Results 121 to 130 of about 5,816 (262)

Online algorithms for mining semi-structured data stream

Online algorithms for mining semi-structured data stream
In this paper, we study an online data mining problem from streams of semi-structured data such as XML data. Modeling semi-structured data and patterns as labeled ordered trees, we present an online algorithm StreamT that receives fragments of an unseen possibly infinite semi-structured data in the document order through a data stream, and can return ...
openaire   +1 more source

Discursive Governance and Development Goals: A Performative Theory of Corporate Purpose in Sustainability Discourse

Business Strategy and the Environment, EarlyView.
ABSTRACT This study theorises and empirically tests performative purpose alignment theory (PPAT), which conceptualises corporate purpose as a performative artefact materialised through discursive and multimodal signals. To operationalise this, we introduced the SDG–Purpose Alignment Index (SPAI), a computational construct that quantifies the thematic ...
Augustine Okeke, Ifeanyi Ugbebor
wiley   +1 more source

The Role of Solution Business Model Patterns in Digital Agriculture: Linking Business Model Components and Sustainable Outcomes From a Startup Business Perspective

Business Strategy and the Environment, EarlyView.
ABSTRACT Digital agriculture is expanding rapidly, yet research has only begun to examine how AgTech startups design and adapt their business models, through digital technologies, in response to technological change and rising sustainability expectations.
Mauro Florez, Isabelle Bourdon, Julian Schirmer, René Eber, Valentina Materia   +4 more
wiley   +1 more source

A genetic algorithm-based framework for online sparse feature selection in data streams. [PDF]

Front Big Data
Liu G, Liu J, He G, Liu Y, Bai H, Zhou M.   +5 more
europepmc   +1 more source

Measuring the Burden of Choice: Development and Validation of a Choice Overload Scale

Journal of Consumer Behaviour, EarlyView.
ABSTRACT Excessive choice imposes substantial cognitive demands on consumers, impairs decision‐making, and generates negative consumer responses—a phenomenon widely known as the choice overload effect. Despite its conceptual prominence in consumer research and its enduring relevance in today's consumer markets, existing approaches to measuring choice ...
Jennifer Musial
wiley   +1 more source

Intelligent incremental classification using a dynamic grasshopper-enhanced neural network for data streams. [PDF]

Sci Rep
Darwish SM, El-Shoafy NA.
europepmc   +1 more source

From Confusion to Clarity: A Multi‐Stage Process Framework for Understanding Consumer Confusion

Journal of Consumer Behaviour, EarlyView.
ABSTRACT This paper reconceptualizes consumer confusion as a multi‐stage temporal process rather than a static outcome, addressing theoretical fragmentation in existing antecedent‐consequence models. By integrating cognitive appraisal, contextual amplification, and adaptive coping within a unified framework, we explain how confusion unfolds rather than
Fatih Celik, Erdogan Koc
wiley   +1 more source

Emotion beyond boundaries: How multimodal cues foster cross-cultural affective contagion in immersive livestreaming. [PDF]

PLoS One
Zhang Y, Liu Y, Mao H, Zhao J.
europepmc   +1 more source

Non‐Invasive Estimation of Systemic Drug Exposure Using Exhaled Breath Metabolomics in Humans: A Translational Proof‐of‐Concept Study

Clinical Pharmacology &Therapeutics, EarlyView.
Accurate assessment of systemic drug exposure in humans remains challenging, as conventional approaches rely on intermittent blood sampling and laboratory‐based assays that are invasive and provide limited temporal resolution. Exhaled breath contains volatile and semi‐volatile compounds arising from drug metabolism and downstream biological processes ...
Kai Fricke, Diego M. Baur, Kapil Dev Singh, Felix Schmidt, Kathrin Müsch, Noriane A. Sievi, Marco Di Donato, Anton Schmick, Jonas Herth, Silvia Ulrich, Pablo Sinues, Marian Galovic, Malcolm Kohler   +12 more
wiley   +1 more source

A hybrid spiking convolutional neural framework with extreme learning machine for enhanced anomaly detection in network security. [PDF]

Sci Rep
Li W.
europepmc   +1 more source