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Dissertations / Theses on the topic 'Latent indexing'

Author: Grafiati

Published: 3 June 2025

Last updated: 1 August 2025

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1

La, Fleur Magnus, and Fredrik Renström. "Conceptual Indexing using Latent Semantic Indexing : A Case Study." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-263029.

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Information Retrieval is concerned with locating information (usually text) that is relevant to a user's information need. Retrieval systems based on word matching suffer from the vocabulary mismatch problem, which is a common phenomenon in the usage of natural languages. This difficulty is especially severe in large, full-text databases since such databases contain many different expressions of the same concept. One method aimed to reduce the negative effects of the vocabulary mismatch problem is for the retrieval system to exploit statistical relations. This report examines the utility of co

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Suwannajan, Pakinee. "Evaluating the performance of latent semantic indexing." Diss., Connect to online resource, 2005. http://wwwlib.umi.com/dissertations/fullcit/3178359.

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Araújo, Hugo Rafael Teixeira Soares. "Exploring biomedical literature using latent semantic indexing." Master's thesis, Universidade de Aveiro, 2012. http://hdl.handle.net/10773/11298.

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Mestrado em Engenharia de Computadores e Telemática<br>O rápido crescimento de dados disponível na Internet e o facto de se encontrar maioritariamente na forma de texto não estruturado, tem criado sucessivos desafios na recuperação e indexação desta informação. Para além da Internet, também inúmeras bases de dados documentais, de áreas específicas do conhecimento, são confrontadas com este problema. Com a quantidade de informação a crescer tão rapidamente, os métodos tradicionais para indexar e recuperar informação, tornam-se insuficientes face a requisitos cada vez mais exigentes por parte do

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Geiß, Johanna. "Latent Semantic Indexing and Information Retrieval a quest with BosSE /." [S.l. : s.n.], 2006. http://nbn-resolving.de/urn:nbn:de:bsz:16-opus-67536.

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Polyakov, Serhiy. "Enhancing User Search Experience in Digital Libraries with Rotated Latent Semantic Indexing." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc804881/.

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This study investigates a semi-automatic method for creation of topical labels representing the topical concepts in information objects. The method is called rotated latent semantic indexing (rLSI). rLSI has found application in text mining but has not been used for topical labels generation in digital libraries (DLs). The present study proposes a theoretical model and an evaluation framework which are based on the LSA theory of meaning and investigates rLSI in a DL environment. The proposed evaluation framework for rLSI topical labels is focused on human-information search behavior and satisf

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Geiss, Johanna. "Latent semantic sentence clustering for multi-document summarization." Thesis, University of Cambridge, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609761.

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Spomer, Judith E. "Latent semantic analysis and classification modeling in applications for social movement theory /." Abstract Full Text (HTML) Full Text (PDF), 2008. http://eprints.ccsu.edu/archive/00000552/02/1996FT.htm.

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Thesis (M.S.) -- Central Connecticut State University, 2008.<br>Thesis advisor: Roger Bilisoly. "... in partial fulfillment of the requirements for the degree of Master of Science in Data Mining." Includes bibliographical references (leaves 122-127). Also available via the World Wide Web.

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Buys, Stephanus. "Log analysis aided by latent semantic mapping." Thesis, Rhodes University, 2013. http://hdl.handle.net/10962/d1002963.

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In an age of zero-day exploits and increased on-line attacks on computing infrastructure, operational security practitioners are becoming increasingly aware of the value of the information captured in log events. Analysis of these events is critical during incident response, forensic investigations related to network breaches, hacking attacks and data leaks. Such analysis has led to the discipline of Security Event Analysis, also known as Log Analysis. There are several challenges when dealing with events, foremost being the increased volumes at which events are often generated and stored. Fur

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Hockey, Andrew. "Computational modelling of the language production system : semantic memory, conflict monitoring, and cognitive control processes /." [St. Lucia, Qld.], 2006. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe20099.pdf.

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Alsallal, M. "A machine learning approach for plagiarism detection." Thesis, Coventry University, 2016. http://curve.coventry.ac.uk/open/items/7e903a56-4845-4852-b1a8-2849b1cdb08a/1.

