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Статті в журналах з теми "Skyline queries"
Hose, Katja. "Skyline Queries." Datenbank-Spektrum 16, no. 3 (July 6, 2016): 247–51. http://dx.doi.org/10.1007/s13222-016-0229-2.
Повний текст джерелаAfrati, Foto N., Paraschos Koutris, Dan Suciu, and Jeffrey D. Ullman. "Parallel Skyline Queries." Theory of Computing Systems 57, no. 4 (April 16, 2015): 1008–37. http://dx.doi.org/10.1007/s00224-015-9627-3.
Повний текст джерелаLee, 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.
Повний текст джерелаXin, 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.
Повний текст джерелаRuan, 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.
Повний текст джерелаLiu, Jinfei, Juncheng Yang, Li Xiong, Jian Pei, Jun Luo, Yuzhang Guo, Shuaicheng Ma, and Chenglin Fan. "Skyline Diagram: Efficient Space Partitioning for Skyline Queries." IEEE Transactions on Knowledge and Data Engineering 33, no. 1 (January 1, 2021): 271–86. http://dx.doi.org/10.1109/tkde.2019.2923914.
Повний текст джерелаSiddique, Md Anisuzzaman, Hao Tian, Mahboob Qaosar, and Yasuhiko Morimoto. "MapReduce Algorithm for Variants of Skyline Queries: Skyband and Dominating Queries." Algorithms 12, no. 8 (August 13, 2019): 166. http://dx.doi.org/10.3390/a12080166.
Повний текст джерелаLougmiri, Zekri. "A New Progressive Method for Computing Skyline Queries." Journal of Information Technology Research 10, no. 3 (July 2017): 1–21. http://dx.doi.org/10.4018/jitr.2017070101.
Повний текст джерелаBavirthi, 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 (January 2022): 1–15. http://dx.doi.org/10.4018/ijdsst.286685.
Повний текст джерелаCiaccia, Paolo, and Davide Martinenghi. "Reconciling skyline and ranking queries." Proceedings of the VLDB Endowment 10, no. 11 (August 2017): 1454–65. http://dx.doi.org/10.14778/3137628.3137653.
Повний текст джерелаДисертації з теми "Skyline queries"
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.
Повний текст джерелаIncludes bibliographical references (leaves 51-52). Also available in electronic version. Access restricted to campus users.
Gudala, Satyaveer Goud. "Skyline queries for multi-criteria decision support systems." Kansas State University, 2011. http://hdl.handle.net/2097/13250.
Повний текст джерелаDepartment 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.
Lampariello, Laura. "Indicatori originali per caratterizzare la rilevanza dei punti dello Skyline." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022.
Знайти повний текст джерелаSrivastava, 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.
Повний текст джерелаRaghavan, Venkatesh. "Supporting Multi-Criteria Decision Support Queries over Disparate Data Sources." Digital WPI, 2012. https://digitalcommons.wpi.edu/etd-dissertations/120.
Повний текст джерелаAlami, Karim. "Optimisation des requêtes de préférence skyline dans des contextes dynamiques." Thesis, Bordeaux, 2020. http://www.theses.fr/2020BORD0135.
Повний текст джерелаPreference queries are interesting tools to compute small representatives of datasets or to rank tuples based on the users’ preferences. In this thesis, we mainly focus on the optimization of Skyline queries, a special class of preference queries, in dynamic contexts. In a first part, we address the incremental maintenance of the multidimensional indexing structure NSC which has been shown efficient for answering skyline queries in a static context. More precisely, we address (i) the case of dynamic data, i.e. tuples are inserted or deleted at any time, and (ii) the case of streaming data, i.e. tuples are appended only, and discarded after a specific interval of time. In case of dynamic data, we redesign the structure and propose procedures to handle efficiently both insertions and deletions. In case of streaming data, we propose MSSD a data pipeline which operates in batch mode, and maintains NSCt a variation of NSC. In a second part, we address the case of dynamic orders, i.e, some or all attributes of the dataset are nominal and each user expresses his/her own partial order on these attributes’ domain. We propose highly scalable parallel algorithms that decompose an issued query into a set of sub-queries and process each sub-query independently. In a further step for optimization, we propose the partial materialization of sub-queries and introduce the problem of cost-driven sub-queries selection
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.
Повний текст джерелаThe 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
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.
