Relevant bibliographies by topics / Skyline queries

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Skyline queries'

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

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Journal articles on the topic "Skyline queries"

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Hose, Katja. "Skyline Queries." Datenbank-Spektrum 16, no. 3 (2016): 247–51. http://dx.doi.org/10.1007/s13222-016-0229-2.

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Xin, Junchang, Zhiqiong Wang, Mei Bai, and Guoren Wang. "Reverse Skyline Computation over Sliding Windows." Mathematical Problems in Engineering 2015 (2015): 1–19. http://dx.doi.org/10.1155/2015/649271.

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Reverse skyline queries have been used in many real-world applications such as business planning, market analysis, and environmental monitoring. In this paper, we investigated how to efficiently evaluate continuous reverse skyline queries over sliding windows. We first theoretically analyzed the inherent properties of reverse skyline on data streams and proposed a novel pruning technique to reduce the number of data points preserved for processing continuous reverse skyline queries. Then, an efficient approach, called Semidominance Based Reverse Skyline (SDRS), was proposed to process continuo
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Lee, Jongwuk, Gae-won You, Seung-won Hwang, Joachim Selke, and Wolf-Tilo Balke. "Interactive skyline queries." Information Sciences 211 (November 2012): 18–35. http://dx.doi.org/10.1016/j.ins.2012.04.007.

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Afrati, Foto N., Paraschos Koutris, Dan Suciu, and Jeffrey D. Ullman. "Parallel Skyline Queries." Theory of Computing Systems 57, no. 4 (2015): 1008–37. http://dx.doi.org/10.1007/s00224-015-9627-3.

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Ruan, Pei Qi, Chuan Wei Xu, Ji Ting Huang, Lun Ke Qing, and Chang Qing Ji. "A Distributed Algorithm for Skyline Query Based on Pre-Clustering." Advanced Materials Research 756-759 (September 2013): 3982–86. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.3982.

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With the increasing availability and mobile application of LBS (Location-Based Services), large scale spatial objects remind challenge in cloud environments. In order to retrieve a few data items within a very large structured data set, skyline queries are utilized to optimize a single respectively multiple criteria. In this paper, we develop a new pre-clustering-based skyline queries technique to address the skewed distribution problem. We also present distributed approaches that construct grid index and process skyline queries. We evaluate the effectiveness of our algorithms with extensive e
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Liu, Jinfei, Juncheng Yang, Li Xiong, et al. "Skyline Diagram: Efficient Space Partitioning for Skyline Queries." IEEE Transactions on Knowledge and Data Engineering 33, no. 1 (2021): 271–86. http://dx.doi.org/10.1109/tkde.2019.2923914.

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Siddique, Md Anisuzzaman, Hao Tian, Mahboob Qaosar, and Yasuhiko Morimoto. "MapReduce Algorithm for Variants of Skyline Queries: Skyband and Dominating Queries." Algorithms 12, no. 8 (2019): 166. http://dx.doi.org/10.3390/a12080166.

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The skyline query and its variant queries are useful functions in the early stages of a knowledge-discovery processes. The skyline query and its variant queries select a set of important objects, which are better than other common objects in the dataset. In order to handle big data, such knowledge-discovery queries must be computed in parallel distributed environments. In this paper, we consider an efficient parallel algorithm for the “K-skyband query” and the “top-k dominating query”, which are popular variants of skyline query. We propose a method for computing both queries simultaneously in
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Lougmiri, Zekri. "A New Progressive Method for Computing Skyline Queries." Journal of Information Technology Research 10, no. 3 (2017): 1–21. http://dx.doi.org/10.4018/jitr.2017070101.

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Skyline queries are important in many fields, especially for decision making. In this context, objects or tuples of databases are defined according to some numerical and non numerical attributes. The skyline operator acts on the numerical ones. The algorithms that implements this skyline operator are genrally of progressive or non progressive. The progressive ones return the skyline operator during its execution while non preogressive alogrithms return the result at the end of its execution. This paper presents a new progressive algorithm for computing the skyline points. This algorithm is bas
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De Lorenzis, Emilio, and Davide Martinenghi. "Partitioning Strategies for Parallel Computation of Flexible Skylines." Algorithms 18, no. 3 (2025): 141. https://doi.org/10.3390/a18030141.

