Results 121 to 130 of about 36,481,271 (303)

Time Series Data Mining Implemented on Football Match

open access: yes, 2010
This study utilizes time series data mining to find the interesting pattern and cooperation custom. Meanwhile, data mining technique and some special football skills such as ball possession are employed to build a novel decision model in football match.
Ben Cheng Chai
core   +1 more source

SOX30 Facilitates Triple‐Negative Breast Cancer Metastasis via TNFR2–NF‐κB Signaling and Tumor Microenvironment Remodeling

open access: yesAdvanced Science, EarlyView.
SOX30 drives triple‐negative breast cancer (TNBC) metastasis through a dual mechanism: direct activation of the TNFR2/NF‐κB signaling cascade and subsequent CCL20‐mediated recruitment of tumor‐associated macrophages (TAMs) into the tumor microenvironment.
Pingping Gao   +10 more
wiley   +1 more source

Design of a Novel Diamine Biosensor to Guide the Engineering of Escherichia coli for Cadaverine Overproduction

open access: yesAdvanced Science, EarlyView.
A high‐throughput screening platform was established by integrating an in vivo cadaverine biosensor with a fluorescence‐activated cell sorting (FACS) system. Biosensor‐driven specific exporter tuning, pathway optimization and genome‐wide target mining were conducted to maximize cadaverine production in Escherichia coli.
Jia Feng   +13 more
wiley   +1 more source

Teaching Financial Data Mining using Stocks and Futures Contracts [PDF]

open access: yesJournal of Systemics, Cybernetics and Informatics, 2005
Financial data mining models is considered to be "the hardest way to make easy money." Data miners are certainly motivated by the prospect of discovering a financial "Holy Grail." However, designing and implementing a successful model poses many ...
Gary Boetticher
doaj  

Association Mining of Dependency between Time Series using Genetic Algorithm and Discretization

open access: yes, 2011
Association rule mining is one of the most popular data-mining techniques used to find associations existing between a set of objects or data. A time series is a sequence of observations stamped over the time; Time-series analysis has been used in a ...
Dr. Mourad Ykhlef
core  

scGEN: Leveraging an Adaptive Weighting Strategy for Challenging Cell Clustering in Single‐Cell RNA‐seq

open access: yesAdvanced Science, EarlyView.
scGEN combines attribute–structure encoding, adaptive hard‐sample weighting, and regularized zero‐inflated negative binomial loss to resolve ambiguous single‐cell states. In the developing human pituitary, refined annotations reveal Pre.Gonado cells at 7 weeks and previously obscured developmental communication networks.
Fang Huang   +16 more
wiley   +1 more source

Vibration Sensors for Detecting Critical Events: A Case Study in Ferrosilicon Production

open access: yesIEEE Access
The mining and metal processing industries are undergoing a transformation through digitization, with sensors and data analysis playing a crucial role in modernization and increased efficiency.
Maryna Waszak   +6 more
doaj   +1 more source

Clustering of Time Series Data

open access: yes, 2005
Time series data is of interest to most science and engineering disciplines and analysis techniques have been developed for hundreds of years. There have, however, in recent years been new developments in data mining techniques, such as frequent pattern ...
Anne Denton
core   +1 more source

Spatial Au+ Mapping Reveals a Self‐Amplifying Anti‐Tumor Immunity Loop Driven by Au(I) Complexes

open access: yesAdvanced Science, EarlyView.
The first report of spatial Au+ mapping of a representative gold complex (Au9). Macrophages, DCs, and tumor cells ranked as the top three in Au+ enrichment after Au9 treatment. Interestingly, Au9 treatment could induce ferroptosis and suppress cellular cholesterol, further eliciting a self‐amplifying anti‐tumor immunity loop.
Zhongren Xu   +5 more
wiley   +1 more source

Dissimilarity criteria for time series data mining

open access: yes, 2007
In the last decade there has been an increasing interest in mining time series data and many distance measures and representations have been proposed for this purpose.
CORDUAS, MARCELLA
core  

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