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ISCBI 2027: International Symposium on Computational and Business Intelligence

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投稿締切日:
2026-08-30 締切済み
通知日:
2026-09-30
開催日:
2027-02-26
開催地:
Macau, China
開催回数:
閲覧: 17670   フォロー: 1   参加: 0
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ISCBI
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会伴インデックス (CP-I)

50.0 / 100
全 5,759 件中 第 1,660 位 · 上位 29%

データマイニング・データベース 分野 339 件中 第 86 位

学術的評価 (35%) データなし — 中立の基準値 50 点として算入 —
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
62
コミュニティの注目度 (10%)
19
公開情報の充実度 (15%)
55

使用した入力: 確認できる開催回数：9 · 会伴でフォローしている研究者：1 人 · 過去 24 か月にこのページを開いた研究者：4 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 最優秀論文の記録 (+2.3)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 45% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.2 · 算出日 2026-10-22

論文募集

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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Information Systems and e-Business Management3.6Springer1617-9846
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CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
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