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Dissertations / Theses on the topic 'News clustering'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Abuel-Futuh, Haytham. "News Feeds Clustering Research Study." NSUWorks, 2015. http://nsuworks.nova.edu/gscis_etd/52.

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With over 0.25 billion web pages hosted in the World Wide Web, it is virtually impossible to navigate through the Internet. Many applications try to help users achieve this task. For example, search engines build indexes to make the entire World Wide Web searchable, and news curators allow users to browse topics of interest on different structured sites. One problem that arises for these applications and others with similar goals is identifying documents with similar contents. This helps the applications show users documents with unique contents as well as group various similar documents under

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2

Borglund, Jon. "Event-Centric Clustering of News Articles." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-209654.

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Entertainity AB plans to build a news service to provide news to end-users in an innovative way. The service must include a way to automatically group series of news from different sources and publications, based on the stories they are covering.This thesis include three contributions: a survey of known clustering methods, an evaluation of human versus human results when grouping news articles in an event-centric manner, and last an evaluation of an incremental clustering algorithm to see if it is possible to consider a reduced input size and still get a sufficient result.The conclusions are t

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3

Pasi, Niharika. "Analysis of online news media through visualisation and text clustering." Thesis, Uppsala universitet, Informationssystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-361562.

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Online news has grown in frequency and popularity as a convenient source of information for several years. A result of this drastic surge is the increased competition for viewer-ship and prolonged relevance of online news websites. Higher demands by internet audiences have led to the use of sensationalism such as ‘clickbait’ articles or ‘fake news’ to attract more viewers. The subsequent shift in the journalistic approach in new media opened new opportunities to study the behaviour and intent behind the news content. As news publications cater their news to a specific target audience, conclusi

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4

Kantzola, Evangelia. "Extractive Text Summarization of Greek News Articles Based on Sentence-Clusters." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-420291.

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This thesis introduces an extractive summarization system for Greek news articles based on sentence clustering. The main purpose of the paper is to evaluate the impact of three different types of text representation, Word2Vec embeddings, TF-IDF and LASER embeddings, on the summarization task. By taking these techniques into account, we build three different versions of the initial summarizer. Moreover, we create a new corpus of gold standard summaries to evaluate them against the system summaries. The new collection of reference summaries is merged with a part of the MultiLing Pilot 2011 in or

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5

Ptitsyn, Andrey. "New algorithms for EST clustering." Thesis, University of the Western Cape, 2000. http://etd.uwc.ac.za/index.php?module=etd&amp.

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Expressed sequence tag database is a rich and fast growing source of data for gene expression analysis and drug discovery. Clustering of raw EST data is a necessary step for further analysis and one of the most challenging problems of modem computational biology.

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6

Kailing, Karin. "New Techniques for Clustering Complex Objects." Diss., lmu, 2004. http://nbn-resolving.de/urn:nbn:de:bvb:19-28407.

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7

Ling, E. N. "New statistical approaches to galaxy clustering." Thesis, University of Sussex, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.232960.

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8

Liu, Jinze Wang Wei. "New approaches for clustering high dimensional data." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2006. http://dc.lib.unc.edu/u?/etd,584.

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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2006.<br>Title from electronic title page (viewed Oct. 10, 2007). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Computer Science." Discipline: Computer Science; Department/School: Computer Science.

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9

Kröger, Peer. "Coping With New Challengens for Density-Based Clustering." Diss., lmu, 2004. http://nbn-resolving.de/urn:nbn:de:bvb:19-23966.

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10

Al, Shaqsi Jamil Darwish. "A novel clustering algorithm with a new similarity measure and ensemble methods for mixed data clustering." Thesis, University of East Anglia, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.533717.

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This thesis addressed some specific issues in clustering: (1) clustering algorithms, (2) similarity measures, (3) number of clusters, K, and (4) clustering ensemble methods. Following on an in-depth review of clustering methods, a new three staged (3-Staged) clustering algorithm is proposed, with new three key aspects: (1) a new method for automatically estimating the K value, (2) a new similarity measure and (3) initiating the clustering process with a promising BASE. A BASE is a real sample that acts like a centroid or a medoid in common clustering methods but it is determined differently in

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11

Oswald, Annahita. "Coping with new Challenges in Clustering and Biomedical Imaging." Diss., lmu, 2011. http://nbn-resolving.de/urn:nbn:de:bvb:19-134971.