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Plagiarism detection is gaining increasing importance due to requirements for integrity in education. The existing research has investigated the problem of plagrarim detection with a varying degree of success. The literature revealed that there are two main methods for detecting plagiarism, namely extrinsic and intrinsic. This thesis has developed two novel approaches to address both of these methods. Firstly a novel extrinsic method for detecting plagiarism is proposed. The method is based on four well-known techniques namely Bag of Words (BOW), Latent Semantic Analysis (LSA), Stylometry and

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Zhu, Weizhong Allen Robert B. "Text clustering and active learning using a LSI subspace signature model and query expansion /." Philadelphia, Pa. : Drexel University, 2009. http://hdl.handle.net/1860/3077.

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Alazzam, Iyad. "Using Information Retrieval to Improve Integration Testing." Diss., North Dakota State University, 2012. https://hdl.handle.net/10365/26508.

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Software testing is an important factor of the software development process. Integration testing is an important and expensive level of the software testing process. Unfortunately, since the developers have limited time to perform integration testing and debugging and integration testing becomes very hard as the combinations grow in size, the chain of calls from one module to another grow in number, length, and complexity. This research is about providing new methodology for integration testing to reduce the number of test cases needed to a significant degree while returning as much of its eff

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Zaras, Dimitrios. "Evaluating Semantic Internalization Among Users of an Online Review Platform." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc804823/.

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The present study draws on recent sociological literature that argues that the study of cognition and culture can benefit from theories of embodied cognition. The concept of semantic internalization is introduced, which is conceptualized as the ability to perceive and articulate the topics that are of most concern to a community as they are manifested in social discourse. Semantic internalization is partly an application of emotional intelligence in the context of community-level discourse. Semantic internalization is measured through the application of Latent Semantic Analysis. Furthermore, i

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Meqdadi, Omar Mohammed. "UNDERSTANDING AND IDENTIFYING LARGE-SCALE ADAPTIVE CHANGES FROM VERSION HISTORIES." Kent State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=kent1374791564.

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Hájek, Petr. "Možnosti využití netradičních kvantitativních metod při předpovídání finančních krizí." Doctoral thesis, Vysoká škola ekonomická v Praze, 2007. http://www.nusl.cz/ntk/nusl-2340.

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Práce je rozdělena na tři části. V teoretické části práce jsou přiblíženy významné krize za posledních několik set let, typologie krizí, selhání finančních trhů dle P. Krugmana, generační modely, cenové bubliny, souvislost kapitálových toků a dluhového problému, nákaza, prevence před krizemi a jejich management. V druhé části jsou v rámci popisu současného stavu bádání v oblasti predikce finančních krizí citovány desítky studií. Jejich výsledky jsou následně porovnány. Pozornost je také věnována definici finanční krize. Ve třetí části je provedena aplikace metody Latent Semantic Indexing (LSI)

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Chen, Xin. "Human-centered semantic retrieval in multimedia databases." Birmingham, Ala. : University of Alabama at Birmingham, 2008. https://www.mhsl.uab.edu/dt/2008p/chen.pdf.

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Thesis (Ph. D.)--University of Alabama at Birmingham, 2008.<br>Additional advisors: Barrett R. Bryant, Yuhua Song, Alan Sprague, Robert W. Thacker. Description based on contents viewed Oct. 8, 2008; title from PDF t.p. Includes bibliographical references (p. 172-183).

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Langley, Joseph R. "SCRIBE a clustering approach to semantic information retrieval /." Master's thesis, Mississippi State : Mississippi State University, 2006. http://sun.library.msstate.edu/ETD-db/ETD-browse/browse.

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Vasireddy, Jhansi Lakshmi. "Applications of Linear Algebra to Information Retrieval." Digital Archive @ GSU, 2009. http://digitalarchive.gsu.edu/math_theses/71.

