Relevant bibliographies by topics / Skyline

Academic literature on the topic 'Skyline'

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Published: 4 June 2021
Last updated: 27 January 2023

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Journal articles on the topic "Skyline"

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Vijaya Saradhi, T., K. Subrahmanyam, and Ch V. Phani Krishna. "Computing Subspace Skylines without Dominance Tests Using Set Interaction Approaches." International Journal of Electrical and Computer Engineering (IJECE) 5, no. 5 (October 1, 2015): 1188. http://dx.doi.org/10.11591/ijece.v5i5.pp1188-1193.

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Now a day’s preference answering plays major role in all crucial applications. If user wants to find top k–objects from a set of high dimensional data based on any monotonic function requires huge computation. One of the promising methods to compute preference set is <em>Skyline Technology.</em> Sky line computation returns the set objects that are not overruled by any other objects in n a multi dimensional space. If data is high dimensional, different users requests sky line set based on different dimensions. It requires subspace skyline computation. If objects are d-dimensional we need to compute skyline sets in 2d<sup> </sup>different subspaces, called as SKYLINE CUBE computation, which incurs lot of computation cost. In this paper we address the problem of finding subspace skyline computation with minimum effort by using simple set interaction methods. By that we can decrease the number of subspace skylines need to be searched to find full sky cube. In this paper we developed one algorithm which uses Boolean algebra rules, skyline lattice to reduce dominance test for preparing sub space skylines.
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Sessions, John, Kevin Lyons, and Jeff Wimer. "Maximizing the Standing Skyline Log Load Using a Variable Length Tagline." Forests 12, no. 7 (July 15, 2021): 927. http://dx.doi.org/10.3390/f12070927.

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The standing skyline continues to be a common cable logging configuration. In payload analysis it is usually assumed that the tagline (line connecting the logs to the carriage) length is held constant while yarding a turn up the skyline corridor. We show this assumption severely limits the skyline load-carrying capacity for skylines operating with partial suspension. We suggest that smart carriage technology could markedly increase the log load capacity through the use of a variable length tagline, and thus logging productivity. A methodology for estimating the log load capacity for a standing skyline with variable tagline length is presented. We illustrate that increases of 30–40 percent in log load are possible with a variable length tagline.
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Maslovskaya, Oksana, and Grigoriy Ignatov. "Conceptions of Height and Verticality in the History of Skyscrapers and Skylines." E3S Web of Conferences 33 (2018): 01005. http://dx.doi.org/10.1051/e3sconf/20183301005.

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The main goal of this article is to reveal the significance of height and verticality history of skyscrapers and skylines. The objectives are as follows: 1. trace the origin of design concepts related to skyscraper; 2. discuss the perceived experience of the cultural aspects of skyscrapers and skylines; 3. describe the differences and similarities of the profiles of with comparable skylines. The methodology of study is designed to explore the perceived theory and principals of skyscraper and skyline development phenomenon and its key features. The skyscraper reveals an assertive creative form of vertical design. Skyscraper construction also relates to the origin of ancient cultural symbolism as the dominant vertical element as the main features of an ordered space. The historical idea of height reaches back to the earliest civilization such as the Tower of Babel. Philosophical approaches of elements of such post-structuralism have been included in studying of skyscraper phenomenon. The analysis of skyscraper and their resulting skyline are examined to show the connection to their origins with their concepts of height and verticality. From the historical perspective, cities with skyscrapers and a skyline turn out to be an assertive manifestation of common ideas of height and verticality.
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Cooper, Jon. "Fractal assessment of street-level skylines: a possible means of assessing and comparing character." Urban Morphology 7, no. 2 (August 9, 2003): 73–82. http://dx.doi.org/10.51347/jum.v7i2.3905.