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12

Awasthi, Pranjal. "Approximation Algorithms and New Models for Clustering and Learning." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/266.

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This thesis is divided into two parts. In part one, we study the k-median and the k-means clustering problems. We take a different approach than the traditional worst case analysis models. We show that by looking at certain well motivated stable instances, one can design much better approximation algorithms for these problems. Our algorithms achieve arbitrarily good approximation factors on stable instances, something which is provably hard on worst case instances. We also study a different model for clustering which introduces limited amount of interaction with the user. Such interactive mode

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13

Nguyen, Phuong Minh Electrical Engineering &amp Telecommunications Faculty of Engineering UNSW. "A new normalized EM algorithm for clustering gene expression data." Publisher:University of New South Wales. Electrical Engineering & Telecommunications, 2008. http://handle.unsw.edu.au/1959.4/43261.

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Microarray data clustering represents a basic exploratory tool to find groups of genes exhibiting similar expression patterns or to detect relevant classes of molecular subtypes. Among a wide range of clustering approaches proposed and applied in the gene expression community to analyze microarray data, mixture model-based clustering has received much attention to its sound statistical framework and its flexibility in data modeling. However, clustering algorithms following the model-based framework suffer from two serious drawbacks. The first drawback is that the performance of these algorithm

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14

Jurek, Anna. "A new approach to classifier ensemble learning based on clustering." Thesis, Ulster University, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.591073.

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The problem of combining multiple classifiers, referred to as a classifier ensemble, is one sub-domain of machine learning which has received significant attention in recent years. A classifier ensemble is an integration of classification models, referred to as base classifiers, whose individual decisions are combined in order to obtain a final prediction. The aim of using a classifier ensemble is to provide an overall level of performance which is superior to the performance of any of the single base classifiers. This Thesis studies the problem of constructing a classifier ensemble from diffe

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15

Gokcay, Erhan. "A new clustering algorithm for segmentation of magnetic resonance images." [Florida] : State University System of Florida, 2000. http://etd.fcla.edu/etd/uf/2000/ana6225/thesis.pdf.

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Thesis (Ph. D.)--University of Florida, 2000.<br>Title from first page of PDF file. Document formatted into pages; contains viii, 133 p.; also contains graphics. Vita. Includes bibliographical references (p. 119-132).

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16

Bailey, Sam Christopher. "New analytical techniques for the investigation of alpha clustering in nuclei." Thesis, University of Birmingham, 2017. http://etheses.bham.ac.uk//id/eprint/7150/.

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This thesis presents the analysis of two experiments, one measuring the He-4(N-14,a) and He-4(N-14,d)O-16 reactions and a second measuring the He-4(Ca-40,a), He-4(Ca-44,a) and He-4(Ca-48,a) reactions. These measurements were used to investigate F-18 and Ti-(44,48,52) respectively. In both experiments the Thick Target Inverse Kinematics technique was used and the analysis focused on the investigation of alpha-clustering. The measurements of He-4(N-14,a) and He-4(N-14,d)O-16 were performed between Ex[F-18] = 5.5 – 16 MeV, and evaluated using a full R-matrix analysis up to 9 MeV. From this nine n

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17

Liu, Xi. "Some new developments for quantile regression." Thesis, Brunel University, 2018. http://bura.brunel.ac.uk/handle/2438/16204.

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Quantile regression (QR) (Koenker and Bassett, 1978), as a comprehensive extension to standard mean regression, has been steadily promoted from both theoretical and applied aspects. Bayesian quantile regression (BQR), which deals with unknown parameter estimation and model uncertainty, is a newly proposed tool of QR. This thesis aims to make some novel contributions to the following three issues related to QR. First, whereas QR for continuous responses has received much attention in literatures, QR for discrete responses has received far less attention. Second, conventional QR methods often sh

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18

Xu, Yaomin. "New Clustering and Feature Selection Procedures with Applications to Gene Microarray Data." Case Western Reserve University School of Graduate Studies / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=case1196144281.

