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Artykuły w czasopismach na temat "Skyline queries"
Hose, Katja. "Skyline Queries". Datenbank-Spektrum 16, nr 3 (6.07.2016): 247–51. http://dx.doi.org/10.1007/s13222-016-0229-2.
Pełny tekst źródłaAfrati, Foto N., Paraschos Koutris, Dan Suciu i Jeffrey D. Ullman. "Parallel Skyline Queries". Theory of Computing Systems 57, nr 4 (16.04.2015): 1008–37. http://dx.doi.org/10.1007/s00224-015-9627-3.
Pełny tekst źródłaLee, Jongwuk, Gae-won You, Seung-won Hwang, Joachim Selke i Wolf-Tilo Balke. "Interactive skyline queries". Information Sciences 211 (listopad 2012): 18–35. http://dx.doi.org/10.1016/j.ins.2012.04.007.
Pełny tekst źródłaXin, Junchang, Zhiqiong Wang, Mei Bai i Guoren Wang. "Reverse Skyline Computation over Sliding Windows". Mathematical Problems in Engineering 2015 (2015): 1–19. http://dx.doi.org/10.1155/2015/649271.
Pełny tekst źródłaRuan, Pei Qi, Chuan Wei Xu, Ji Ting Huang, Lun Ke Qing i Chang Qing Ji. "A Distributed Algorithm for Skyline Query Based on Pre-Clustering". Advanced Materials Research 756-759 (wrzesień 2013): 3982–86. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.3982.
Pełny tekst źródłaLiu, Jinfei, Juncheng Yang, Li Xiong, Jian Pei, Jun Luo, Yuzhang Guo, Shuaicheng Ma i Chenglin Fan. "Skyline Diagram: Efficient Space Partitioning for Skyline Queries". IEEE Transactions on Knowledge and Data Engineering 33, nr 1 (1.01.2021): 271–86. http://dx.doi.org/10.1109/tkde.2019.2923914.
Pełny tekst źródłaSiddique, Md Anisuzzaman, Hao Tian, Mahboob Qaosar i Yasuhiko Morimoto. "MapReduce Algorithm for Variants of Skyline Queries: Skyband and Dominating Queries". Algorithms 12, nr 8 (13.08.2019): 166. http://dx.doi.org/10.3390/a12080166.
Pełny tekst źródłaLougmiri, Zekri. "A New Progressive Method for Computing Skyline Queries". Journal of Information Technology Research 10, nr 3 (lipiec 2017): 1–21. http://dx.doi.org/10.4018/jitr.2017070101.
Pełny tekst źródłaBavirthi, Swathi Sowmya, i Supreethi K. P. "Systematic Review of Indexing Spatial Skyline Queries for Decision Support". International Journal of Decision Support System Technology 14, nr 1 (styczeń 2022): 1–15. http://dx.doi.org/10.4018/ijdsst.286685.
Pełny tekst źródłaCiaccia, Paolo, i Davide Martinenghi. "Reconciling skyline and ranking queries". Proceedings of the VLDB Endowment 10, nr 11 (sierpień 2017): 1454–65. http://dx.doi.org/10.14778/3137628.3137653.
Pełny tekst źródłaRozprawy doktorskie na temat "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.
Pełny tekst źródłaIncludes 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.
Pełny tekst źródłaDepartment 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.
Znajdź pełny tekst źródłaSrivastava, 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.
Pełny tekst źródłaRaghavan, Venkatesh. "Supporting Multi-Criteria Decision Support Queries over Disparate Data Sources". Digital WPI, 2012. https://digitalcommons.wpi.edu/etd-dissertations/120.
Pełny tekst źródłaAlami, Karim. "Optimisation des requêtes de préférence skyline dans des contextes dynamiques". Thesis, Bordeaux, 2020. http://www.theses.fr/2020BORD0135.
Pełny tekst źródłaPreference 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.
Pełny tekst źródłaThe 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.
Pełny tekst źródłaThe 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.
Pełny tekst źródłaChia-HengChang i 張嘉恒. "Continuous Skyline Queries in Road Networks". Thesis, 2010. http://ndltd.ncl.edu.tw/handle/43915730531332275302.
Pełny tekst źródła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.
Części książek na temat "Skyline queries"
Thakur, Nilu. "Skyline Queries". W Encyclopedia of GIS, 1056–62. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_1221.
