A survey of skyline query processing
C Kalyvas, T Tzouramanis - arxiv preprint arxiv:1704.01788, 2017 - arxiv.org
Living in the Information Age allows almost everyone have access to a large amount of
information and options to choose from in order to fulfill their needs. In many cases, the …
information and options to choose from in order to fulfill their needs. In many cases, the …
iSpan: Parallel Identification of Strongly Connected Components with Spanning Trees
Detecting strongly connected components (SCCs) in a directed graph is crucial for
understanding the structure of graphs. Most real-world graphs have one large SCC that …
understanding the structure of graphs. Most real-world graphs have one large SCC that …
Parallel strong connectivity based on faster reachability
Computing strongly connected components (SCC) is among the most fundamental problems
in graph analytics. Given the large size of today's real-world graphs, parallel SCC …
in graph analytics. Given the large size of today's real-world graphs, parallel SCC …
Creating competitive products
The importance of dominance and skyline analysis has been well recognized in multi-
criteria decision making applications. Most previous works study how to help customers find …
criteria decision making applications. Most previous works study how to help customers find …
Ranking the sky: Discovering the importance of skyline points through subspace dominance relationships
Skyline queries aim to help users make intelligent decisions over complex data by
discovering a set of interesting points, when different and often conflicting criteria are …
discovering a set of interesting points, when different and often conflicting criteria are …
Kernel-based skyline cardinality estimation
The skyline of ad-dimensional dataset consists of all points not dominated by others. The
incorporation of the skyline operator into practical database systems necessitates an …
incorporation of the skyline operator into practical database systems necessitates an …
Finding top-k profitable products
The importance of dominance and skyline analysis has been well recognized in multi-
criteria decision making applications. Most previous studies focus on how to help customers …
criteria decision making applications. Most previous studies focus on how to help customers …
Randomized multi-pass streaming skyline algorithms
We consider external algorithms for skyline computation without pre-processing. Our goal is
to develop an algorithm with a good worst case guarantee while performing well on …
to develop an algorithm with a good worst case guarantee while performing well on …
Crowdsourcing pareto-optimal object finding by pairwise comparisons
This is the first study of crowdsourcing Pareto-optimal object finding over partial orders and
by pairwise comparisons, which has applications in public opinion collection, group decision …
by pairwise comparisons, which has applications in public opinion collection, group decision …
Crowd-enabled multiple Pareto-optimal queries for multi-criteria decision-making services
B Yin, P Zhang, B Xu, H Chen, Y Ji - Future Generation Computer Systems, 2023 - Elsevier
The widespread usage of crowdsourcing systems, which leverage human intelligence to do
computer-hard tasks, has created an urgent need to combine crowdsourcing with automated …
computer-hard tasks, has created an urgent need to combine crowdsourcing with automated …