Повний текст джерелаThe ever-increasing interest of RDF data on the Web has led to several and important research efforts to enrich traditional RDF data formalism for the exploitation and analysis purpose. The work of this thesis is a part of the continuation of those efforts by addressing the issue of RDF data management in presence of imperfection (untruthfulness, uncertainty, etc.). The main contributions of this dissertation are as follows. (1) We tackled the trusted RDF data model. Hence, we proposed to extend the skyline queries over trust RDF data, which consists in extracting the most interesting trusted resources according to user-defined criteria. (2) We studied via statistical methods the impact of the trust measure on the Trust-skyline set.(3) We integrated in the structure of RDF data (i.e., subject-property-object triple) a fourth element expressing a possibility measure to reflect the user opinion about the truth of a statement.To deal with possibility requirements, appropriate framework related to language is introduced, namely Pi-SPARQL, that extends SPARQL to be possibility-aware query language.Finally, we studied a new skyline operator variant to extract possibilistic RDF resources that are possibly dominated by no other resources in the sense of Pareto optimality
Yuan, Yidong Computer Science & Engineering Faculty of Engineering UNSW. "Efficient computation of advanced skyline queries." 2007. http://handle.unsw.edu.au/1959.4/40511.
Повний текст джерелаChia-HengChang and 張嘉恒. "Continuous Skyline Queries in Road Networks." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/43915730531332275302.
Повний текст джерела國立成功大學
資訊工程學系碩博士班
98
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 two novel and important query types, named the Continuous d"-Skyline Query (Cd"-SQ for short) and the Continuous k nearest neighbor-Skyline Query (Cknn-SQ for short). To efficiently process the Cd"-SQ and Cknn-SQ in road network, we first design a grid index to manage the information of road network and objects, and then develop several algorithms combined with the grid index to determine the query result. Finally, we conduct a comprehensive set of experiments to demonstrate the effectiveness and the effciency of the proposed approaches.
Частини книг з теми "Skyline queries"
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.
Повний текст джерелаThakur, 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.
Повний текст джерелаThakur, 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.
Повний текст джерелаVlachou, 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.
Повний текст джерелаGuo, 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.
Повний текст джерелаEl-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.
Повний текст джерелаBosc, Patrick, Allel Hadjali, and Olivier Pivert. "On Possibilistic Skyline Queries." In Flexible Query Answering Systems, 412–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24764-4_36.
Повний текст джерелаJaudoin, Hélène, Olivier Pivert, and Daniel Rocacher. "Exception-Tolerant Skyline Queries." In Information Processing and Management of Uncertainty in Knowledge-Based Systems, 120–29. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08852-5_13.
Повний текст джерелаEmrich, Tobias, Maximilian Franzke, Nikos Mamoulis, Matthias Renz, and Andreas Züfle. "Geo-Social Skyline Queries." In Database Systems for Advanced Applications, 77–91. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05813-9_6.
Повний текст джерелаSu, I.-Fang, Yu-Chi Chung, and Chiang Lee. "Top-k Combinatorial Skyline Queries." In Database Systems for Advanced Applications, 79–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12098-5_6.
Повний текст джерелаТези доповідей конференцій з теми "Skyline queries"
Afrati, Foto N., Paraschos Koutris, Dan Suciu, and Jeffrey D. Ullman. "Parallel skyline queries." In the 15th International Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2274576.2274605.
Повний текст джерелаBöhm, Christian, Frank Fiedler, Annahita Oswald, Claudia Plant, and Bianca Wackersreuther. "Probabilistic skyline queries." In Proceeding of the 18th ACM conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1645953.1646037.
Повний текст джерелаTiakas, 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.
Повний текст джерела"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.
Повний текст джерелаDzolkhifli, 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.
Повний текст джерелаLiu, 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.
Повний текст джерелаCosgaya-Lozano, Adan, Andrew Rau-Chaplin, and Norbert Zeh. "Parallel Computation of Skyline Queries." In 21st International Symposium on High Performance Computing Systems and Applications (HPCS'07). IEEE, 2007. http://dx.doi.org/10.1109/hpcs.2007.25.
Повний текст джерелаWoods, Louis, Gustavo Alonso, and Jens Teubner. "Parallel Computation of Skyline Queries." In 2013 IEEE 21st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM). IEEE, 2013. http://dx.doi.org/10.1109/fccm.2013.18.
Повний текст джерелаZaman, Asif, Md Mahbubul Islam, Md Anisuzzaman Siddique, and Yasuhiko Morimoto. "Distributed k-dominant skyline queries." In 2012 15th International Conference on Computer and Information Technology (ICCIT). IEEE, 2012. http://dx.doi.org/10.1109/iccitechn.2012.6509757.
Повний текст джерелаRahul, Saladi, and Ravi Janardan. "Algorithms for range-skyline queries." In the 20th International Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2424321.2424406.
Повний текст джерела