会议信息

AAIM 2024: International Conference on Algorithmic Aspects of Information and Management

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截稿日期:
2024-06-01
通知日期:
2024-07-01
会议日期:
2024-09-21
会议地点:
Dallas, Texas, USA
届数:
18
ICORE: C   QUALIS: B3   浏览: 36354   关注: 3   参加: 0

会伴指数 (CP-I)

56.0 / 100
全站第 777 名 / 共 5,687 个会议 · 前 14%

理论与算法 第 47 / 142

学术认可 (35%)
60
投稿选择性 (20%)
44
会议传承 (20%)
79
社区关注 (10%)
22
资料公开度 (15%)
55

用到的输入: 收录等级：ICORE C, QUALIS B3 · 录用率：58.5%（有记录的 5 届的均值） · 有据可查的届次：18 · 在会伴关注它的研究者：3 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 100% —— 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 2026-09-27

征稿

AAIM 2024 (International Conference on Algorithmic Aspects of Information and Management) is a ICORE C / QUALIS B3 conference held in Dallas, Texas, USA on 2024-09-21. The paper submission deadline is 2024-06-01. Acceptance notifications are sent on 2024-07-01.

The 18th International Conference on Algorithmic Aspects in Information and Management (AAIM 2024) will be held during September 21-23, 2024 through online conferencing tools. Interesting new results in all areas of algorithm design, operation research and combinatorial optimization and their applications are welcome. Both theoretical and experimental/applied works of general algorithmic interest are sought. Special considerations will be given to algorithmic research that is motivated by real-world applications. Experimental and applied papers are expected to show convincingly the usefulness and efficiency of the target algorithms in practical settings. The topics include, but are not limited to: Algorithms and data structures Algorithmic game theory and incentive analysis Approximation algorithms and online algorithms Automata, languages, logic, and computability Bioinformatics, computational biology and medicine, and biomedical applications Biomedical imaging algorithms Blockchain Combinatorial optimization Combinatorics and discrete structures related to algorithms and complexity Communication networks and optimization Complexity theory Computational algebra, geometry, number theory, and statistics Computational learning theory, knowledge discovery, and data mining Cryptography, reliability, and security Database theory, large databases, and natural language processing Experimental algorithmic methodologies Geometric information processing and communication Graph algorithms and theory Graph drawing and information visualization Internet algorithms and protocols Large graph algorithms and social network analysis Optimization algorithms in economic and operations research Parallel and distributed computing and multicore algorithms Parameterized algorithms, heuristics, and analysis Pattern recognition algorithms Trustworthy algorithms and trustworthy software
由 Dou Sun 最后更新于

录用率

平均录用率: 54.6% 11 年间 (2007–2022).

年份提交数录用数录用率(%)
2022594169.5%
2021623861.3%
2020763951.3%
2016411843.9%
2014453066.7%
2013603355%
2012813340.7%
2010503162%
2009412561%
2008533056.6%
20071203932.5%

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相关期刊

CCF全称影响因子出版商ISSN
International Journal of Information Management27.0Elsevier0268-4012
CInformation & Management8.2Elsevier0378-7206
Information Technology and Management2.9Springer1385-951X
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655

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