucional da UFPR, 2016. http://hdl.handle.net/1884/44470.

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Orientador : Prof. Dr. Luis Carlos Erpen de Bona<br>Tese (doutorado) - Universidade Federal do Paraná, Setor de Ciências Exatas, Programa de Pós-Graduação em Informática. Defesa: Curitiba, 15/04/2016<br>Inclui referências : f. 77-91<br>Área de concentração : Ciência da computação<br>Resumo: Indexação de dados multidimensionais tem sido extensivamente pesquisada nas últimas décadas. Neste trabalho, um novo workload OLAP identificado no Facebook é apresentado, caracterizado por (a) alta dinamicidade e dimensionalidade, (b) escala e (c) interatividade e simplicidade de consultas, inadequado para
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Goldman, Daniel A. "Multidimensional range searching using G-tree and B*-tree indexing." Diss., Online access via UMI:, 2005.

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Keskin, Sinan. "Implementation Of X-tree With 3d Spatial Index And Fuzzy Secondary Index." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612807/index.pdf.

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Multidimensional datasets are getting more extensively used in Geographic Information Systems (GIS) applications in recent years. Due to large volume of these datasets efficient querying becomes a significant problem. For this purpose, before creating index structure with these enormous datasets, choosing an efficient index structure is an urgent necessity. The aim of this thesis is to develop an efficient, flexible and extendible index structure which comprises 3D spatial data in primary index and fuzzy attributes in secondary index. These primary and secondary indexes are handled in a couple
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Bauer, Michael G. "Multidimensional indexing and querying of XML in digital libraries and relational database systems." [S.l. : s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=973922834.

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Bernardina, Philipe Dalla. "PCA-tree: uma proposta para indexação multidimensional." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-29082007-114522/.

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Com o vislumbramento de aplicações que exigiam representações em espaços multidimensionais, surgiu a necessidade de desenvolvimento de métodos de acessos eficientes a estes dados representados em R^d. Dentre as aplicações precursoras dos métodos de acessos multidimensionais, podemos citar os sistemas de geoprocessamento, aplicativos 3D e simuladores. Posteriormente, os métodos de acessos multidimensionais também apresentaram-se como uma importante ferramenta no projeto de classificadores, principalmente classificadores pelos vizinhos mais próximos. Com isso, expandiu-se o espaço de representaç
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Ahmed, Usman. "Dynamic cubing for hierarchical multidimensional data space." Phd thesis, INSA de Lyon, 2013. http://tel.archives-ouvertes.fr/tel-00876624.

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Data warehouses are being used in many applications since quite a long time. Traditionally, new data in these warehouses is loaded through offline bulk updates which implies that latest data is not always available for analysis. This, however, is not acceptable in many modern applications (such as intelligent building, smart grid etc.) that require the latest data for decision making. These modern applications necessitate real-time fast atomic integration of incoming facts in data warehouse. Moreover, the data defining the analysis dimensions, stored in dimension tables of these warehouses, al
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Černý, Petr. "Vyhledávání ve videu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236590.

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This thesis summarizes the information retrieval theory, the relational model basic and focuses on the data indexing in relational database systems. The thesis focuses on multimedia data searching. It includes description of automatic multimedia data content extraction and multimedia data indexing. Practical part discusses design and solution implementation for improving query effectivity for multidimensional vector similarity which describes multimedia data. Thesis final part discusses experiments with this solution.
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Kammoun, Abderrahmen. "Enhancing Stream Processing and Complex Event Processing Systems." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSES012.

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Alors que de plus en plus d'objets et d'appareils sensoriels connectés font partie de notre vie quotidienne, la masse d'informations circulant à grande vitesse ne cesse d'augmenter. Cette énorme quantité de données produites à des débits élevés exige une compréhension rapide pour être utile dans divers domaines d'activité telles que l'internet des objets, la santé, la gestion de l'énergie, etc. Les techniques traditionnelles de stockage et de traitement de données se sont révélées inefficaces ou inadaptables pour gérer ce flux de données. Cette thèse a pour objectif de proposer des solutions o
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Book chapters on the topic "Multidimensional indexing"

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Bayer, Rudolf. "XML Databases: Modeling and Multidimensional Indexing." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44759-8_1.

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Califano, Andrea, and Rakesh Mohan. "Multidimensional Indexing for Recognizing Visual Shapes." In Visual Form. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4899-0715-8_12.