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Fractal analysis and the calculation of fractal dimension offers the potential for the numerical characterization of places by providing a synthetic measurement of place complexity. This paper provides a fractal analysis of street-scale urban skylines, linking the calculation of fractal dimension to the presence of the physical features making up a skyline. A technique for calculating skyline fractal dimensions is presented and suggestions are made about the use of fractal analysis in comparing the character of places.
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Mologni, Omar, Luca Marchi, Kevin C. Lyons, Stefano Grigolato, Raffaele Cavalli, and Dominik Röser. "Skyline Tensile Forces in Cable Logging." Croatian journal of forest engineering 42, no. 2 (January 14, 2021): 227–43. http://dx.doi.org/10.5552/crojfe.2021.722.

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Skyline tensile forces have been shown to frequently exceed the recommended safety limits during ordinary cable logging operations. Several models for skyline engineering analyses have been proposed. Although skyline tensile forces assume a dynamic behaviour, practical solutions are based on a static approach without consideration of the dynamic nature of the cable systems.The aim of this study was to compare field data of skyline tensile forces with the static calculations derived by dedicated available software such as SkylineXL. To overcome the limitation of static calculation, this work also aimed to simulate the actual response of the tensile fluctuations measured in the real environment by mean of a finite element model (FEM).Field observations of skyline tensile forces included 103 work cycles, recorded over four different cable lines in standing skyline configuration. Payload estimations, carriages positions, and time study of the logging operations were also collected in the field. The ground profiles and the cable line geometries were analysed using digital elevation models. The field data were then used to simulate the work cycles in SkylineXL. The dynamic response of six fully-suspended loads in a single-span cable line was also simulated by a dedicated FEM built through ANSYS®. The observed data and the software calculations were then compared.SkylineXL resulted particularly reliable in the prediction of the actual tensile forces, with RMSE ranging between 7.5 and 13.5 KN, linked to an average CV(RMSE) of 7.24%. The reliability in predicting the peak tensile forces was lower, reporting CV(RMSE) of 10.12%, but still not likely resulting in a safety or performance problem. If properly set-up and used, thus, SkylineXL could be considered appropriate for operational and practical purposes. This work, however, showed that finite element models could be successfully used for detailed analysis and simulation of the skyline tensile forces, including the dynamic oscillations due to the motion of the carriage and payload along the cable line. Further developments of this technique could also lead to the physical simulation and analysis of the log-to-ground interaction and the investigation of the breakout force during lateral skidding.
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Dong, Lei Gang, and Xiao Wei Cui. "Finding k-Dominant Skyline for Combined Dataset." Applied Mechanics and Materials 568-570 (June 2014): 1534–38. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.1534.

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The k-dominant skyline query which can return small result set in high dimensional space is very convenient for user to make decision. But all the existent algorithms are for single dataset, not suitable for two or more datasets being combined. To solve this problem, this paper proposed a new idea to get the newk-dominant skyline by computing the partial points of each dataset based on their existentk-dominant skylines. Furthermore, detailed theoretical analyses and extensive experiments demonstrate that the algorithms can effectively reduce redundant work, and keep the result correctly.
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Alvarez, Ignacio, and Laura Rumbel. "Skyline." International Journal of Mobile Human Computer Interaction 9, no. 3 (July 2017): 34–53. http://dx.doi.org/10.4018/ijmhci.2017070103.

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This paper describes the research and development process of an in-vehicle user experience using Skyline, an automotive prototyping platform created in Intel Labs to empower interaction designers and user experience researches to rapidly and iteratively develop and test in-vehicle user experience concepts. The paper describes the hardware and software components of Skyline in depth and how to configure them to suit individual researcher needs. The paper also presents a case study to exemplify the design making process that Skyline enables. From ideation to use-case creation, prototyping and validation through user assessment, the paper showcases the benefits of capturing early qualitative user feedback as support for rapid prototyping walking through a study titled Agency vs. Control and the associated interactions inside the cockpit. Ten defined use-cases are developed and integrated into a hero scenario in Skyline. High fidelity HMI concepts are tested and validated over the course of six months with feedback from a total of fifty users.
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Battulga, Lkhagvadorj, and Aziz Nasridinov. "Hierarchical Clustering Approach for Selecting Representative Skylines." Information 10, no. 3 (March 5, 2019): 96. http://dx.doi.org/10.3390/info10030096.

