Browsing by Subject "Data mining"
Now showing items 1-20 of 24
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Conference Object
AKAMAS: Mining association rules using a new algorithm for the assessment of the risk of coronary heart events
(2009)Many algorithms have been developed for rule mining in large transaction databases. Discovery of some important association rules is a main database mining problem. The objective of this study was to develop a new data ...
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Article
Assessment of the risk factors of coronary heart events based on data mining with decision trees
(2010)Coronary heart disease (CHD) is one of the major causes of disability in adults as well as one of the main causes of death in the developed countries. Although significant progress has been made in the diagnosis and treatment ...
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Conference Object
Assessment of the risk of coronary heart event based on data mining
(2008)Coronary heart disease (CHD) is a major cause of morbidity and mortality in the western world. Although significant progress has been made in the diagnosis and treatment of CHD, further investigation is still needed. The ...
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Conference Object
Association rule analysis for the assessment of the risk of coronary heart events
(2009)Although significant progress has been made in the diagnosis and treatment of coronary heart disease (CHD), further investigation is still needed. The objective of this study was to develop a data mining system using ...
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Conference Object
Classification and data mining for hysteroscopy imaging in gynaecology
(2008)The objective of this study was to develop a CAD system for the classification of hysteroscopy images of the endometrium (with suspicious areas of cancer), based on two data mining procedures, the C4.5 and the Hybrid ...
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Doctoral Thesis Open Access
Clustering attributed multi-graphs
(Πανεπιστήμιο Κύπρου, Σχολή Θετικών και Εφαρμοσμένων Επιστημών / University of Cyprus, Faculty of Pure and Applied Sciences, 2017-06)Ένα δικτύων πληροφοριών (information networks) μπορεί να μοντελοποιηθεί αποτελεσματικά ως ένας πολυγράφος ιδιοτήτων (attributed multi-graph). Σε ένα πολυγράφο ιδιοτήτων μια κορυφή (vertex) αντιπροσωπεύει ένα αντικείμενο. ...
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Article
Clustering of biological time series by cepstral coefficients based distances
(2008)Clustering of stationary time series has become an important tool in many scientific applications, like medicine, finance, etc. Time series clustering methods are based on the calculation of suitable similarity measures ...
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Article
A clustering-based prefetching scheme on a Web cache environment
(2008)Web prefetching is an attractive solution to reduce the network resources consumed by Web services as well as the access latencies perceived by Web users. Unlike Web caching, which exploits the temporal locality, Web ...
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Article
Crowdsourcing emergency data in non-operational cellular networks
(2017)In overloaded or partially broken (i.e., non-operational) cellular networks, it is imperative to enable communication within the crowd to allow the management of emergency and crisis situations. To this end, a variety of ...
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Doctoral Thesis Open Access
Discovering disease associated gene-gene interactions: A two SNP interaction analysis framework
(Πανεπιστήμιο Κύπρου, Σχολή Θετικών και Εφαρμοσμένων Επιστημών / University of Cyprus, Faculty of Pure and Applied Sciences, 2011-05)Στις πλείστες κληρονομικές ασθένειες η προδιάθεση ατόμον επηρεάζεται από αλληλεπιδράσεις μεταξύ πολλαπλών γενετικών περιοχών και περιβαλλοντικών παραγόντων. Οι παραδοσιακές μέθοδοι γενετικής ανάλυσης έχουν συγκεντρωθεί στη ...
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Conference Object
IEEE ICDM 2010 Contest: TomTom Traffic prediction for intelligent GPS Navigation
(2010)In this foreword, we summarize the IEEE ICDM 2010 Contest: "
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Article
Insight and perspectives for Content Delivery Networks
(2006)Content delivery over the Web has become an important element of improving web performance. Content delivery Networks (CDN) has been proposed to maximize bandwidth, improve accessibility, and maintain correctness through ...
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Article
Investigating the relation between users' cognitive style and web navigation behavior with k-means clustering
(2012)This paper focuses on modeling users' cognitive style based on a set of Web usage mining techniques on navigation patterns and clickstream data. Main aim is to investigate whether k-means clustering can group users of ...
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Book
Knowledge and data management in GRIDs
(Springer, 2007)
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Article
Measurement of the ratios of branching fractions B(Bs0→Ds-π+)/ B(B0→D-π+) and B(B+→D̄0π+)/B(B0→D-π+)
(2006)We report an observation of the decay Bs0→Ds-π+ in pp̄ collisions at s=1.96TeV using 115pb-1 of data collected by the CDF II detector at the Fermilab Tevatron. We observe 83±11(stat) Bs0→Ds-π+ candidates, representing a ...
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Article
Model-based cluster analysis for Web users sessions
(2005)One of the main issues in Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of users' sessions and discovering association rules or frequent ...
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Doctoral Thesis Open Access
Online social networks analysis : extracting insights and evolution trends
(Πανεπιστήμιο Κύπρου, Σχολή Θετικών και Εφαρμοσμένων Επιστημών / University of Cyprus, Faculty of Pure and Applied Sciences, 2018-05)Οι πλατφόρμες κοινωνικής δικτύωσης (Online Social Networks) παρέχουν στον χρήστη τη δυνατότητα να αλληλεπιδρά, να εκφράζει και να μοιράζεται τις απόψεις, τα συναισθήματα και τα ενδιαφέροντά του με την οικογένεια, τους ...
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Article
Prefetching in content distribution networks via Web communities identification and outsourcing
(2008)Content distribution networks (CDNs) improve scalability and reliability, by replicating content to the "edge" of the Internet. Apart from the pure networking issues of the CDNs relevant to the establishment of the ...
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Article
A probabilistic reasoning approach for discovering web crawler sessions
(2007)In this paper we introduce a probabilistic-reasoning approach to detect Web robots (crawlers) from human visitors of Web sites. Our approach employs a Naive Bayes network to classify the HTTP sessions of a Web-server access ...
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Conference Object
A probabilistic validation algorithm for web users' clusters
(2004)Cluster analysis is one of the most important aspects in the data mining process for discovering groups and identifying interesting distributions or patterns over the considered data sets. In the context of Web data mining, ...