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Some of the theory of nonnegative matrices is first presented. The Perron-Frobenius theorem is highlighted. Some of the important linear algebraic methods of information retrieval are surveyed. Latent Semantic Indexing (LSI), which uses the singular value de-composition is discussed. The Hyper-Text Induced Topic Search (HITS) algorithm is next considered; here the power method for finding dominant eigenvectors is employed. Through the use of a theorem by Sinkohrn and Knopp, a modified HITS method is developed. Lastly, the PageRank algorithm is discussed. Numerical examples and MATLAB programs

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Macedo, Alessandra Alaniz. "Especificação, instanciação e experimentação de um arcabouço para criação automática de ligações hipertexto entre informações homogêneas." Universidade de São Paulo, 2004. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-05102004-113421/.

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Com a evolução da informática, diferentes meios de comunicação passaram a explorar a Web como um meio de divulgação de suas informações. Diferentes fontes de informações, diferentes estilos de escrita e a curiosidade nata do ser humano despertam o interesse de leitores por conhecer mais de um relato sobre um mesmo tema. Para que a leitura de diferentes relatos com conteúdo similar seja possível, leitores precisam procurar, ler e analisar informações fornecidas por diferentes fontes de informação. Essa atividade, além de exigir grande investimento de tempo, sobrecarrega cognitivamente usuários.

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Novák, Ján. "Automatická tvorba tezauru z wikipedie." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-236964.

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This thesis deals with automatic acquiring thesauri from Wikipedia. It describes Wikipedia as a suitable data set for thesauri acquiring and also methods for computing semantic similarity of terms are described. The thesis also contains a description of concepts and implementation of the system for automatic thesauri acquiring. Finally, the implemented system is evaluated by the standard metrics, such as precision or recall.

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Eriksson, Jenny, and Pia Eskola. "Automatisk tesauruskonstruktion med latent semantisk indexering." Thesis, Högskolan i Borås, Institutionen Biblioteks- och informationsvetenskap / Bibliotekshögskolan, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-18226.

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The aim of this thesis is to examine how thesauri constructed with latent semantic indexing LSI are performing when used for query expansion. There is a well-known problem with synonymy in information retrieval and one solution to this problem is to use a thesaurus. In this thesis thesauri are created automatically to find statistically related words and not only synonyms. LSI is a method that uses singular value decomposition SVD to reduce dimensions in a matrix and find latent relationships between words. We constructed nine thesauri and used them for query expansion in a Swedish database, G

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Zougris, Konstantinos. "Sociological Applications of Topic Extraction Techniques: Two Case Studies." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc804982/.

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Limited research has been conducted with regards to the applicability of topic extraction techniques in Sociology. Addressing the modern methodological opportunities, and responding to the skepticism with regards to the absence of theoretical foundations supporting the use of text analytics, I argue that Latent Semantic Analysis (LSA), complemented by other text analysis techniques and multivariate techniques, can constitute a unique hybrid method that can facilitate the sociological interpretations of web-based textual data. To illustrate the applicability of the hybrid technique, I developed

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Alhindawi, Nouh Talal. "Supporting Source Code Comprehension During Software Evolution and Maintenance." Kent State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=kent1374790792.

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Pohlídal, Antonín. "Inteligentní emailová schránka." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236458.

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This master's thesis deals with the use of text classification for sorting of incoming emails. First, there is described the Knowledge Discovery in Databases and there is also analyzed in detail the text classification with selected methods. Further, this thesis describes the email communication and SMTP, POP3 and IMAP protocols. The next part contains design of the system that classifies incoming emails and there are also described realated technologie ie Apache James Server, PostgreSQL and RapidMiner. Further, there is described the implementation of all necessary components. The last part c

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Camacho, Rodriguez Jesus. "Efficient techniques for large-scale Web data management." Thesis, Paris 11, 2014. http://www.theses.fr/2014PA112229/document.