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Recently, the skyline query has attracted interest in a wide range of applications from recommendation systems to computer networks. The skyline query is useful to obtain the dominant data points from the given dataset. In the low-dimensional dataset, the skyline query may return a small number of skyline points. However, as the dimensionality of the dataset increases, the number of skyline points also increases. In other words, depending on the data distribution and dimensionality, most of the data points may become skyline points. With the emergence of big data applications, where the data distribution and dimensionality are a significant problem, obtaining representative skyline points among resulting skyline points is necessary. There have been several methods that focused on extracting representative skyline points with various success. However, existing methods have a problem of re-computation when the global threshold changes. Moreover, in certain cases, the resulting representative skyline points may not satisfy a user with multiple preferences. Thus, in this paper, we propose a new representative skyline query processing method, called representative skyline cluster (RSC), which solves the problems of the existing methods. Our method utilizes the hierarchical agglomerative clustering method to find the exact representative skyline points, which enable us to reduce the re-computation time significantly. We show the superiority of our proposed method over the existing state-of-the-art methods with various types of experiments.
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Hose, Katja. "Skyline Queries." Datenbank-Spektrum 16, no. 3 (July 6, 2016): 247–51. http://dx.doi.org/10.1007/s13222-016-0229-2.

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Chen, Yi-Chung, and Chiang Lee. "Neural skyline filter for accelerating skyline search algorithms." Expert Systems 32, no. 1 (January 17, 2014): 108–31. http://dx.doi.org/10.1111/exsy.12065.

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Dissertations / Theses on the topic "Skyline"

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Baker, Matthew S. "Skyline." VCU Scholars Compass, 2010. http://scholarscompass.vcu.edu/etd/46.

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Enclosed herein, in accordance with the requirements of the Department of English, College of Humanities and Sciences, and the VCU Graduate School, Virginia Commonwealth University, Richmond, Virginia, regarding thesis submission, arrangement, and abstraction, is the novel entitled Skyline, in which one Jameson Price, of Fredericksburg, Virginia, aged 19, embarks upon a journey of self-exploration, financial gain, and physical labor, and experiences for the first time (or maybe second) the tumults of love. Upon his enrolment in the Civilian Conservation Corps (CCC) in 1936, he is taken to Camp Saddleback, near New Puckett, Virginia, situated on the Blue Ridge Mountains to the east of the Shenandoah Valley. Here he assists in the creation of the Shenandoah National Park, and develops and explores relationships with fellow CCC boys and local residents—both positive and negative relationships, all with consequences that will affect all of their lives, forever.
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Gozzoli, Gianluca. "Geometric Gamma-skyline: un metodo efficiente per la computazione di skyline su dati aggregati." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/5036/.

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Kamnang, Wanko Patrick. "Optimisation des requêtes skyline multidimensionnelles." Thesis, Bordeaux, 2017. http://www.theses.fr/2017BORD0010/document.