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While classical skyline queries identify interesting data within large datasets, flexible skylines introduce preferences through constraints on attribute weights, and further reduce the data returned. However, computing these queries can be time-consuming for large datasets. We propose and implement a parallel computation scheme consisting of a parallel phase followed by a sequential phase, and apply it to flexible skylines. We assess the additional effect of an initial filtering phase to reduce dataset size before parallel processing, and the elimination of the sequential part (the most time-
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Bavirthi, Swathi Sowmya, and Supreethi K. P. "Systematic Review of Indexing Spatial Skyline Queries for Decision Support." International Journal of Decision Support System Technology 14, no. 1 (2022): 1–15. http://dx.doi.org/10.4018/ijdsst.286685.

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Residing in the data age, researchers inferred that huge amount of geo-tagged data is available and identified the importance of Spatial Skyline queries. Spatial or geographic location in conjunction with textual relevance plays a key role in searching Point of Interest (POI) of the user. Efficient indexing techniques like R-Tree, Quad Tree, Z-order curve and variants of these trees are widely available in terms of spatial context. Inverted file is the popular indexing technique for textual data. As Spatial skyline query aims at analyzing both spatial and skyline dominance, there is a necessit
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Dissertations / Theses on the topic "Skyline queries"

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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.<br>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<br>Department of Computing and Information Sciences<br>William H. Hsu<br>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 que
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Lampariello, Laura. "Indicatori originali per caratterizzare la rilevanza dei punti dello Skyline." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022.

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La quantità sempre crescente di informazioni disponibili è uno dei maggiori problemi dei sistemi informativi di oggi. Oltre a restituire velocemente i risultati dell’interrogazione, è fondamentale fornire un accesso personalizzato e su misura all’utente finale. Poiché gli attuali sistemi in uso (Query Top-k) presentano delle indubbie limitazioni, cioè non riescono fedelmente a interpretare i desideri dell’utente, si introducono per la prima volta dei nuovi indicatori. Questi nuovi indicatori, applicati ai punti estratti, caratterizzano tutti quei casi di “buon compromesso” che sono difficili
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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 primar
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Raghavan, Venkatesh. "Supporting Multi-Criteria Decision Support Queries over Disparate Data Sources." Digital WPI, 2012. https://digitalcommons.wpi.edu/etd-dissertations/120.

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In the era of "big data revolution," marked by an exponential growth of information, extracting value from data enables analysts and businesses to address challenging problems such as drug discovery, fraud detection, and earthquake predictions. Multi-Criteria Decision Support (MCDS) queries are at the core of big-data analytics resulting in several classes of MCDS queries such as OLAP, Top-K, Pareto-optimal, and nearest neighbor queries. The intuitive nature of specifying multi-dimensional preferences has made Pareto-optimal queries, also known as skyline queries, popular. Existing skyline alg
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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 modélis
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Alami, Karim. "Optimisation des requêtes de préférence skyline dans des contextes dynamiques." Thesis, Bordeaux, 2020. http://www.theses.fr/2020BORD0135.

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Les requêtes de préférence sont des outils intéressants pour calculer des sous-ensembles représentatifs d'ensembles de données en entrée ou pour classer les tuples en fonction des préférences des utilisateurs. Dans cette thèse, nous abordons principalement l'optimisation des requêtes Skyline, une classe spéciale des requêtes de préférence, dans des contextes dynamiques. Dans une première partie, nous abordons la maintenance incrémentale de la structure d'indexation multidimensionnelle NSC qui a été démontrée efficace pour répondre aux requêtes skyline dans un contexte statique. Plus précisémen
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Abidi, Amna. "Imperfect RDF Databases : From Modelling to Querying." Thesis, Chasseneuil-du-Poitou, Ecole nationale supérieure de mécanique et d'aérotechnique, 2019. http://www.theses.fr/2019ESMA0008/document.

