Results 141 to 150 of about 7,350 (305)

Algorithms for Data Streams

, 2007
Data stream processing has gained increasing popularity in the last few years as an effective paradigm for processing massive data sets. A wide range of applications in computational sciences generate huge and rapidly changing data streams that need to ...
DEMETRESCU, Camil, FINOCCHI, Irene, Camil Demetrescu, I. FINOCCHI, Irene Finocchi, C. DEMETRESCU   +5 more
core  

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

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

Sleep‐trackers in the wild: A faceted taxonomy for information and interaction design

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Consumer‐grade sleep‐tracking technologies (CSTs) have brought sleep into everyday data practices, reframing it from a clinical concern into a site of personal optimization and reflection. Yet existing taxonomies of sleep‐tracking often medicalize users and overlook the complexity of sleep‐tracking technologies. This paper presents SleepTax, a
Sanonda Datta Gupta, Jaime Snyder, John S. Seberger   +2 more
wiley   +1 more source

Unveiling student sentiment dynamics toward AI‐based education through statistical analysis and Monte Carlo simulation

British Educational Research Journal, EarlyView.
Abstract This study explores the multifaceted dynamics of student sentiment towards artificial intelligence (AI)‐based education by integrating sentiment analysis techniques with statistical methods, including Monte Carlo simulations and decision tree modelling, alongside qualitative grounded theory analysis.
Volkan Duran, Ercümend Ersanlı, Hurinur Çelik   +2 more
wiley   +1 more source

Academic misconduct appeal services in China: Platform logics, self‐platformization and implications for integrity education

British Educational Research Journal, EarlyView.
Abstract Academic misconduct appeal services have quietly emerged within China's education marketplace, with commercial agencies promoting themselves on social media to assist international students facing misconduct hearings. While existing research on academic integrity has emphasized prevention and detection, far less attention has been paid to what
Gengyan Tang, Sarah Elaine Eaton, Wei Cai   +2 more
wiley   +1 more source

Digital Transformation for Eco‐Innovation: Evidence From Agriculture 4.0 Adoption in Wine Firms

Business Strategy and the Environment, EarlyView.
ABSTRACT Firms face a fundamental strategic dilemma: how to align digital transformation with environmental sustainability while maintaining competitive advantage. Drawing on the eco‐innovation and green business strategy literature, this paper investigates how Agriculture 4.0 technologies act as enablers of sustainability strategies.
Alessandro Muscio, Amir Maghssudipour, Yuntao Wang   +2 more
wiley   +1 more source

Generative AI, ESG Sensemaking, and Environmental Performance: an OIPT Perspective

Business Strategy and the Environment, EarlyView.
ABSTRACT Despite growing enthusiasm for generative artificial intelligence (GenAI) in sustainability management, it remains unclear how such technologies translate vast ESG information into meaningful environmental outcomes. This study addresses this gap by investigating how ESG sensemaking capability mediates the relationship between GenAI integration
Surajit Bag, Gautam Srivastava, Susmi Routray, Andrea Chiarini   +3 more
wiley   +1 more source

A Granular-Ball Based Online Streaming Feature Selection Algorithm

Contemporary Mathematics
Online Streaming Feature Selection (OSFS) is a feature selection method to identify relevant features in real-time from high-dimensional, continuously generated data streams. Traditional methods require the pre-setting of static parameters and exhibit insufficient robustness.
Jiangdi Yang, Shaokun Jia, Chenglin Zhang, Jie Yang, Fan Zhao   +4 more
openaire   +1 more source

Streaming algorithms for network flow data analysis

, 2012
Thesis (Ph. D.)--University of Rochester. Dept. of Mathematics, 2008.The algorithmic field of Data Streaming was first proposed over a decade ago by Alon, Matias, and Szegedy.
Lall, Ashwin (1980 - ), Ogihara, Mitsunori (1963 - )   +1 more
core  

Resource‐Centered Transformation Paths: The Role of Digital Transformation in Optimizing SME Resources for Sustainable Entrepreneurship

Business Strategy and the Environment, EarlyView.
ABSTRACT The critical role of small and medium‐sized enterprises (SMEs) in driving economic growth through employment generation and innovation cannot go unseen, especially the efforts of small firms in promoting sustainable entrepreneurship. With more market and consumer focus on sustainability and the shift toward eco‐friendly products, SMEs can ...
Nasser Hadi Alajmi
wiley   +1 more source