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Dans le cadre de la sélection de meilleurs éléments au sein d’une base de données multidimensionnelle, plusieurs types de requêtes ont été définies. L’opérateur skyline présente l’avantage de ne pas nécessiter la définition d’une fonction de score permettant de classer lesdits éléments. Cependant, la propriété de monotonie que cet opérateur ne présente pas, rend non seulement (i) difficile l’optimisation de ses requêtes dans un contexte multidimensionnel, mais aussi (ii) presque imprévisible la taille du résultat des requêtes. Ce travail se propose, dans un premier temps, d’aborder la question de l’estimation de la taille du résultat d’une requête skyline donnée, en formulant des estimateurs présentant de bonnes propriétés statistiques(sans biais ou convergeant). Ensuite, il fournit deux approches différentes à l’optimisation des requêtes skyline. La première reposant sur un concept classique des bases de données qui est la dépendance fonctionnelle. La seconde se rapprochant des techniques de compression des données. Ces deux techniques trouvent leur place au sein de l’état de l’art comme le confortent les résultats expérimentaux.Nous abordons enfin la question de requêtes skyline au sein de données dynamiques en adaptant l’une de nos solutions précédentes dans cet intérêt
As part of the selection of the best items in a multidimensional database,several kinds of query were defined. The skyline operator has the advantage of not requiring the definition of a scoring function in order to classify tuples. However, the property of monotony that this operator does not satify, (i) makes difficult to optimize its queries in a multidimensional context, (ii) makes hard to estimate the size of query result. This work proposes, first, to address the question of estimating the size of the result of a given skyline query, formulating estimators with good statistical properties (unbiased or convergent). Then, it provides two different approaches to optimize multidimensional skyline queries. The first leans on a well known database concept: functional dependencies. And the second approach looks like a data compression method. Both algorithms are very interesting as confirm the experimental results. Finally, we address the issue of skyline queries in dynamic data by adapting one of our previous solutions in this goal
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Fu, Gregory Chung Yin. "Skyline queries in database systems /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?COMP%202003%20FU.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2003.
Includes bibliographical references (leaves 51-52). Also available in electronic version. Access restricted to campus users.
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Gudala, Satyaveer Goud. "Skyline queries for multi-criteria decision support systems." Kansas State University, 2011. http://hdl.handle.net/2097/13250.

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Master of Science
Department of Computing and Information Sciences
William H. Hsu
In decision-making applications, the Skyline query is used to find a set of non-dominated data points (called Skyline points) in a multi-dimensional dataset. A data point dominates another data point if it is at least as good as the other data point in all dimensions and better in at least one dimension. The skyline consists of data points not dominated by any other data point. Computing the skyline points of a dataset is essential for applications that involve multi-criteria decision making. Skyline queries filter out the interesting tuples from a potentially large dataset. No matter how we weigh our preferences along the attributes, only those tuples which score best under a monotone scoring function are part of the skyline. In other words, the skyline does not contain tuples which are nobody's favorite. With a growing number of real-world applications involving multi-criteria decision making over multiple dimensions, skyline queries can be used to answer those problems accurately and efficiently. This report mainly focuses on various skyline computing algorithms which can be used for online processing efficiently and are suitable to present multi-criteria decision making scenario. I implemented the Branch-and-Bound skyline Algorithm on two different data sets; one is a synthetic dataset and the other is a real dataset. My aim is to explore various subspaces of a given dataset and compute skylines over them, especially those subspace skylines which contain the least number of the skyline points.
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Miller, Nathan D. "Adapting the Skyline Operator in the NetFPGA Platform." Youngstown State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1369586333.

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Elmi, Saïda. "An Advanced Skyline Approach for Imperfect Data Exploitation and Analysis." Thesis, Chasseneuil-du-Poitou, Ecole nationale supérieure de mécanique et d'aérotechnique, 2017. http://www.theses.fr/2017ESMA0011/document.

