会议信息

DMBD 2020: International Conference on Data Mining and Big Data

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截稿日期:
2020-03-19 延期
通知日期:
2020-03-31
会议日期:
2020-07-14
会议地点:
Belgrade, Serbia
届数:
5
浏览: 24744   关注: 14   参加: 3
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DMBD
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会伴指数 (CP-I)

44.3 / 100
全站第 3,116 名 / 共 5,694 个会议 · 前 55%

数据挖掘与数据库 第 182 / 336

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%)
48
社区关注 (10%)
34
资料公开度 (15%)
25

用到的输入: 有据可查的届次：5 · 在会伴关注它的研究者：14 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 2026-10-07

征稿

DMBD 2020 (International Conference on Data Mining and Big Data) is an academic conference held in Belgrade, Serbia on 2020-07-14. The paper submission deadline is 2020-03-19 (extended). Acceptance notifications are sent on 2020-03-31.

DMBD 2020 will feature plenary lectures given by worldwide renowned speakers, regular sessions with broad coverage, and some special sessions focused on some popular topics. Major topics to be addressed at the conference include, but are not limited to the following areas: Topics of interest include, but are not limited to: Data Mining Theory, algorithms and models of data mining Machine learning for data mining Statistical methods for data mining Data mining systems Mining text, semi-structured, spatio-temporal, streaming, graph, web, multimedia data Data mining in personalization and recommendation Case-Based Reasoning Similarity-Based Reasoning Clustering Classification Prediction Algorithms Association rules Capability indices Deviation and novelty detection Conceptional learning Inductive learning Organisational Learning Evolutional learning Sampling methods Similarity measures Similarity learning Statistical learning Neural Net Based Learning Feature Learning Frequent pattern mining Applications in all aspects of data mining Big Data Data models and architectures Security, privacy, and trust Data protection and integrity Identity theft, data loss and leakage Legal and ethicalissues Data analytics and metrics Data representation and structures Data management and processing Data capturing and acquisition Tools and technologies QoS in big data Applications Social networks analysis Data searching and mining Visualisation of data Personal data logging and quantified-self Context-aware data Data economics Applications of datamining and big data Methodologies and use cases Usability issues Storages and network requirements Network models and protocols Big data in cloud and IoT Techniques for Big Data Processing
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