Conference Information

DMBD 2020: International Conference on Data Mining and Big Data

Please Login to view website of conference
Free account: view official websites, track deadlines, and get email reminders.
Submission Date:
2020-03-19 Extended
Notification Date:
2020-03-31
Conference Date:
2020-07-14
Location:
Belgrade, Serbia
Years:
5
Viewed: 24739   Tracked: 14   Attend: 3
Embed deadline badge
DMBD
Get this via API
Search and ranking lists need no credentials at all; full detail for this page needs a free API key. See the developer guide.

Conference Partner Index (CP-I)

44.3 / 100
Ranked #3,116 of 5,694 conferences · Top 55%

#182 of 336 in Data Mining & Databases

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
48
Community attention (10%)
34
Public record completeness (15%)
25

Inputs used: Editions on record: 5 · Researchers following it here: 14 · Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-07

Call For Papers

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
Last updated by Dou Sun on

Related Journals

CCFFull NameImpact FactorPublisherISSN
Journal of Big Data6.4Springer2196-1115
Big Data Research4.2Elsevier2214-5796
Statistical Analysis and Data MiningWiley1932-1872
International Journal of Data Mining, Modelling and ManagementInderscience1759-1163
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

Comments 0

No comments yet.

Please Login to post a comment