Pełny tekst źródłaThakur, Nilu. "Skyline Queries". W Encyclopedia of GIS, 1–9. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23519-6_1221-2.
Pełny tekst źródłaThakur, Nilu. "Skyline Queries". W Encyclopedia of GIS, 1897–905. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-17885-1_1221.
Pełny tekst źródłaVlachou, Akrivi, Christos Doulkeridis, Kjetil Nørvåg i Yannis Kotidis. "Subspace Skyline Queries". W 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.
Pełny tekst źródłaGuo, Xi, Chuan Xiao i Yoshiharu Ishikawa. "Combination Skyline Queries". W 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.
Pełny tekst źródłaEl-Dawy, Eman, Hoda M. O. Mokhtar i Ali El-Bastawissy. "Directional Skyline Queries". W Data and Knowledge Engineering, 15–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34679-8_2.
Pełny tekst źródłaBosc, Patrick, Allel Hadjali i Olivier Pivert. "On Possibilistic Skyline Queries". W Flexible Query Answering Systems, 412–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24764-4_36.
Pełny tekst źródłaJaudoin, Hélène, Olivier Pivert i Daniel Rocacher. "Exception-Tolerant Skyline Queries". W 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.
Pełny tekst źródłaEmrich, Tobias, Maximilian Franzke, Nikos Mamoulis, Matthias Renz i Andreas Züfle. "Geo-Social Skyline Queries". W Database Systems for Advanced Applications, 77–91. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05813-9_6.
Pełny tekst źródłaSu, I.-Fang, Yu-Chi Chung i Chiang Lee. "Top-k Combinatorial Skyline Queries". W 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.
Pełny tekst źródłaStreszczenia konferencji na temat "Skyline queries"
Afrati, Foto N., Paraschos Koutris, Dan Suciu i Jeffrey D. Ullman. "Parallel skyline queries". W the 15th International Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2274576.2274605.
Pełny tekst źródłaBöhm, Christian, Frank Fiedler, Annahita Oswald, Claudia Plant i Bianca Wackersreuther. "Probabilistic skyline queries". W Proceeding of the 18th ACM conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1645953.1646037.
Pełny tekst źródłaTiakas, Eleftherios, Apostolos N. Papadopoulos i Yannis Manolopoulos. "Skyline queries: An introduction". W 2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA). IEEE, 2015. http://dx.doi.org/10.1109/iisa.2015.7388053.
Pełny tekst źródła"Materializing Distributed Skyline Queries". W International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004794203720379.
Pełny tekst źródłaDzolkhifli, Zarina, Hamidah Ibrahim, Fatimah Sidi, Lilly Suriani Affendey, Siti Nurulain Mohd Rum i Ali A. Alwan. "Efficient Skyline Computation of Multiple Range Skyline Queries". W 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.
Pełny tekst źródłaLiu, Jinfei, Juncheng Yang, Li Xiong, Jian Pei i Jun Luo. "Skyline Diagram: Finding the Voronoi Counterpart for Skyline Queries". W 2018 IEEE 34th International Conference on Data Engineering (ICDE). IEEE, 2018. http://dx.doi.org/10.1109/icde.2018.00065.
Pełny tekst źródłaCosgaya-Lozano, Adan, Andrew Rau-Chaplin i Norbert Zeh. "Parallel Computation of Skyline Queries". W 21st International Symposium on High Performance Computing Systems and Applications (HPCS'07). IEEE, 2007. http://dx.doi.org/10.1109/hpcs.2007.25.
Pełny tekst źródłaWoods, Louis, Gustavo Alonso i Jens Teubner. "Parallel Computation of Skyline Queries". W 2013 IEEE 21st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM). IEEE, 2013. http://dx.doi.org/10.1109/fccm.2013.18.
Pełny tekst źródłaZaman, Asif, Md Mahbubul Islam, Md Anisuzzaman Siddique i Yasuhiko Morimoto. "Distributed k-dominant skyline queries". W 2012 15th International Conference on Computer and Information Technology (ICCIT). IEEE, 2012. http://dx.doi.org/10.1109/iccitechn.2012.6509757.
Pełny tekst źródłaRahul, Saladi, i Ravi Janardan. "Algorithms for range-skyline queries". W the 20th International Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2424321.2424406.
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