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Calistru, Catalin, Cristina Ribeiro, and Gabriel David. "Multidimensional Descriptor Indexing: Exploring the BitMatrix." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11788034_41.

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Elbassioni, Khaled, Amr Elmasry, and Ibrahim Kamel. "Indexing Schemes for Multidimensional Moving Objects." In Encyclopedia of GIS. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-17885-1_614.

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Becker, Ludger, Andreas Voigtmann, and Klaus H. Hinrichs. "Temporal Indexing with Multidimensional File Structures." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48309-8_97.

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Cha, Guang-Ho, and Yong-Ik Yoon. "Clustered Indexing Technique for Multidimensional Index Structures." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-46146-9_92.

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Hacid, Hakim, and Tetsuya Yoshida. "Incremental Neighborhood Graphs Construction for Multidimensional Databases Indexing." In Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72665-4_35.

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Sampada, K. S., Lalit Adithya, and N. P. Kavya. "Performance Analysis of Multidimensional Indexing in Keyword Search." In Lecture Notes in Networks and Systems. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8198-9_18.

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Bayer, Rudolf. "The universal B-tree for multidimensional indexing: General concepts." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63343-x_48.

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Terry, Justin, Bela Stantic, Paolo Terenziani, and Abdul Sattar. "Variable Granularity Space Filling Curve for Indexing Multidimensional Data." In Advances in Databases and Information Systems. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23737-9_9.

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Conference papers on the topic "Multidimensional indexing"

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sotoude, Davood, and Nasser Yazdani. "MIWD: Multidimensional indexing for web documents." In 2012 16th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP). IEEE, 2012. http://dx.doi.org/10.1109/aisp.2012.6313738.

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Nam, B., and A. Sussman. "Spatial indexing of distributed multidimensional datasets." In CCGrid 2005. IEEE International Symposium on Cluster Computing and the Grid, 2005. IEEE, 2005. http://dx.doi.org/10.1109/ccgrid.2005.1558637.

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Vlachou, Akrivi. "Efficient RDF Query Processing using Multidimensional Indexing." In PCI 2017: 21st PAN-HELLENIC CONFERENCE ON INFORMATICS. ACM, 2017. http://dx.doi.org/10.1145/3139367.3139408.

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Zhao, J. Leon, and Sai Ho Kwok. "Multidimensional indexing for content-based image retrieval." In Photonics China '98, edited by LiWei Zhou and Chung-Sheng Li. SPIE, 1998. http://dx.doi.org/10.1117/12.319734.

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Gonalves, Bruno, Catalin Calistru, Cristina Ribeiro, and Gabriel David. "An Evaluation Framework for Multidimensional Multimedia Descriptor Indexing." In 2007 IEEE 23rd International Conference on Data Engineering Workshop. IEEE, 2007. http://dx.doi.org/10.1109/icdew.2007.4400978.

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Jain, Rachna, Praney Taygi, Mayank Sharma, and Sunil Kumar Khatri. "Fault Tolerance Based Indexing for Multidimensional Data Bases." In 2019 Amity International Conference on Artificial Intelligence (AICAI). IEEE, 2019. http://dx.doi.org/10.1109/aicai.2019.8701226.

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Sallam, Ibrahim. "Multidimensional Indexing in an OODBMS - a Case Study." In 2006 Canadian Conference on Electrical and Computer Engineering. IEEE, 2006. http://dx.doi.org/10.1109/ccece.2006.277747.

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Chang, Yuan-Chi, Lawrence D. Bergman, John R. Smith, and Chung-Sheng Li. "Efficient multidimensional indexing structure for linear maximization queries." In Photonics East '99, edited by Sethuraman Panchanathan, Shih-Fu Chang, and C. C. Jay Kuo. SPIE, 1999. http://dx.doi.org/10.1117/12.360440.

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Shepherd, John A., Xiaoming Zhu, and Nimrod Megiddo. "Fast indexing method for multidimensional nearest-neighbor search." In Electronic Imaging '99, edited by Minerva M. Yeung, Boon-Lock Yeo, and Charles A. Bouman. SPIE, 1998. http://dx.doi.org/10.1117/12.333854.

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Dinghua, HE. "Distributed Multidimensional Data Indexing Strategy in Cloud Computing Environment." In 2021 6th International Conference on Smart Grid and Electrical Automation (ICSGEA). IEEE, 2021. http://dx.doi.org/10.1109/icsgea53208.2021.00051.

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