Results 111 to 120 of about 24,371,806 (309)

New ensemble methods for evolving data streams [PDF]

, 2009
Advanced analysis of data streams is quickly becoming a key area of data mining research as the number of applications demanding such processing increases.
Richard Kirkby, Pfahringer, Bernhard, Geoff Holmes, Bernhard Pfahringer, Albert Bifet, Bifet, Albert, Kirkby, Richard Brendon, Holmes, Geoffrey, Gavaldà, Ricard, Ricard Gavaldà   +9 more
core   +1 more source

Stream Data Cleaning for Dynamic Line Rating Application

Energies, 2018
The maximum current that an overhead transmission line can continuously carry depends on external weather conditions, most commonly obtained from real-time streaming weather sensors.
Hassan M. Nemati, A. Laso, M. Manana, Anita Sant'Anna, Sławomir Nowaczyk   +4 more
doaj   +1 more source

Fatigue‐Driven Adaptive Assistance for a Semi‐Active Upper‐Limb Occupational Exoskeleton

Advanced Intelligent Systems, EarlyView.
Physical fatigue during a physical activity is estimated in real time to enable adaptive exoskeleton assistance. By continuously adjusting the level of support according to the user’s fatigue, this approach reduces physical demand and provides a pathway toward personalized exoskeleton assistance.
Seemab Zakir, Lorenzo Grazi, Simone Prisinzano, Francesco Giovacchini, Nicola Vitiello, Emilio Trigili, Simona Crea   +6 more
wiley   +1 more source

Giovanni Antonio Scopoli's De Hydrargyro Idriensi Tentamina (1761): Mercury Mining, Mercurialism, and Preventive Reasoning in Eighteenth‐Century Occupational Medicine

American Journal of Industrial Medicine, EarlyView.
ABSTRACT Giovanni Antonio Scopoli (1723–1788), a physician‐naturalist of the Enlightenment, is primarily remembered for his contributions to botany and entomology. Less attention has been paid to his medical work De hydrargyro Idriensi Tentamina physico‐chymico‐medica (1761), written during his fifteen years of service as physician at the mercury mines
Alberto Zanatta, Paola Mason, Sofia Bollini, Giovanni Magno   +3 more
wiley   +1 more source

Mining data streams using option trees (revised edition, 2004) [PDF]

, 2004
The data stream model for data mining places harsh restrictions on a learning algorithm. A model must be induced following the briefest interrogation of the data, must use only available memory and must update itself over time within these constraints ...
Pfahringer, Bernhard, Kirkby, Richard Brendon, Holmes, Geoffrey   +2 more
core  

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh, Christian Jilek, Markus Schröder, Heiko Maus, Andreas Dengel   +4 more
wiley   +1 more source

Purification of Advanced Therapeutics by Flow‐Through Pseudo‐Affinity Chromatography: Bi‐Specific mABs, Fc Fusion Proteins, and Adeno‐Associated Viruses

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Modern biopharmaceutical manufacturing requires purification platforms capable of processing structurally and functionally diverse products while addressing the challenge of removing persistent and high‐risk host cell proteins (HCPs).
Wenning Chu, Eduardo Barbieri, Arianna Minzoni, Shriarjun Shastry, Jacob P. LeBarre, Qingbo Shu, Taufika Williams, Xuanwen Li, Divya Chandra, Xuankuo Xu, Jerome Bill, David Roush, Joseph Taris, Patrick Gilbert, Andre Kiesewetter, Oliver Rammo, Michael Schulte, Christopher Major, Trina Mouchahoir, Steven Cramer, Cristiana Boi, Ruben G. Carbonell, Abraham Lenhoff, Stefano Menegatti   +23 more
wiley   +1 more source

Towards Meta-learning over Data Streams [PDF]

, 2014
Modern society produces vast streams of data. Many stream mining algorithms have been developed to capture general trends in these streams, and make predictions for future observations, but relatively little is known about which algorithms perform ...
Pfahringer, Bernhard, van Rijn, Jan N., Holmes, Geoffrey, Vanschoren, Joaquin   +3 more
core  

Mining Multi-label Data Streams Using Ensemble-based Active Learning

, 2012
Data stream classification has drawn increasing attention from the data mining community in recent years, where a large number of stream classification models were proposed.
Peng Wang, Zhang, P, Wang, P, Li Guo, Guo, L, Peng Zhang   +5 more
core   +1 more source

Roadmap of Concept Drift Adaptation in Data Stream Mining, Years Later

IEEE Access
As machine learning models are increasingly applied to real-world scenarios, it is essential to consider the possibility of changes in the data distribution over time.
Osama A. Mahdi, Nawfal Ali, Eric Pardede, Ammar Alazab, Tahsien Al-Quraishi, Bhagwan Das   +5 more
doaj   +1 more source