Results 41 to 50 of about 7,845 (315)

Skyline Query Processing [PDF]

open access: yes, 2006
This thesis deals with a special subset of multi-dimensional set of points, called the Skyline. These points are the maxima or minima of the complete set and are of special interest for the field of decision support. Coming from basic algorithms for computing the Skyline we will develop ideas and algorithms for "on-the-fly" or online computation of the
openaire   +2 more sources

Research of Skyline Query Method for Hidden Web Database

open access: yesJisuanji kexue yu tansuo, 2020
Skyline discovery from a hidden Web database can enable a wide variety of innovative applications in Web information integration area. Although there are many limitations such as the finite number of Web accesses one can issue through per-IP-address, no ...
LI Zhengyu, LI Gui, CAO Keyan
doaj   +1 more source

Continuous Nearest Neighbor Queries over Sliding Windows [PDF]

open access: yes, 2007
—This paper studies continuous monitoring of nearest neighbor (NN) queries over sliding window streams. According to this model, data points continuously stream in the system, and they are considered valid only while they belong to a sliding window that ...
MOURATIDIS, Kyriakos, Papadias, Dimitris
core   +3 more sources

Finding Group-Based Skyline over a Data Stream in the Sensor Network

open access: yesInformation, 2018
Along with the application of the sensor network, there will be large amount of dynamic data coming from sensors. How to dig the useful information from such data is significant.
Leigang Dong   +3 more
doaj   +1 more source

Parallel Computation of Skyline Queries [PDF]

open access: yes21st International Symposium on High Performance Computing Systems and Applications (HPCS'07), 2007
Skyline queries have received considerable attention in the database community. The goal is to retrieve all records in a database that have the property that no other record is better according to all of a given set of criteria. While this problem has been well studied in the computational geometry literature, the solution of this problem in the ...
Adan Cosgaya-Lozano   +2 more
openaire   +1 more source

Efficient Computation of Subspace Skyline over Categorical Domains

open access: yes, 2017
Platforms such as AirBnB, Zillow, Yelp, and related sites have transformed the way we search for accommodation, restaurants, etc. The underlying datasets in such applications have numerous attributes that are mostly Boolean or Categorical.
Asudeh, Abolfazl   +3 more
core   +1 more source

Organizing the interface—Plasma membrane architecture and receptor dynamics in virus‐cell interactions

open access: yesFEBS Letters, EarlyView.
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley   +1 more source

Skyline queries over incomplete multidimensional database [PDF]

open access: yes, 2011
In recent years, there has been much focus on skyline queries that incorporate and provide more flexible query operators that return data items which are dominating other data items in all attributes (dimensions).Several techniques for skyline have been ...
Alwan, Ali A.   +3 more
core  

Heterozygous loss‐of‐function alleles associate the conserved 3′‐5′ exoribonuclease EXOSC10 with hypersensitivity to the anticancer drug 5‐fluorouracil

open access: yesMolecular Oncology, EarlyView.
EXOSC10, an essential nuclear RNA exosome‐associated 3′‐5′ exoribonuclease, is inhibited by the anticancer drug 5‐fluorouracil (5‐FU), and EXOSC10 depletion increases 5‐FU sensitivity. The colon‐cancer variant EXOSC10S402T, located in a proteolysis motif, is stable and nuclear but nonfunctional in vivo.
Radhika Sain   +10 more
wiley   +1 more source

Finding Top-k Dominance on Incomplete Big Data Using Map-Reduce Framework

open access: yes, 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
core   +1 more source

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