会议信息

ICACDS 2026: International Conference on Advances in Computing and Data Sciences

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ICACDS
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截稿日期:
2026-08-31
通知日期:
2026-11-01
会议日期:
2026-12-04
会议地点:
PIET, Panipat, India
届数:
浏览: 16576   关注: 3   参加: 0

会伴指数 (CP-I)

51.0 / 100
全站第 1,349 名 / 共 5,682 个会议 · 前 24%

数据挖掘与数据库 第 66 / 337

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%)
65
社区关注 (10%)
24
资料公开度 (15%)
55

用到的输入: 有据可查的届次：10 · 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：3 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 1.1 · 算于 2026-09-19

征稿

ICACDS 2026 (International Conference on Advances in Computing and Data Sciences) is an academic conference held in PIET, Panipat, India on 2026-12-04. The paper submission deadline is 2026-08-31. Acceptance notifications are sent on 2026-11-01.

ICACDS-2026 conference will host Keynote Lectures, Tutorials, Workshops and Oral Presentations on all aspects of Advanced Computing. The Conference is being organized specifically to help the Computer Industry derive benefits from the advances of next generation computer and computing technologies. Researchers invited to speak, will present the latest developments and technical solutions in the areas of: Advanced Computing and Data Sciences. ICACDS-2026 is soliciting original, previously unpublished and high quality research papers addressing research challenges and advances in the tracks mentioned below. The maximum allowable length of the paper is 14 pages (including figures and references) for regular research articles strictly in SPRINGER SINGLE COLUMN FORMAT. Articles will be Double-Blind Peer-Reviewed by three experts to decide its suitability for publication in the conference. Acceptance of papers will be communicated to authors by email. The theme of ICACDS 2026 is "Advanced Computing and Data Sciences in Smart Computing" . The topics of the conference are: Track 1: Data Science Data Analytics Change Detection Medical informatics Big data representation and visualization Business intelligence, data-lakes, big-data technologies Text Analytics Image interpretations Crowdsourcing and collective intelligence Data Security Track 2: Advanced Computing Advanced computing architectures and new programming models Sequential, parallel and distributed algorithms and data structures Pervasive and Ubiquitous Computing techniques Computational methods and algorithms High performance computing and processing Prediction theory
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