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19

Napierala, Christoph. "Finance equity in comparison of health systems : discussion of the current overall ranking of health systems by clustering these in their way of financing and equity /." Bühl, 2008. http://www.public-health-edu.ch/new/Abstracts/NC_15.12.08.pdf.

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20

Oyana, Damalie M. "Implementation of a new data stream clustering algorithm using discrete cosine transformed data /." Available to subscribers only, 2006. http://proquest.umi.com/pqdweb?did=1203588021&sid=12&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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21

Frigui, Hichem. "New approaches for robust clustering and for estimating the optimal number of clusters /." free to MU campus, to others for purchase, 1997. http://wwwlib.umi.com/cr/mo/fullcit?p9842528.

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22

Maier, Joshua. "PERFORMANCE STUDY OF SOW-AND-GROW: A NEW CLUSTERING ALGORITHM FOR BIG DATA." OpenSIUC, 2020. https://opensiuc.lib.siu.edu/theses/2669.

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DBSCAN is a density-based clustering algorithm that is known for being able to cluster irregular shaped clusters and can handle noise points as well. For very large sets of data, however, this algorithm becomes inefficient because it must go through each and every point and look at its neighborhood in order to determine the clusters. Also, DBSCAN is hard to implement in parallel due to the structure of the data and its sequential data access. The Sow and Grow algorithm is a parallel, density-based clustering algorithm. It utilizes a concept of growing points in order to more efficiently fin

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23

Oswald, Annahita [Verfasser], and Christian [Akademischer Betreuer] Böhm. "Coping with new Challenges in Clustering and Biomedical Imaging / Annahita Oswald. Betreuer: Christian Böhm." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2011. http://d-nb.info/1015734669/34.

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24

Dai, Yan. "A NEW IMPLEMENTATION OF CLUSTERING ALGORITHM AND ITS APPLICATION IN NET-TREE CONSTRUCTION ALGORITHM." Miami University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=miami1237496109.

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25

Lazic, Jasmina. "New variants of variable neighbourhood search for 0-1 mixed integer programming and clustering." Thesis, Brunel University, 2010. http://bura.brunel.ac.uk/handle/2438/4602.

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Many real-world optimisation problems are discrete in nature. Although recent rapid developments in computer technologies are steadily increasing the speed of computations, the size of an instance of a hard discrete optimisation problem solvable in prescribed time does not increase linearly with the computer speed. This calls for the development of new solution methodologies for solving larger instances in shorter time. Furthermore, large instances of discrete optimisation problems are normally impossible to solve to optimality within a reasonable computational time/space and can only be tackl

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26

Yan, Mingjin. "Methods of Determining the Number of Clusters in a Data Set and a New Clustering Criterion." Diss., Virginia Tech, 2005. http://hdl.handle.net/10919/29957.

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In cluster analysis, a fundamental problem is to determine the best estimate of the number of clusters, which has a deterministic effect on the clustering results. However, a limitation in current applications is that no convincingly acceptable solution to the best-number-of-clusters problem is available due to high complexity of real data sets. In this dissertation, we tackle this problem of estimating the number of clusters, which is particularly oriented at processing very complicated data which may contain multiple types of cluster structure. Two new methods of choosing the number of clust

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27

Van, Assche Dimitri. "New methodological perspectives on PROMETHEE methods." Doctoral thesis, Universite Libre de Bruxelles, 2019. https://dipot.ulb.ac.be/dspace/bitstream/2013/287858/6/contratDV.pdf.

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A few methodological contributions to the PROMETHEE method, essentially based on 3 articles:-FlowSort parameters elicitation based on categorization examples;-PROMETHEE is Not Quadratic: An O (qnlog (n)) Algorithm;-Lexicographic constrained multicriteria ordered clustering.<br>Doctorat en Sciences de l'ingénieur et technologie<br>info:eu-repo/semantics/nonPublished

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28

Ren, Sheng. "New Methods of Variable Selection and Inference on High Dimensional Data." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1511883302569683.

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29

Gao, Qian. "A systems biology approach to multi-scale modelling and analysis of planar cell polarity in Drosophila melanogaster wing." Thesis, Brunel University, 2013. http://bura.brunel.ac.uk/handle/2438/7478.