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Le développement récent des offres commerciales autour du cloud computing a fortement influé sur la recherche et le développement des plateformes de distribution numérique. Les fournisseurs du cloud offrent une infrastructure de distribution extensible qui peut être utilisée pour le stockage et le traitement des données.En parallèle avec le développement des plates-formes de cloud computing, les modèles de programmation qui parallélisent de manière transparente l'exécution des tâches gourmandes en données sur des machines standards ont suscité un intérêt considérable, à commencer par le modèle

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Boccato, Vera Regina Casari [UNESP]. "Avaliação de linguagem documentária em fonoaudiologia na perspectiva do usuário: estudo de observação da recuperação da informação com protocolo verbal." Universidade Estadual Paulista (UNESP), 2005. http://hdl.handle.net/11449/93701.

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Made available in DSpace on 2014-06-11T19:26:45Z (GMT). No. of bitstreams: 0 Previous issue date: 2005-11-22Bitstream added on 2014-06-13T18:55:07Z : No. of bitstreams: 1 boccato_vrc_me_mar.pdf: 1974835 bytes, checksum: ee9ca76b2ff4678b7bb5f69f6b6cae50 (MD5)<br>Universidade Estadual Paulista (UNESP)<br>A linguagem documentária, instrumento mediador da informação documentária entre o Sistema de Informação e o usuário, tem papel fundamental no acesso à informação, proporcionando a satisfação na recuperação da informação e, conseqüentemente, a geração do conhecimento científico que contribui pa

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Shiung, Ruei-shiang, and 熊瑞祥. "On Latent semantic Indexing." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/42703613124815531926.

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碩士<br>國立中正大學<br>應用數學研究所<br>94<br>In this article we study the well-known information retrieval(IR) system : the Latent Semantic Indexing(LSI) model. This method projects document vectors into some specific subspace of the range of the term-document matrix. We provide two new methods, called QR method and Gram-Schmidt method, for projecting document vectors into different subspaces and compare them with the LSI model. Furthermore, we show the numerical experiment in using the LSI model, the vector space model, and the QR method on Medline collection and Cranfield collection.

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Zhang, Xueshan. "Novelty Detection by Latent Semantic Indexing." Thesis, 2013. http://hdl.handle.net/10012/7560.

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As a new topic in text mining, novelty detection is a natural extension of information retrieval systems, or search engines. Aiming at refining raw search results by filtering out old news and saving only the novel messages, it saves modern people from the nightmare of information overload. One of the difficulties in novelty detection is the inherent ambiguity of language, which is the carrier of information. Among the sources of ambiguity, synonymy proves to be a notable factor. To address this issue, previous studies mainly employed WordNet, a lexical database which can be perceived as a the

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Huang, Jwo-Luen, and 黃卓倫. "Passage Retrieval Using Latent Semantics Indexing." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/95765820324600203140.

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碩士<br>國立臺灣大學<br>資訊管理學系<br>85<br>With the development of information technology and the increasing ofinformation flow, everyone has to face more and more information. Therefore, without technology for information filtering, it would be very difficult to find the needed information. In order to solve this difficulty, the information retrieval therefore developed. When using this technology, users expect this technology help to search for what they really need. The query result must not only m

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Lin, Chia-min, and 林家民. "Clustering Multilingual Documents: A Latent Semantic Indexing Based Approach." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/69494075344886983368.

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碩士<br>國立中山大學<br>資訊管理學系研究所<br>94<br>Document clustering automatically organizes a document collection into distinct groups of similar documents on the basis of their contents. Most of existing document clustering techniques deal with monolingual documents (i.e., documents written in one language). However, with the trend of globalization and advances in Internet technology, an organization or individual often generates/acquires and subsequently archives documents in different languages, thus creating the need for multilingual document clustering (MLDC). Motivated by its significance and need, t

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Zhuang, Ke-Ren, and 莊可任. "Automatic Presentation Slide Generation based on Latent Semantic Indexing." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/97034104190672499230.

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碩士<br>國立屏東商業技術學院<br>資訊管理系(所)<br>100<br>We proposed using Latent Semantic Analysis (LSA) to generate document summary, and further form PowerPoint slides to help researchers to organize their briefings. Comparing with automatic summarization, automatic slide generation requires: the alignment of the slide’s contents with their original chapters, and covering important issues of the document. To fulfill these two requirements, we proposed to get summary from each chapter/section, and to use LSA for topics extraction to cover document’s issues. In addition, Owing that the purpose of document summ

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Wang, Juo-Wen, and 汪若文. "Automatic Classification of Text Documents by Using Latent Semantic Indexing." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/09421240911724157604.

