Results 111 to 120 of about 825,885 (311)
Efficient High Utility Negative Sequential Patterns Mining in Smart Campus
High utility sequential patterns (HUSP) mining has been playing more and more important role in many applications, such as data analysis and smart campus.
Tiantian Xu, Tongxuan Li, Xiangjun Dong
doaj +1 more source
Discovering Unbounded Episodes in Sequential Data [PDF]
One basic goal in the analysis of time-series data is to find frequent interesting episodes, i.e, collections of events occurring frequently together in the input sequence. Most widely-known work decide the interestingness of an episode from a fixed user-specified window width or interval, that bounds the subsequent ...
openaire +2 more sources
The ubiquitin ligase RNF115 is required for the clearance of damaged lysosomes
Upon lysosomal rupture, an E3 ubiquitin ligase RNF115 translocates from the cytosol to the damaged lysosomal membrane. Moreover, RNF115 depletion impairs the clearance of damaged lysosomes, identifying it as a key regulator of lysosomal quality control.
Sae Nakanaga +3 more
wiley +1 more source
Team 5: Sequential Screening for Organizational Performance [PDF]
from Scythe : Proceedings and Bulletin of the International Data Farming Community, Issue 6 Workshop 18Fractional Factorial Controlled Sequential Bifurcation (FFCSB) is a newly proposed two-phase screening procedure for large-scale simulation ...
Sanchez, Susan M. +3 more
core
On efficiently mining high utility sequential patterns
High utility sequential pattern mining is an emerging topic in pattern mining, which refers to identify sequences with high utilities (e.g., profits) but probably with low frequencies. To identify high utility sequential patterns, due to lack of downward
Wang, Jun-Zhe;Huang, Jiun-Long;Chen, Yi-Cheng
core +1 more source
This study addresses challenges related to privacy issues in utilizing medical data, particularly the protection of personal information. To overcome this obstacle, the research focuses on data synthesis using real-world time-series generative ...
Jaewon Kim +3 more
doaj +1 more source
Visual analysis of oceanic data for marine ecosystems
We present a data visualization approach that allows users to interactively analyse sequential movement patterns and automatically extract rules for marine animal behaviour.
Vegu Shree Rama Kamal Kumar +1 more
doaj +1 more source
Sequential Bayesian Registration for Functional Data
Abstract In many modern applications, discretely-observed data may be naturally understood as a set of functions. Functional data often exhibit two confounded sources of variability: amplitude (y-axis) and phase (x-axis). The extraction of amplitude and phase, a process known as registration, is essential in exploring the underlying structure
Yoonji Kim +2 more
openaire +3 more sources
Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil +4 more
wiley +1 more source
Maintenance of discovered sequential patterns for record deletion
[[abstract]]Mining sequential patterns from temporal transaction databases attempts to find customer behavior models and to assist managers in making correct and effective decisions.
C. Y. Wang; T. P. Hong ; S. S. Tseng
core