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Ce travail de thèse porte sur un modèle de requête de préférence, appelée l'opérateur Skyline, pour l'exploitation de données imparfaites. L'imperfection de données peut être modélisée au moyen de la théorie de l'évidence. Ce type de données peut être géré dans des bases de données imparfaites appelées bases de données évidentielles. D'autre part, l'opérateur skyline est un outil puissant pour extraire les objets les plus intéressants dans une base de données.Dans le cadre de cette thèse, nous définissons une nouvelle sémantique de l'opérateur Skyline appropriée aux données imparfaites modélisées par la théorie de l'évidence. Nous introduisons par la suite la notion de points marginaux pour optimiser le calcul distribué du Skyline ainsi que la maintenance des objets Skyline en cas d'insertion ou de suppression d'objets dans la base de données.Nous modélisons aussi une fonction de score pour mesurer le degré de dominance de chaque objet skyline et définir le top-k Skyline. Une dernière contribution porte sur le raffinement de la requête Skyline pour obtenir les meilleurs objets skyline appelés objets Etoile ou Skyline stars
The main purpose of this thesis is to study an advanced database tool named the skyline operator in the context of imperfect data modeled by the evidence theory. In this thesis, we first address, on the one hand, the fundamental question of how to extend the dominance relationship to evidential data, and on the other hand, it provides some optimization techniques for improving the efficiency of the evidential skyline. We then introduce efficient approach for querying and processing the evidential skyline over multiple and distributed servers. ln addition, we propose efficient methods to maintain the skyline results in the evidential database context wben a set of objects is inserted or deleted. The idea is to incrementally compute the new skyline, without reconducting an initial operation from the scratch. In the second step, we introduce the top-k skyline query over imperfect data and we develop efficient algorithms its computation. Further more, since the evidential skyline size is often too large to be analyzed, we define the set SKY² to refine the evidential skyline and retrieve the best evidential skyline objects (or the stars). In addition, we develop suitable algorithms based on scalable techniques to efficiently compute the evidential SKY². Extensive experiments were conducted to show the efficiency and the effectiveness of our approaches
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Srivastava, Shweta. "Look Before You Leap: An Adaptive Processing Strategy For Multi-Criteria Decision Support Queries." Digital WPI, 2011. https://digitalcommons.wpi.edu/etd-theses/190.

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In recent years, we have witnessed a massive acquisition of data and increasing need to support multi-criteria decision support (MCDS) queries efficiently. Pareto-optimal also known as skyline queries is a popular class of MCDS queries and has received a lot of attention resulting in a flurry of efficient skyline algorithms. The vast majority of such algorithms focus entirely on the input being a single data set. In this work, we provide an adaptive query evaluation technique --- AdaptiveSky that is able to reason at different levels of abstraction thereby effectively minimizing the two primary costs, namely the cost of generating join results and the cost of dominance comparisons to compute the final skyline of the join results. Our approach hinges on two key principles. First, in the input space -- we determine the abstraction levels dynamically at run time instead of assigning a static one at compile time that may or may not work for different data distributions. This is achieved by adaptively partitioning the input data as intermediate results are being generated thereby eliminating the need to access vast majority of the input tuples. Second, we incrementally build the output space, containing the final skyline, without generating a single join result. Our approach is able to reason about the final result space and selectively drill into regions in the output space that show promise in generating result tuples to avoid generation of results that do not contribute to the query result. In this effort, we propose two alternate strategies for reasoning, namely the Euclidean Distance method and the cost-benefit driven Dominance Potential method for reasoning. Our experimental evaluation demonstrates that AdaptiveSky shows superior performance over state-of-the-art techniques over benchmark data sets.
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Samara, Rafat. "TOP-K AND SKYLINE QUERY PROCESSING OVER RELATIONAL DATABASE." Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH. Forskningsmiljö Informationsteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-20108.

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Top-k and Skyline queries are a long study topic in database and information retrieval communities and they are two popular operations for preference retrieval. Top-k query returns a subset of the most relevant answers instead of all answers. Efficient top-k processing retrieves the k objects that have the highest overall score. In this paper, some algorithms that are used as a technique for efficient top-k processing for different scenarios have been represented. A framework based on existing algorithms with considering based cost optimization that works for these scenarios has been presented. This framework will be used when the user can determine the user ranking function. A real life scenario has been applied on this framework step by step. Skyline query returns a set of points that are not dominated (a record x dominates another record y if x is as good as y in all attributes and strictly better in at least one attribute) by other points in the given datasets. In this paper, some algorithms that are used for evaluating the skyline query have been introduced. One of the problems in the skyline query which is called curse of dimensionality has been presented. A new strategy that based on the skyline existing algorithms, skyline frequency and the binary tree strategy which gives a good solution for this problem has been presented. This new strategy will be used when the user cannot determine the user ranking function. A real life scenario is presented which apply this strategy step by step. Finally, the advantages of the top-k query have been applied on the skyline query in order to have a quickly and efficient retrieving results.
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Zhang, Shiming, and 张世明. "Scalable skyline evaluation in multidimensional and partially ordered domains." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B46973916.