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Systems biology aims to describe and understand biology at a global scale where biological systems function as a result of complex mechanisms that happen at several scales. Modelling and simulation are computational tools that are invaluable for description, understanding and prediction these mechanisms in a quantitative and integrative way. Thus multi-scale methods that couple the design, simulation and analysis of models spanning several spatial and temporal scales is becoming a new emerging focus of systems biology. This thesis uses an exemplar – Planar cell polarity (PCP) signalling – to i

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30

Nasraoui, Olfa. "Object and relational clustering based on new robust estimators and genetic niching with applications to web mining /." free to MU campus, to others for purchase, 1999. http://wwwlib.umi.com/cr/mo/fullcit?p9953886.

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31

Wang, Xing. "Time Dependent Kernel Density Estimation: A New Parameter Estimation Algorithm, Applications in Time Series Classiﬁcation and Clustering". Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6425.

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The Time Dependent Kernel Density Estimation (TDKDE) developed by Harvey & Oryshchenko (2012) is a kernel density estimation adjusted by the Exponentially Weighted Moving Average (EWMA) weighting scheme. The Maximum Likelihood Estimation (MLE) procedure for estimating the parameters proposed by Harvey & Oryshchenko (2012) is easy to apply but has two inherent problems. In this study, we evaluate the performances of the probability density estimation in terms of the uniformity of Probability Integral Transforms (PITs) on various kernel functions combined with diﬀerent preset numbers. Furthermor

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32

Cannarozzo, Carlo. "A new void finder based on cosmic dynamics." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/12826/.

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Cosmic voids are large empty regions of the Universe, constituting a fundamental component of the Cosmic Web. Voids point out the scale at which density fluctuations have decoupled from the Hubble flow and formed overdense regions, such as galaxy clusters. Because of their low-density nature, voids are powerful probes to underline several crucial aspects of the Universe. Voids are formed from underdensities in the primordial field of density perturbations and may provide crucial information on the large scale structures. The main goal of this thesis is to implement a new Void Finder code ba

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33

Pluempitiwiriyawej, Charnyote. "A new hierarchical clustering model for speeding up the reconciliation of XML-based, semistructured data in mediation systems." [Gainesville, Fla.] : University of Florida, 2001. http://etd.fcla.edu/etd/uf/2001/anp1307/master.PDF.

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Thesis (Ph. D.)--University of Florida, 2001.<br>Title from first page of PDF file. Document formatted into pages; contains xii, 122 p.; also contains graphics. Vita. Includes bibliographical references (p. 114-121).

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34

Karlsson, Mikael. "Identifying New Fault Types Using Transformer Embeddings." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-303009.

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Continuous integration/delivery and deployment consist of many automated tests, some of which may fail leading to faulty software. Similar faults may occur in different stages of the software production lifecycle and it is necessary to identify similar faults and cluster them into fault types in order to minimize troubleshooting time. Pretrained transformer based language models have been proven to achieve state of the art results in many natural language processing tasks like measuring semantic textual similarity. This thesis aims to investigate whether it is possible to cluster and identify

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35

Crissman, Jennifer Lynne. "The impact of clustering freshman seminars with English composition courses on new students' grade point average and retention rates." Adobe Acrobat reader required to view the full dissertation, 1999. http://www.etda.libraries.psu.edu/theses/approved/WorldWideIndex/ETD-8/index.html.

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36

Jaber, Hadi. "Modeling and analysis of propagation risks in complex projects : application to the development of new vehicles." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLC022/document.

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La gestion de projets complexes nécessite d’orchestrer la coopération de centaines de personnes provenant de diverses entreprises, professions et compétences, de travailler sur des milliers d'activités, livrables, objectifs, actions, décisions et risques. En outre, ces nombreux éléments du projet sont de plus en plus interconnectés, et aucune décision ou action n’est indépendante. Cette complexité croissante est l'un des plus grands défis de la gestion de projet et l'une des causes de l'échec du projet en termes de dépassements de coûts et des retards. Par exemple, dans l'industrie automobile,

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37

Barceló, Rico Fátima. "Multimodel Approaches for Plasma Glucose Estimation in Continuous Glucose Monitoring. Development of New Calibration Algorithms." Doctoral thesis, Universitat Politècnica de València, 2012. http://hdl.handle.net/10251/17173.

