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ICBDACI 2019: International Conference on Big Data Analytics And Computational Intelligence

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截稿日期:
2019-06-30
通知日期:
2019-09-01
会议日期:
2019-10-24
会议地点:
Chennai, Tamil Nadu, India
届数:
2
浏览: 13774   关注: 1   参加: 0

会伴指数 (CP-I)

38.7 / 100
全站第 5,343 名 / 共 5,682 个会议 · 前 95%

数据挖掘与数据库 第 320 / 337 人工智能与机器学习 第 689 / 739

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%)
30
社区关注 (10%)
15
资料公开度 (15%)
25

用到的输入: 有据可查的届次：2 · 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：2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 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 1.1 · 算于 2026-09-16

征稿

ICBDACI 2019 (International Conference on Big Data Analytics And Computational Intelligence) is an academic conference held in Chennai, Tamil Nadu, India on 2019-10-24. The paper submission deadline is 2019-06-30. Acceptance notifications are sent on 2019-09-01.

ICBDACI 2019 invites a proposal to organize a special session. Below is the list of special session you may wish to choose or if you have something new to propose, please send email to: [email protected]. Computational Intelligence in Feature Analysis, Selection, and Learning in Image and Pattern Recognition Neural networks for feature analysis Fuzzy systems for feature analysis Hybridization of evolutionary computation and neural networks, and fuzzy systems for feature selection and construction Hybridization of evolutionary computation and machine learning, information theory, statistics, mathematical modelling, etc., for feature analysis Feature analysis in classification, clustering, regression, image analysis, signal processing, and other tasks Feature ranking/weighting Feature selection Feature construction/extraction Multi-objective feature selection, construction or extraction Feature analysis on high-dimensional and large-scale data Analysis on computational intelligence for feature selection and construction/extraction algorithms Evolutionary computation for feature analysis Intelligence in Vehicles and Transportation Systems Automated driving and driverless car Learning and adaptive Control Object recognitions such as pedestrian detection, traffic sign detection and recognition Route guidance systems Trip modeling and driver speed prediction Vehicle energy management and optimization in hybrid vehicles Advanced transportation information and communication systems Cloud computing and big data in transportation and vehicle systems Multimodal intelligent transport systems and services Personalized driver and traveler support systems Simulation and forecasting models Connected vehicles of the future. Air, Road, and Rail Traffic Management Advanced Transportation Management Collision detection and avoidance vehicle communications and connectivity Driver state detection and monitoring Driver assistance and automation systems Vehicle fault diagnostics and health monitoring Computational Intelligence for Financial Engineering & Economics Big Data Finance & Economics Intelligent Trading Agents Trading Room Simulation Time Series Analysis Financial Data Mining Rules and XBRL for Financial Engineering Applications Semantic Web and Linked Data for Computer & Engineering Applications & Models Risk Management Pricing of Structured Securities Asset Allocation Trading Systems Forecasting Risk Arbitrage Behavioral Finance Exotic Options Portfolio Optimization Front/Back Office Operations Agent-based Computational Economics
由 Dou Sun 最后更新于

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