2026 International Conference on Intelligent Computing and Business Big Data

At ICICBD 2026, attendees can expect a comprehensive program covering intelligent computing, business big data, and their cross-cutting applications. The conference features advances in machine learning and deep learning—including reinforcement learning, transfer learning, federated learning, graph neural networks, and large-model fine-tuning—alongside data mining and knowledge discovery topics such as heterogeneous feature extraction, association rule mining, anomaly detection, and explainable AI. Additional tracks cover computer vision and pattern recognition for retail spatial analysis, behavior trajectory tracking, product recognition, and biometric authentication; natural language processing for sentiment analysis, intelligent customer service semantics, LLM-driven business text generation, and public opinion monitoring; and distributed computing with cloud-edge-device collaboration, real-time stream processing, and high-performance financial computing.

The conference promotes interdisciplinary work connecting intelligent computing with economic and financial modeling. Topics include macroeconomic forecasting using unconventional big data, industrial chain mapping, digital economy accounting, quantitative finance and algorithmic trading, blockchain and digital currency analytics, DeFi risk assessment, smart contract auditing, and supply chain optimization covering risk prediction, dynamic pricing, intelligent replenishment, and logistics planning.

Sessions also address digital marketing and consumer behavior intelligence, with focus areas in recommender systems and look-alike diffusion for precision marketing, multimodal affective computing for consumer insights, social network and opinion mining for sentiment propagation and KOL evaluation, and digital twin-based decision support systems.