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碩士<br>國立交通大學<br>管理學院碩士在職專班資訊管理組<br>92<br>Search and browse are both important tasks in information retrieval. Search provides a way to find information rapidly, but relying on words makes it hard to deal with the problems of synonym and polysemy. Besides, users sometimes cannot provide suitable query and cannot find the information they really need. To provide good information services, the service of browse through good classification mechanism as well as information search are very important. There are two steps in classifying documents. The first is to present documents in suitable mathemat

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Zeng, Wei-Rong, and 曾韋榮. "Combining Latent Semantic Indexing with Information granulation for Data Mining." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/pr286u.

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碩士<br>國立臺北科技大學<br>商業自動化與管理研究所<br>94<br>With the rapid information growth, the development of data mining aims at discovering useful patterns from the huge amount of data. Enterprise data usually have features of multi-dimension, sparsity and imbalance. These features result in significant impacts on the functions of data mining. Therefore, data preprocessing has become an essential task in data mining, which can reduce the data size and remove noises and outliers. By using Singular Value Decomposition, Latent Semantic Indexing (LSI) can effectively process multidimensional and sparse data. The

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Lin, Guan-Hong, and 林冠宏. "Protein Function Prediction from Protein Interaction Networks by Latent Semantic Indexing." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/77778843235131898005.

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碩士<br>國立中央大學<br>資訊工程研究所<br>93<br>Determining protein function is one of the most important tasks in the post-genomic era. Large-scale biological experiment results such as protein interaction networks can be obtained now, and these data often involve the information about protein functions. In this thesis, we present an approach based on Latent Semantic Indexing (LSI) to extract this information from protein interaction networks. LSI is an information retrieval technique that can solve the synonymy and polysemy problems. Because biologists believe that there are a lot of false positives and fa

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Chang, Jyh-Cheng, and 張志成. "Computer-Assisted Construction of Knowledge Map Based on Latent Semantic Indexing." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/69111521837321476885.

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博士<br>中原大學<br>電子工程研究所<br>95<br>The most important issue of constructing a concept map is not coming up with the list of concepts to involve, but linking the concepts into meaningful propositions to create a connected structure that reflects the person’s understanding of a domain. This research present a system which, during the process of concept mapping, takes the partially constructed map or an independent keyword as input to mine the Web, and suggests to the user a list of weighted concepts that are relevant to the map under construction. The system first uses the Latent Semantic Indexing (

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Majavu, Wabo. "Classification of web resident sensor resources using latent semantic indexing and ontologies." Thesis, 2010. http://hdl.handle.net/10539/7920.

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Web resident sensor resource discovery plays a crucial role in the realisation of the Sensor Web. The vision of the Sensor Web is to create a web of sensors that can be manipulated and discovered in real time. A current research challenge in the sensor web is the discovery of relevant web sensor resources. The proposed approach towards solving the discovery problem is to implement a modified Latent Semantic Indexing(LSI) by making use of an ontology for classifying Web Resident Resources found in geospatial web portals. This research introduces a new method aimed at improving an informa

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Hsiu, Min, and 何旻修. "The Research of Using Agglomerative Fuzzy K-Means Clustering in Latent Semantic Indexing." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/35507679547671787463.

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碩士<br>國立中央大學<br>資訊管理研究所<br>98<br>Due to high cost of computing latent semantic indexing has not been popular, and full computing of large datasets is still too expensive is concerned by some scholars recently, and some strategies is improved based on clustering, that allow users to query keywords with little effort on comparing with similar clusters and reduce computational cost. However, those studies using the strategies based on clustering can only be compared with a fixed number of comparisons, and the query results are limited. The Agglomerative Fuzzy K-Means Clustering algorithm is p

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Lin, Chun-Yu, and 林俊宇. "Language Identification of Language-Mixed Speech Using Latent Semantic Indexing and Language Model." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/5cyrat.