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L’intérêt sans cesse croissant des données RDF disponibles sur le Web a conduit à l’émergence de multiple et importants efforts de recherche pour enrichir le formalisme traditionnel des données RDF à des fins d’exploitation et d’analyse. Le travail de cette thèse s’inscrit dans la continuation de ces efforts en abordant la problématique de la gestion des données RDF en présence d’imperfections (manque de confiance/validité, incertitude, etc.). Les contributions de la thèse sont comme suit: (1) Nous avons proposé d’appliquer l’opérateur skyline sur les données RDF pondérées par des mesures de c
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Yuan, Yidong Computer Science &amp Engineering Faculty of Engineering UNSW. "Efficient computation of advanced skyline queries." 2007. http://handle.unsw.edu.au/1959.4/40511.

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Skyline has been proposed as an important operator for many applications, such as multi-criteria decision making, data mining and visualization, and user-preference queries. Due to its importance, skyline and its computation have received considerable attention from database research community recently. All the existing techniques, however, focus on the conventional databases. They are not applicable to online computation environment, such as data stream. In addition, the existing studies consider efficiency of skyline computation only, while the fundamental problem on the semantics of skylin
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Chia-HengChang and 張嘉恒. "Continuous Skyline Queries in Road Networks." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/43915730531332275302.

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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>98<br>The skyline query is an efficient tool for preference-based data analysis and attracts more attention than ever in the database community. Given a set of d-dimensional objects D, a skyline query retrieves all objects from D, which cannot be dominated by any others in D. In this paper, we investigate how to process the skyline query in road network, where the road distance between objects needs to be considered in query processing. Different from the previous related works, our work focuses on processing the continuous distance-based skyline query. We present
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Books on the topic "Skyline queries"

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Papadopoulos, Apostolos N., Eleftherios Tiakas, Theodoros Tzouramanis, Nikolaos Georgiadis, and Yannis Manolopoulos. Skylines and Other Dominance-Based Queries. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-031-01876-3.

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Papadopoulos, Apostolos N., Yannis Manolopoulos, Eleftherios Tiakas, Theodoros Tzouramanis, and Nikolaos Georgiadis. Skylines and Other Dominance-Based Queries. Morgan & Claypool Publishers, 2020.

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Papadopoulos, Apostolos N., Yannis Manolopoulos, Eleftherios Tiakas, Theodoros Tzouramanis, and Nikolaos Georgiadis. Skylines and Other Dominance-Based Queries. Morgan & Claypool Publishers, 2020.

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Papadopoulos, Apostolos N., Yannis Manolopoulos, Eleftherios Tiakas, Theodoros Tzouramanis, and Nikolaos Georgiadis. Skylines and Other Dominance-Based Queries. Morgan & Claypool Publishers, 2020.

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Papadopoulos, Apostolos N., Yannis Manolopoulos, Eleftherios Tiakas, Theodoros Tzouramanis, and Nikolaos Georgiadis. Skylines and Other Dominance-Based Queries. Springer International Publishing AG, 2020.

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Book chapters on the topic "Skyline queries"

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

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El-Dawy, Eman, Hoda M. O. Mokhtar, and Ali El-Bastawissy. "Directional Skyline Queries." In Data and Knowledge Engineering. 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. 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. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34179-3_1.

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Papadopoulos, Apostolos N., Eleftherios Tiakas, Theodoros Tzouramanis, Nikolaos Georgiadis, and Yannis Manolopoulos. "Variations of Skyline Queries." In Skylines and Other Dominance-Based Queries. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-031-01876-3_3.

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Emrich, Tobias, Maximilian Franzke, Nikos Mamoulis, Matthias Renz, and Andreas Züfle. "Geo-Social Skyline Queries." In Database Systems for Advanced Applications. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05813-9_6.

