Results 41 to 50 of about 751,199 (239)

Enhanced manufacturing storage management using data mining prediction techniques [PDF]

, 2017
Performing an efficient storage management is a key issue for reducing costs in the manufacturing process. And the first step to accomplish this task is to have good estimations of the consumption of every storage component.
Aguayo-González, Francisco, González-Regalado Montero, Eduardo, Lama-Ruiz, Juan Ramón, Luque Sendra, Amalia   +3 more
core   +1 more source

Evaluating the Privacy and Utility of Time-Series Data Perturbation Algorithms

Mathematics, 2023
Data collected from sensor-rich systems may reveal user-related patterns that represent private information. Sensitive patterns from time-series data can be protected using diverse perturbation methods; however, choosing the method that provides the ...
Adrian-Silviu Roman
doaj   +1 more source

Time Series Data Mining Algorithms for Identifying Short RNA in Arabidopsis thaliana [PDF]

, 2007
The class of molecules called short RNAs (sRNAs) are known to play a key role in gene regulation. Th are typically sequences of nucleotides between 21-25 nucleotides in length. They are known to play a key role in gene regulation.
Bagnall, Anthony, Moxon, Simon, Studholme, David   +2 more
core  

Automatically estimating iSAX parameters [PDF]

, 2015
The Symbolic Aggregate Approximation (iSAX) is widely used in time series data mining. Its popularity arises from the fact that it largely reduces time series size, it is symbolic, allows lower bounding and is space efficient.
Azevedo, Paulo J., Castro, Nuno Constantino   +1 more
core   +1 more source

Time-series prediction of shellfish farm closure: A comparison of alternatives

Information Processing in Agriculture, 2014
Shellfish farms are closed for harvest when microbial pollutants are present. Such pollutants are typically present in rainfall runoff from various land uses in catchments.
Ashfaqur Rahman, Md Sumon Shahriar, Claire D’Este, Greg Smith, John McCulloch, Greg Timms   +5 more
doaj   +1 more source

Time series forecasting in the artificial intelligence milieu

Journal of Economic and Financial Sciences, 2022
No abstract available.
Ilse Botha
doaj   +1 more source

Multivariate time series classification with temporal abstractions [PDF]

, 2009
The increase in the number of complex temporal datasets collected today has prompted the development of methods that extend classical machine learning and data mining methods to time-series data.
Batal, L, Bellazzi, R, Hauskrecht, M, Sacchi, L   +3 more
core   +1 more source

Explaining Aviation Safety Incidents Using Deep Temporal Multiple Instance Learning

, 2018
Although aviation accidents are rare, safety incidents occur more frequently and require a careful analysis to detect and mitigate risks in a timely manner.
Avila Garcez A. S., Bas C., Guan Xinze, Iverson David L., Ramon Jan, Zhang Dan   +5 more
core   +1 more source

PRESEE: An MDL/MML Algorithm to Time-Series Stream Segmenting [PDF]

, 2013
Time-series stream is one of the most common data types in data mining field. It is prevalent in fields such as stock market, ecology, and medical care. Segmentation is a key step to accelerate the processing speed of time-series stream mining.
Jiang, Yexi, Tang, Changjie, Tang, Mingjie, Xu, Kaikuo, Yuan, Changan   +4 more
core   +2 more sources

A New Time Series Representation Model and Corresponding Similarity Measure for Fast and Accurate Similarity Detection

IEEE Access, 2017
Data representation and similarity measurement are two basic aspects of similarity detection in time series data mining. In this paper, we present two novel approaches to perform similarity detection efficiently and effectively.
Miaomiao Zhang, Dechang Pi
doaj   +1 more source