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ABSTRACT Diabetes Mellitus (DM) embraces a group of metabolic diseases which main characteristic is the presence of high glucose levels in blood. It is one of the diseases with major social and health impact, both for its prevalence and also the consequences of the chronic complications that it implies. One of the research lines to improve the quality of life of people with diabetes is of technical focus. It involves several lines of research, including the development and improvement of devices to estimate "online" plasma glucose: continuous glucose monitoring systems (CGMS), both invasive

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38

Hung, Peng-Hsiang, and 洪鵬翔. "Automatic Clustering of News Titles." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/11926269449173759792.

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39

Huang, Chien-Lu, and 黃千籙. "Clustering News Articles Based on Social Behavior." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/7jenzx.

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碩士<br>國立臺北科技大學<br>電機工程系所<br>102<br>The social network is playing a significant role in our daily life and is changing the ways of social behaviors. As a result, the more diverse social behaviors are, the more diverse social communities are. This thesis proposes some algorithms for clustering news articles on Facebook pages based on the associated social behaviors, such as clicking the ''like'' button or leaving comments on news articles. The experimental results show that the behavior of leaving comments is the more appropriate factor to be considered in clustering news articles.

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Huang, Yu-Hau, and 黃郁豪. "Study of Comparing News Clustering Methods and Application." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/w6m7v8.

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碩士<br>國立交通大學<br>經營管理研究所<br>105<br>This study trains News data to transform text into words vector by Word2vec and combine with TFIDF. This study uses Jieba system to do word segmentation on Sina News and then sum up the combined TFIDF weight on words with words vector formed by Word2vec into the News vector. This study forms the News vector from 3%,5% and 7% keywords and all words from news and compares the News Clustering result with the methods of Doc2vec and normal TFIDF.There are total 6 ways to form News Vector. In the process of clustering, the study chooses Cosine Similarity as metric t

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41

Utomo, Vincent, and Vincent Utomo. "Automatic News-Roundup Generation using Clustering, Extraction, and Presentation." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/z6dggw.

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碩士<br>國立臺灣科技大學<br>電子工程系<br>106<br>Along with the growth of the internet, the number of information published increased exponentially. This huge flow of information causes information overload problem causes internet users facing difficulties in finding key information they needed on the internet. To solve this, this paper proposes an application that helps user find trending news of their query/interest easily. Three core modules of the application are clustering, extraction and presentation. Clustering is required to separate each subtopic found to avoid blur and mixed information received. W

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Liu, Sheng Dun, and 劉聖躉. "Clustering Controversial News based on User Perspective with Sentiment Analysis." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/rchpc4.

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碩士<br>國立清華大學<br>資訊系統與應用研究所<br>105<br>With the evolution of Internet technologies, especially in Web applications, news articles flood the Web every day from an extreme amount of news portals from around the world. It is almost impossible for a single person to keep track of an event, or a series of related events. Based on this problem, news services and search engines have become more popular. Despite of the ability to organize the news based on content similarity or categories, the result can't represent user perspective. By all means, the main objective of this research is to propose a dif

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Hsu, Han-Nung, and 徐漢農. "News Story Clustering with Fisher Embedding from What and How Aspects." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/h96uq2.

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碩士<br>國立中正大學<br>資訊工程研究所<br>103<br>Nowadays many news TV channels broadcast news 24 hours a day. However, some news stories are repeated again and again. How to browse news efficiently is an important problem. In this thesis, we propose a novel news story representation using Fisher vectors to cluster topic-related news stories together. Typically, bag of visual word (BoVW) model is applied to represent news stories. In recent experiments, ones verify that Fisher vector achieves better performance in image classification and action recognition, which inspires us to apply this approach to improv

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Huang, Chin-Chao, and 黃朝琴. "News Story Clustering with Bag of Word Model and Affinity Propagation." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/90083697719839941592.

