Results 131 to 140 of about 80,641 (302)

Mining Rare Temporal Pattern in Time Series

Time series data from various domains is continuously growing, and extracting and analyzing temporal patterns within these series can provide valuable insights.
Nguyen, NT, Quach, K, Ho, LV, Dinh-Duc, AV, Ho, N, Le, CT   +5 more
core   +1 more source

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

Journal 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  

RNA‐Binding Protein RBM25 Targets the mRNA Stability of GTPase Rab22a to Restrict Viral Entry and Infection

Advanced Science, EarlyView.
This study identifies RNA‐binding protein RBM25 as a broad‐spectrum antiviral factor acting independently of type I interferon. It blocks viral entry by suppressing GTPase Rab22a via the RC3H1‐mediated destabilization of Rab22a mRNA. Viral downregulation of RBM25 enhances GTPase Rab22a expression and viral entry, revealing an unreported post ...
Yingying Ding, Huiying Chen, Yuyu Jiang, Chunyan Zhao, Jie Bai, Yan Xiang, Zeting Wang, Xixi Wang, Bing Rui, Wanda Tang, Yue Ding, Zhenzhen Zhan, Yunkai Zhang, Xingguang Liu   +13 more
wiley   +1 more source

CID: an efficient complexity-invariant distance for time series

, 2014
The ubiquity of time series data across almost all human endeavors has produced a great interest in time series data mining in the last decade. While dozens of classification algorithms have been applied to time series, recent empirical evidence strongly
Keogh, Eamonn J., Souza, Vinícius Mourão Alves de, Batista, Gustavo Enrique de Almeida Prado Alves, Tataw, Oben Moses   +3 more
core   +1 more source

Pattern Representation of Gas Concentration Time Series Based on Piecewise Linear Method

Gong-kuang zidonghua, 2010
The paper indicated it not only has low efficiency of data mining to directly use original gas concentration time series to forecast short-term concentration,query similarity and classify and cluster time series,but also affects accuracy and reliability ...
XU Hui~, ZHANG Jian-ying~, CHEN Juan~, ZHAO Zhi-kai~   +3 more
doaj  

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

IEEE 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, Terje Moen, Anders H. Hansen, Gregory Bouquet, Antoine Pultier, Xiang Ma, Dumitru Roman   +6 more
doaj   +1 more source

Correcting Apparent Priming Bias Unveils Fertilizer Nitrogen‐Risk Archetypes of Surplus and Depletion Across Asian Rice Systems

Advanced Science, EarlyView.
Correcting the apparent priming effect resolves systematic biases in Asian rice fertilizer nitrogen accounting. Net soil retention drops below 7%, while 48% of fertilizer escapes, inflicting US$98.53 billion in annual reactive‐nitrogen damages. High‐resolution mapping uncovers N‐risk archetypes across 42% of the rice area, delivering a spatially ...
Xiuyun Liu, Siyuan Cai, Longlong Xia, Jagdish K. Ladha, Xiaoyuan Yan, Xu Zhao   +5 more
wiley   +1 more source

RHINO: An Integrative Multi‐Omics Framework Linking Circadian Physiology to Precision Medicine

Advanced Science, EarlyView.
RHINO (RHythmic Interacting Network for multi‐Omics) is an integrative framework that maps circadian regulation across diverse genetic and disease contexts and prioritizes druggable circadian targets. Released as an AI‐powered interactive web portal, RHINO unifies genetic, regulatory, disease, and drug–target information, enabling context‐specific ...
Ying Chen, Chengxuan Chen, Dishu Zhou, Panpan Liu, Roberto E. López‐Valiente, Yuan Liu, Cam Mong La, Isabella Beraldo Xavier, Sean M. Hartig, Pradip Saha, Zheng Sun, Leng Han, Dongyin Guan   +12 more
wiley   +1 more source

Data Abstraction for Visualizing Large Time Series

, 2018
Numeric time series is a class of data consisting of chronologically ordered observations represented by numeric values. Much of the data in various domains, such as financial, medical and scientific, are represented in the form of time series.
Fuchs, G., Andrienko, G., Shurkhovetskyy, G., Andrienko, N.   +3 more
core   +1 more source

Current Collector Engineering for New Efficient Bioresorbable Sodium‐Ion Batteries

Advanced Science, EarlyView.
A bioresorbable Na‐ion battery is proposed with Mo or Mg thin‐film current collectors for temporary implants. Mo‐based batteries exhibit superior electrochemical performance and stable cycling compared with Mg counterparts. XPS was used to investigate the Mo/Mg surface oxidation.
Bincy Lathakumary Vijayan, Eleonora Vandini, Vedi Kuyil Azhagan Muniraj, Hussien Hammoud, Oussama Jamai, Eve Djenizian, Marc Ramuz, Daniela Giuliani, Manuela Zavatti, Yann Tison, Hervé Martinez, Lucas Teolis, Esma Ismailova, David Moreau, Sébastien Maria, Thierry Djenizian   +15 more
wiley   +1 more source