会议信息

ISCBI 2027: International Symposium on Computational and Business Intelligence

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截稿日期:
2026-08-30 已截稿
通知日期:
2026-09-30
会议日期:
2027-02-26
会议地点:
Macau, China
届数:
浏览: 17671   关注: 1   参加: 0
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会伴指数 (CP-I)

50.0 / 100
全站第 1,660 名 / 共 5,759 个会议 · 前 29%

数据挖掘与数据库 第 86 / 339

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
62
社区关注 (10%)
19
资料公开度 (15%)
55

用到的输入: 有据可查的届次：9 · 在会伴关注它的研究者：1 人 · 过去 24 个月打开过本页的研究者：4 人

公开资料里还缺: 历年录用率 (+4.5) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.2 · 算于 2026-10-22

征稿

ISCBI 2027 (International Symposium on Computational and Business Intelligence) is an academic conference held in Macau, China on 2027-02-26. The paper submission deadline is 2026-08-30. Acceptance notifications are sent on 2026-09-30.

We invite submissions of original research papers for the International Symposium on Computational and Business Intelligence (ISCBI). The conference aims to bring together researchers and practitioners from academia and industry to share their latest research, ideas, and developments in the fields of Computational & Business Intelligence. 1. Business Intelligence Analysis of business intelligence applications and analytics Applications in business intelligence Business intelligence and CRM Business intelligence and market analysis and marketing Business intelligence in logistics and supply chain management Data mining Autonomous agents and multi-agent systems Case studies in business intelligence Data mining methodologies for business intelligence Business intelligence architectures Knowledge management and business intelligence Business intelligence for security analysis and fraud detection Decision making for business intelligence Statistical methods for business intelligence 2. Computational Intelligence 2.1 Neural Networks and Neural Information Processing Associative memories Computational neuroscience Connectionist theory and cognitive science Mathematical modeling of neural systems Neurodynamic optimization and adaptive dynamic programming Principal component analysis and related methods Hybrid intelligent systems Supervised, unsupervised and reinforcement learning Brain computer interface Neuroinformatics and bioinformatics Support vector machines and kernel methods Image processing Computer vision & pattern recognition Time series analysis Robotic and control applications Fraud detection Hardware implementation Real-world applications Emerging areas in neural networks 2.2 Fuzzy Systems Fuzzy information processing Fuzzy decision making Fuzzy logic and fuzzy set theory Fuzzy hybrids Fuzzy and rough data analysis Fuzzy optimization and design Fuzzy systems modeling and identification Fuzzy mathematics Fuzzy systems architectures and hardware Fuzzy image processing & pattern recognition Fuzzy control and systems Fuzzy data mining and forecasting Real-world applications Emerging areas in fuzzy systems 2.3 Evolutionary Computation Ant colony optimization Artificial immune systems Artificial life Bioinformatics and bioengineering Classifier systems Coevolution and collective behaviour Cognitive systems and applications Evolutionary combinatorial and numerical optimization Constraints and uncertainty handling Cultural algorithms Cuckoo search Differential evolution Estimation of distribution algorithms Evolutionary computation for bioinformatics Evolutionary computation in dynamic and uncertain environments Evolutionary computer vision Evolutionary data mining Evolutionary intelligent agents Evolutionary learning systems Evolutionary robotics Evolutionary techniques in economics, finance and marketing Evolvable hardware and software Evolved art and music Evolving neural networks and fuzzy systems Hybrid optimisation algorithms Memetic and hybrid algorithms Evolutionary multi-objective optimization Molecular and quantum computing Particle swarm optimization Real-world applications Representation and operators Self-adaptation in evolutionary algorithms Swarm Intelligence Theory of evolutionary computation Emerging areas in evolutionary computation
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