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Jaudoin, Hélène, Olivier Pivert, and Daniel Rocacher. "Exception-Tolerant Skyline Queries." In Information Processing and Management of Uncertainty in Knowledge-Based Systems. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08852-5_13.

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Bosc, Patrick, Allel Hadjali, and Olivier Pivert. "On Possibilistic Skyline Queries." In Flexible Query Answering Systems. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24764-4_36.

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Conference papers on the topic "Skyline queries"

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Mohamud, Mudathir Ahmed, Hamidah Ibrahim, Fatimah Sidi, and Siti Nurulain Mohd Rum. "An Efficient Skyline Model for Processing Multiple Continuous Skyline Queries over Uncertain Data Stream." In 2024 IEEE 22nd Student Conference on Research and Development (SCOReD). IEEE, 2024. https://doi.org/10.1109/scored64708.2024.10872631.

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Damarjati, Cahya, Galang Wicaksana, Slamet Suripto, Heri Wijayanto, Haris Setyawan, and Hsing-Chung Chen. "University Department Recommendations Using Subject-Score-Based Skyline Queries." In 2024 International Conference on Information Technology and Computing (ICITCOM). IEEE, 2024. https://doi.org/10.1109/icitcom62788.2024.10762120.

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Yin, Bo, Hang Chen, Binyao Xu, Mariam Suleiman Silima, and Ke Gu. "Efficient and Verifiable Dynamic Skyline Queries in Blockchain Networks." In 2024 IEEE 23rd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). IEEE, 2024. https://doi.org/10.1109/trustcom63139.2024.00214.

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Zheng, Liming, Wenhui Sun, and YanQiu Yang. "A Parallel Processing Method for Skyline Queries with Uncertain Preferences." In 2024 IEEE 4th International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA). IEEE, 2024. https://doi.org/10.1109/iciba62489.2024.10868038.

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Chen, Wei-Hong, and Chuan-Chi Lai. "Distributed Edge Computing Combined with Reinforcement Learning for Low-Latency Probabilistic Skyline Queries." In 2024 VTS Asia Pacific Wireless Communications Symposium (APWCS). IEEE, 2024. http://dx.doi.org/10.1109/apwcs61586.2024.10679292.

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Böhm, Christian, Frank Fiedler, Annahita Oswald, Claudia Plant, and Bianca Wackersreuther. "Probabilistic skyline queries." In Proceeding of the 18th ACM conference. ACM Press, 2009. http://dx.doi.org/10.1145/1645953.1646037.

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Afrati, Foto N., Paraschos Koutris, Dan Suciu, and Jeffrey D. Ullman. "Parallel skyline queries." In the 15th International Conference. ACM Press, 2012. http://dx.doi.org/10.1145/2274576.2274605.

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Tiakas, Eleftherios, Apostolos N. Papadopoulos, and Yannis Manolopoulos. "Skyline queries: An introduction." In 2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA). IEEE, 2015. http://dx.doi.org/10.1109/iisa.2015.7388053.

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"Materializing Distributed Skyline Queries." In International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004794203720379.

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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. ACM, 2021. http://dx.doi.org/10.1145/3487664.3487718.

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Reports on the topic "Skyline queries"

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Borgwardt, Stefan, Bettina Fazzinga, Thomas Lukasiewicz, Akanksha Shrivastava, and Oana Tifrea-Marciuska. Preferential Query Answering in the Semantic Web with Possibilistic Networks. Technische Universität Dresden, 2016. http://dx.doi.org/10.25368/2023.219.

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In this paper, we explore how ontological knowledge expressed via existential rules can be combined with possibilistic networks (i) to represent qualitative preferences along with domain knowledge, and (ii) to realize preference-based answering of conjunctive queries (CQs). We call these combinations ontological possibilistic networks (OP-nets). We define skyline and k-rank answers to CQs under preferences and provide complexity (including data tractability) results for deciding consistency and CQ skyline membership for OP-nets. We show that our formalism has a lower complexity than a similar
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