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Books on the topic "Skyline"

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Schonstein, Patricia. Skyline. Cape Town: David Philip, 2000.

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Skyline. San Cesario di Lecce (Lecce): Manni, 2009.

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Western skyline. Oakland, Calif: Regent Press, 1995.

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McMurray, Alan. Over the skyline. London: Falcon, 1998.

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al, et, and Fuscoe. Skyline. Macmillan ELT, 2002.

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al, et, and M. Rogers. Skyline. Macmillan ELT, 2002.

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Skyline. Macmillan ELT, 2001.

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Davies, Paul, Simon Brewster, and Mickey Rogers. Skyline. Macmillan ELT, 2001.

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al, et, and ROGERS. Skyline. Macmillan ELT, 2002.

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Al, Rogers Et. Skyline. Macmillan ELT, 2001.

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Book chapters on the topic "Skyline"

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Thakur, Nilu. "Skyline Queries." In Encyclopedia of GIS, 1–9. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23519-6_1221-2.

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Thakur, Nilu. "Skyline Queries." In Encyclopedia of GIS, 1897–905. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-17885-1_1221.

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Thakur, Nilu. "Skyline Queries." In Encyclopedia of GIS, 1056–62. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_1221.

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Endres, Markus, and Werner Kießling. "Skyline Snippets." In Flexible Query Answering Systems, 246–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24764-4_22.

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Kim, Jinhan, Jongwuk Lee, and Seung-won Hwang. "Skyline View: Efficient Distributed Subspace Skyline Computation." In Data Warehousing and Knowledge Discovery, 312–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03730-6_25.

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Gassner, Günter. "The new London skyline." In Ruined Skylines, 1–4. New York : Routledge, 2019. | Series: Routledge research inarchitecture: Routledge, 2019. http://dx.doi.org/10.4324/9781315105895-1.

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Dumm, Thomas L. "The Invisible Skyline." In Jean Baudrillard, 109–27. London: Palgrave Macmillan UK, 1992. http://dx.doi.org/10.1007/978-1-349-21844-8_9.

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El-Dawy, Eman, Hoda M. O. Mokhtar, and Ali El-Bastawissy. "Directional Skyline Queries." In Data and Knowledge Engineering, 15–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34679-8_2.

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Vlachou, Akrivi, Christos Doulkeridis, Kjetil Nørvåg, and Yannis Kotidis. "Subspace Skyline Queries." In Peer-to-Peer Query Processing over Multidimensional Data, 43–61. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-2110-8_6.

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Guo, Xi, Chuan Xiao, and Yoshiharu Ishikawa. "Combination Skyline Queries." In Transactions on Large-Scale Data- and Knowledge-Centered Systems VI, 1–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34179-3_1.

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Conference papers on the topic "Skyline"

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Babanejad Dehaki, Ghoncheh, Hamidah Ibrahim, Nur Izura Udzir, Fatimah Sidi, and Ali Amer Alwan. "A Fragmentation Region-based Skyline Computation Framework for a Group of Users." In International Conference on AI, Machine Learning and Applications (AIMLA 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.111303.

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Skyline processing, an established preference evaluation technique, aims at discovering the best, most preferred objects, i.e. those that are not dominated by other objects, in satisfying the user’s preferences. In today’s society, due to the advancement of technology, ad-hoc meetings or impromptu gathering are becoming more and more common. Deciding on a suitable meeting point (object)for a group of people (users) to meet is not a straightforward task especially when these users are located at different places with distinct preferences. A place which is close by to the users might not provide the facilities/services that meet all the users’ preferences; while a place having the facilities/services that meet most of the users’ preferences might be too distant from these users. Although the skyline operator can be utilised to filter the dominated objects among the objects that fall in the region of interest of these users, computing the skylines for various groups of users in similar region would mean rescanning the objects of the region and repeating the process of pair wise comparisons among the objects which are undoubtedly unwise. On this account, this study presents a region-based skyline computation framework which attempts to resolve the above issues by fragmenting the search region of a group of users and utilising the past computed skyline results of the fragments. The skylines, which are the objects recommended to be visited by a group of users, are derived by analysing both the locations of the users, i.e. spatial attributes, as well as the spatial and non-spatial attributes of the objects. Several experiments have been conducted and the results show that our proposed framework outperforms the previous works with respect to CPU time.
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Alvarez, Ignacio, Laura Rumbel, and Robert Adams. "Skyline." In AutomotiveUI '15: The 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2799250.2799290.