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碩士<br>國立中正大學<br>資訊工程研究所<br>99<br>The 24-hour news TV channels repeat the same news stories again and again. To skip browsing repeated news stories, we propose a framework to cluster topic-related news stories together, and thus facilitate efficient browsing and summarization. Our proposed system continuously monitors news broadcast, and automatically segments news videos into shots, removes commercial breaks, and detects anchorpersons. Each news story is represented by the bag of visual word (BoW) model, the bag of trajectory (BoT) model to describe what and how objects present in it. We also

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Kau, Jia-liang, and 郭家良. "A Study and Implementation of News Event Clustering and Summarization Search Engine." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/06309080359305491455.

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碩士<br>國立雲林科技大學<br>資訊管理系碩士班<br>92<br>This research applies Topic Detection and Tracking technique which is both a clustering and classification method to group news reports into different clusters based on news event. In addition to a traditional browsing way based on category classification, this study also provides a more intuitive way of reading news. It is expeted to provide, news readers a more complete picture about one specific news event due to this effort. Besides, in order to give news reader a complete report about one news event, this research will group new coming news report into

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Chen, Jih-Hsin, and 陳日鑫. "Using Quantitative Association Rule and Hierarchical Agglomerative Clustering to construct News Map." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/86829565137533885595.

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碩士<br>國防大學管理學院<br>資訊管理學系<br>97<br>Document cluster is regarded as an automatic classification technique by retrieving the features of documents, constructing the linkages with terms, and calculating the similarity of contents. Generally speaking, it is so difficult to capture and identify the features and relationships of Chinese that the effect of classification/cluster on Chinese documents is insignificant. The purpose of this study is as follow: (1) to propose an approach which integrate quantitative association rule(QAR) with hierarchical agglomerative clustering(HAC) algorithm for cluster

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王怡達. "Using a Hierarchical News Clustering Approach to Support Business Performing Environmental Scanning." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/49143975239021701651.

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Jhan, Ya-Jhu, and 詹雅筑. "Apply News field weighting to improve the Latent Semantic analysis of clustering quality." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/22238141760863591609.

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碩士<br>國立雲林科技大學<br>資訊管理系碩士班<br>101<br>Generally speaking, the news title can present the central idea and theme of the news. However, most studies investigated the electronic news, and the clustering is based on the content of news. They did not figure that news title have the characteristics of high recognition in different clusters. Also, the traditional method, VSM lacks of semantic concepts and still can’t solve the problems of homonymy and synonym. It seriously affects the quality of news clustering. Therefore, in our study, we aim to precisely cluster the news events and avoid the interfe

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Luan, Fuan, and 欒富安. "A Distributed News Retrieval Model by Integrating Dynamical Clustering with Term Weighting Concepts." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/41325913474172862480.

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碩士<br>中原大學<br>資訊管理研究所<br>97<br>The capacity of data storage needed is increasing rapidly due to the increasing availability of information in electronic forms in the information era. A traditional data retrieval system uses a word-form based comparison approach to get the search results. Although this approach is able to handle huge amount of information, it still suffers from the semantic problem. On the other hand, the conceptual retrieval system can get an improvement by using vector space model ( VSM ) but this system is restricted to the curse of dimensionality. In order to handle large

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Τσόγκας, Βασίλειος. "Τεχνικές και μηχανισμοί συσταδοποίησης χρηστών και κειμένων για την προσωποποιημένη πρόσβαση περιεχομένου στον Παγκόσμιο Ιστό". Thesis, 2014. http://hdl.handle.net/10889/8446.

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Με την πραγματικότητα των υπέρογκων και ολοένα αυξανόμενων πηγών κειμένου στο διαδίκτυο, καθίστανται αναγκαία η ύπαρξη μηχανισμών οι οποίοι βοηθούν τους χρήστες ώστε να λάβουν γρήγορες απαντήσεις στα ερωτήματά τους. Η δημιουργία περιεχομένου, προσωποποιημένου στις ανάγκες των χρηστών, κρίνεται απαραίτητη σύμφωνα με τις επιταγές της συνδυαστικής έκρηξης της πληροφορίας που είναι ορατή σε κάθε ``γωνία'' του διαδικτύου. Ζητούνται άμεσες και αποτελεσματικές λύσεις ώστε να ``τιθασευτεί'' αυτό το χάος πληροφορίας που υπάρχει στον παγκόσμιο ιστό, λύσεις που είναι εφικτές μόνο μέσα από ανάλυση των προ

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