10% OFF

ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10

10% OFF

ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10
** Fraud Prevention Notice      Be cautious of scams involving cloned emails and fake phone numbers requesting conference or journal fees. Only make payments via Science Net's official event platform and notify us immediately at [email protected] if you suspect fraud.

Hybrid Event

11th - 12th July 2026 | Brno, Czech Republic

International Conference on Big Data Analytics with Machine Learning (ICBDAML - 26)

Apply to Present Register as Listener
Register for Participation → View available registration categories.
4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICBDAML) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Machine Learning, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Big data analytics for business insights
02
Machine learning algorithms for data analysis
03
Data preprocessing techniques for analytics
04
Real-time big data processing solutions
05
Predictive analytics in various industries
06
Big data visualization techniques
07
Ethical implications of big data usage
08
Data mining techniques for insights
09
Machine learning in financial analytics
10
Big data challenges in healthcare
11
Scalable architectures for big data
12
Big data security and privacy concerns
13
Applications of big data in marketing
14
Natural language processing in big data
15
Big data in smart city initiatives
16
Social media analytics for trends
17
Big data and machine learning integration
18
Future of big data technologies
19
Collaborative big data projects
20
Impact of big data on decision making

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

Submit Your Paper Today Register Early
2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.