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Hsu, Wan Ting, Yu Ting Wen, Ling Yin Wei, and Wen Chih Peng. "Skyline Travel Routes: Exploring Skyline for Trip Planning." In 2014 15th IEEE International Conference on Mobile Data Management (MDM). IEEE, 2014. http://dx.doi.org/10.1109/mdm.2014.64.

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Dzolkhifli, Zarina, Hamidah Ibrahim, Fatimah Sidi, Lilly Suriani Affendey, Siti Nurulain Mohd Rum, and Ali A. Alwan. "Efficient Skyline Computation of Multiple Range Skyline Queries." In iiWAS2021: The 23rd International Conference on Information Integration and Web Intelligence. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3487664.3487718.

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Hsueh, Yu-Ling, Roger Zimmermann, Wei-Shinn Ku, and Yifan Jin. "SkyEngine: Efficient Skyline search engine for Continuous Skyline computations." In 2011 IEEE International Conference on Data Engineering (ICDE 2011). IEEE, 2011. http://dx.doi.org/10.1109/icde.2011.5767944.

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Liu, Jinfei, Juncheng Yang, Li Xiong, Jian Pei, and Jun Luo. "Skyline Diagram: Finding the Voronoi Counterpart for Skyline Queries." In 2018 IEEE 34th International Conference on Data Engineering (ICDE). IEEE, 2018. http://dx.doi.org/10.1109/icde.2018.00065.

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Müller, Kathryn, Helen Harris, and Vanessa Ruhlig. "The skyline theatre." In the 13th Participatory Design Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2662155.2662217.

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Lin, Xuemin, Ying Zhang, Wenjie Zhang, and Muhammad Aamir Cheema. "Stochastic skyline operator." In 2011 IEEE International Conference on Data Engineering (ICDE 2011). IEEE, 2011. http://dx.doi.org/10.1109/icde.2011.5767896.

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Zhu, Haoyang, Peidong Zhu, Xiaoyong Li, and Qiang Liu. "Computing skyline groups." In the ACM Turing 50th Celebration Conference - China. New York, New York, USA: ACM Press, 2017. http://dx.doi.org/10.1145/3063955.3064804.

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Li, Chengkai, Nan Zhang, Naeemul Hassan, Sundaresan Rajasekaran, and Gautam Das. "On skyline groups." In the 21st ACM international conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2396761.2398585.

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Reports on the topic "Skyline"

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Twito, R. H., R. J. McGaughey, and S. E. Reutebuch. The SKYTOWER and SKYMOBILE programs for locating and designing skyline harvest units. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 1988. http://dx.doi.org/10.2737/pnw-gtr-215.

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Schroeder, W. L., and D. N. Swanston. Installation and use of epoxy-grouted rock anchors for skyline logging in southeast Alaska. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 1992. http://dx.doi.org/10.2737/pnw-gtr-297.

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Logger killed as skyline cable whips free of slash pile. U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, October 2003. http://dx.doi.org/10.26616/nioshsface03or007.

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Walk-through survey report: control technology for mine assay laboratories at Skyline Laboratories, Inc., Wheat Ridge, Colorado. U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, February 1994. http://dx.doi.org/10.26616/nioshectb19814a.

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In-depth survey report: control technology for mine assay laboratories at Skyline Laboratories, Inc., Wheat Ridge, Colorado. U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, May 1994. http://dx.doi.org/10.26616/nioshectb19814b.

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