Results 41 to 50 of about 5,543 (131)
, 2016 Analyzing huge amounts of spatial data plays an important role in many emerging analysis and decision-making domains such as healthcare, urban planning, agriculture and so on.
Davari, Somaye, Ghadiri, Nasser
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Research on multiple enhanced k combination reverse Skyline query method
Journal of Big DataThe reverse Skyline query aims to identify a set of data points that dynamically dominate a query point from the decision-makers’ perspective. It has been widely applied in business decision-making, recommendation systems, location-based services ...
Song Li, Xinyuan Zhang, Liping Zhang
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Finding Top-k Dominance on Incomplete Big Data Using Map-Reduce Framework
, 2017 Incomplete data is one major kind of multi-dimensional dataset that has random-distributed missing nodes in its dimensions. It is very difficult to retrieve information from this type of dataset when it becomes huge. Finding top-k dominant values in this
Ezatpoor, Payam
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Efficient Computation of Skyline Queries Over a Dynamic and Incomplete Database
IEEE Access, 2020 Skyline queries rely on the notion of Pareto dominance, filter the data items by keeping only those data items that are the best, most preferred, also known as skylines, from a database to meet the user's preferences.
Ghazaleh Babanejad Dehaki +5 more
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RRR: Rank-Regret Representative
, 2018 Selecting the best items in a dataset is a common task in data exploration. However, the concept of "best" lies in the eyes of the beholder: different users may consider different attributes more important, and hence arrive at different rankings ...
Asudeh, Abolfazl +4 more
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A novel multi-objective SKG-skyline algorithm integrating spatial keyword data transformation
Complex & Intelligent SystemsThe spatial keyword skyline query effectively addresses user preferences, particularly for location-based service applications. However, existing approaches primarily focus on single-object queries and remain unsuitable for group-based computations.
Xiaowei Cui +5 more
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Efficient Computation of Skyline Queries on Incomplete Dynamic Data
IEEE Access, 2018 Skyline query is a typical preference query method. Due to its capacity of extracting interesting information from multi-dimensional datasets abided by multiple criterions, the skyline query has been extensively studied.
Hongzhi Wang +6 more
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CoPhy: A Scalable, Portable, and Interactive Index Advisor for Large Workloads [PDF]
, 2011 Index tuning, i.e., selecting the indexes appropriate for a workload, is a crucial problem in database system tuning. In this paper, we solve index tuning for large problem instances that are common in practice, e.g., thousands of queries in the workload,
Ailamaki, Anastasia +2 more
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Continuous Skyline Queries Based on MapReduce
Dianxin kexue, 2014 With the development of Web and wireless sensor networks, the appearance of big data has brought a great challenge to data query and process. The parallel Skyline computing issue of a moving query object under the MapReduce framework was studied.
Guanmin Shan, Yihong Dong, Xianmang He
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Skyline query under multidimensional incomplete data based on classification tree
Journal of Big DataA method for skyline query of multidimensional incomplete data based on a classification tree has been proposed to address the problem of a large amount of useless data in existing skyline queries with multidimensional incomplete data, which leads to low
Dengke Yuan +3 more
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