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碩士<br>國立成功大學<br>資訊工程學系碩博士班<br>90<br>With the trend of globalizing information exchangeability and communication, human machine interface with multi-lingual processing ability to distinguish between languages and provide inter-connective services become increasingly important. In the multi-lingual spoken language and dialog applications, the problem of multiple language or mixed language input is crucial for speech recognition. Recent researches into automatic language identification (LID) and recognition have been addressed to keep up with the growing demand from the application side. These a

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Lukon, Shelly Candita. "A machine-aided approach to intelligent index generation using natural language processing and latent semantic anaylsis to determine the contexts and relationships among words in a corpus /." 2006. http://etd1.library.duq.edu/theses/available/etd-11022006-145614/.

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Kontostathis, April. "A term co-occurrence based framework for understanding LSI [i.e. latent semantic indexing] : theory and practice /." Diss., 2003. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3117161.

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CHEN, SHIH-HSUAN, and 陳世軒. "Integrating Latent Semantic Indexing and Clustering Algorithms to Develop a Long-Term Care 2.0 App based on Spark." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/wnw89d.

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碩士<br>國立虎尾科技大學<br>資訊工程系碩士班<br>107<br>The main reason for the low usage rate of long-term care 2.0 is that most people do not understand the long-term care 2.0 system, and how to improve the awareness and usage of long-term care is the main purpose of this study. This study proposes to Integrating LSI, K-means and K-NN into Semantic Cloud Framework (ILKKSCF) to solve the above problems. The main of the system is to use the Latent Semantic Indexing (LSI), K-means and K-NN in Machine Learning and combine the Semantic Web, and to analyze Big Data based on cloud computing. Collect articles related

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Rodrigues, Alexandre José Monteiro. "Recomendação de conteúdos : aplicação de agrupamento distribuído a conteúdos de TV." Master's thesis, 2010. http://hdl.handle.net/10216/63414.

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Rodrigues, Alexandre José Monteiro. "Recomendação de conteúdos : aplicação de agrupamento distribuído a conteúdos de TV." Dissertação, 2010. http://hdl.handle.net/10216/63414.

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(14030507), Deepani B. Guruge. "Effective document clustering system for search engines." Thesis, 2008. https://figshare.com/articles/thesis/Effective_document_clustering_system_for_search_engines/21433218.

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<p>People use web search engines to fill a wide variety of navigational, informational and transactional needs. However, current major search engines on the web retrieve a large number of documents of which only a small fraction are relevant to the user query. The user then has to manually search for relevant documents by traversing a topic hierarchy, into which a collection is categorised. As more information becomes available, it becomes a time consuming task to search for required relevant information.</p> <p>This research develops an effective tool, the web document clustering (WDC) system

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Shen, Chin-An, and 沈晉安. "The Design of Latency and Energy-Efficient Indexing Method for Wireless Broadcasting Systems." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/28804361737639851643.

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碩士<br>國立臺灣海洋大學<br>資訊工程學系<br>101<br>In recent years, mobile communication is more popular. People usually use their smartphone or tablet to get the information via wireless network. The broadcast system is an effective way to reduce the repeated transmission of popular information in wireless network. To avoid multiple retransmission and to decrease the number of request from mobile devices, frequently requested information are periodically broadcasted on the downlink channels by a base station, and mobile devices tune into these channels to extract the desired information. In reality the popul

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Hsu, Fu-Min, and 許富閔. "A Latency and Energy-Efficient Indexing Method for Accessing Popularity-Based Wireless Broadcasting Systems." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/9g3dsa.

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碩士<br>國立臺灣海洋大學<br>資訊工程學系<br>102<br>To reduce the repeated transmission of popular information in wireless network download channels, where limited wireless bandwidth resources are provided, data broadcasting is an efficient information transmission method. In this study, we designed a data broadcasting method called the windmill indexing algorithm (WIA), which balances the QoS and energy conservation. WIA provides new scheduling technology for broadcast systems and a new information searching method for mobile devices that simultaneously conserves mobile device energy and maintains favorable a

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