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Interpreted Execution of Business Process Models on Blockchain
To address this lack of flexibility, this paper presents an interpreter of BPMN process models based on dynamic data structures.
Software Engineering
Graph-of-Thought: Utilizing Large Language Models to Solve Complex and Dynamic Business Problems
This paper presents Graph-of-Thought (GoT), a new model for workflow automation that enhances the flexibility and efficiency of Large Language Models (LLMs) in complex task execution.
Calibrating the dynamic Huff model for business analysis using location big data
In this research, we present a time-aware dynamic Huff model (T-Huff) for location-based market share analysis and calibrate this model using large-scale store visit patterns based on mobile phone location data across ten most populated U. S. cities.
Social and Information Networks H.1
An Economical Business-Cycle Model
In the model, the optimal monetary policy is to set the interest rate at the level that eliminates the unemployment gap.
A Structural Model of Business Card Exchange Networks
We allow heterogeneity of users in both observable and unobservable characteristics to affect how relationships form and are maintained.
Learning Accurate Business Process Simulation Models from Event Logs via Automated Process Discovery and Deep Learning
Empirical studies have shown that, while DDS models adequately capture the observed sequences of activities and their frequencies, they fail to accurately capture the temporal dynamics of real-life processes.
CatBoost model with synthetic features in application to loan risk assessment of small businesses
In order to make the best use of the important features in the dataset, we propose a technique named "synthetic generation" to develop more combined features based on arithmetic operation, which ends up improving the accuracy and AUC of the original CatBoost model.
Universal Language Model Fine-tuning for Text Classification
Inductive transfer learning has greatly impacted computer vision, but existing approaches in NLP still require task-specific modifications and training from scratch.
Ranked #4 on
Text Classification
on AG News
Business Taxonomy Construction Using Concept-Level Hierarchical Clustering
Business taxonomies are indispensable tools for investors to do equity research and make professional decisions.
Towards Transactional Causal Consistent Microservices Business Logic
Microservices architecture has been widely adopted to develop software systems, but some of its trade-offs are often ignored.
Software Engineering
