HYBRID EVENT: You Can Participate In Person At Addis Ababa, Ethiopia Or Virtually From Your Home Or Work
ICMLBDAIT · Registering as Listener

International Conference on Machine Learning in Big Data Analytics for IT

1–2 Sep 2026 Addis Ababa, Ethiopia Standard / Physical Participation
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$159
virtual · $231 in person
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1. Policy on Cancellations & Refunds :

  • A full refund is possible only if the cancellation request is submitted at least 70 days before the conference, with formal paperwork completed at least 60 days prior.
  • If cancellation occurs between 60 and 30 days before the event, partial refunds may be granted based on administrative costs incurred.
  • Cancellations made within 30 days of the event are non-refundable, though participants will receive a credit valid for one year.
  • Registrations made less than 30 days before the event are not eligible for refunds, but may be transferred to another ISIT conference.
  • Since this conference is hybrid format, the organizer reserves the right to conduct the event either in-person or virtually. Please note that no refunds will be issued due to changes in the event format.
  • Virtual registration fees are non-refundable. A credit will instead be issued for use at a future conference event.

2. Participation & Registration Requirements :

  • To attend an ISIT event, participants must complete the registration process within the stipulated time.
  • The event schedule, venue, and format are subject to changes at the discretion of the organizers, with prior notice sent via email.
  • ISIT is not liable for any financial losses resulting from changes in event details.
  • Fees paid for registration are strictly non-refundable.
  • If the primary author cannot participate, a co-author may attend instead, but refunds will not be granted for non-attendance.

3. Submission & Publication Norms :

  • Researchers submitting papers to ISIT must ensure their institution or supervisor is aware of their submission.
  • Each submission is subject to a rigorous peer review before being accepted for presentation.
  • Only papers linked to a completed registration will be included in conference proceedings.
  • The submitting author is considered the primary author; ISIT does not verify individual authorship claims.
  • If any concerns regarding authorship arise and are validated, the paper will be withdrawn without reconsideration.
  • Once a paper is removed, it cannot be reintroduced into any ISIT publication.

4. Travel & Accommodation Responsibilities :

  • Attendees are responsible for making their own travel and lodging arrangements.
  • ISIT does not provide logistical assistance for travel or accommodation.
  • The organization bears no responsibility for expenses incurred due to conference modifications or rescheduling.

5. Visa & Invitation Letter Policy :

  • Attendees are responsible for making their own travel and lodging arrangements.
  • ISIT does not provide logistical assistance for travel or accommodation.
  • The organization bears no responsibility for expenses incurred due to conference modifications or rescheduling.
  • ISIT does not engage directly with consulates or embassies on behalf of attendees.
  • Participants must handle their own visa applications and processes.
  • Important Information Regarding Invitation Letters:
    • The invitation letter is provided solely for conference attendance and does not serve as a document for immigration, employment, or residency purposes.
    • The letter assists in visa applications but does not guarantee visa approval.
    • ISIT holds no responsibility for visa denials or processing delays, and all related costs are borne by the applicant.
    • Any alterations or unauthorized use of the invitation letter will result in its invalidation and possible cancellation of conference participation.
    • Legal action may be pursued if the document is misused.
    • By accepting the invitation letter, attendees agree to comply with international travel regulations and ethical participation standards.

6. Registration Transfers :

  • Registrations may be transferred to another individual from the same institution if the original participant cannot attend.
  • Transfer requests must be made via email to info@isit.org.in with necessary details and supporting documents.
  • Transfers must be requested at least 14 days before the event; otherwise, they will not be accommodated.
  • Transferred registrations are not eligible for refunds.

7. General Considerations :

  • Any modifications or cancellations must be communicated in writing to info@isit.org.in.
  • Registration confirms acknowledgment and acceptance of these policies.
  • ISIT does not initiate automatic transactions; all payments are voluntarily completed by registrants.
  • Once registered, participants must submit a conference registration form within three days for confirmation.
  • Travel plans should only be finalized after receiving the official conference itinerary, which will be shared 15 days before the event.
Payments encrypted & processed securely. Refundable up to 14 days before the event.

What you'll hear about

Session tracks covered across the event.
View all 11 tracks →
This track focuses on the latest developments in machine learning algorithms tailored for big data applications. Researchers are invited to present novel methodologies that enhance predictive accuracy and computational efficiency.
This session will explore innovative techniques for processing large-scale datasets in real-time. Contributions should address challenges in data storage, retrieval, and transformation within big data environments.
This track examines the integration of intelligent systems within IT infrastructure to optimize performance and resource allocation. Papers should highlight case studies and frameworks that demonstrate the effectiveness of AI-driven solutions.
This session will discuss the role of cloud computing in enabling scalable data analytics solutions. Researchers are encouraged to present findings on cloud architectures that facilitate efficient data processing and analytics.
This track focuses on methodologies for seamless data integration and automation in big data analytics. Contributions should explore tools and frameworks that enhance data interoperability and streamline analytical workflows.
This session will delve into techniques for monitoring and optimizing the performance of big data systems. Papers should address metrics, tools, and strategies for ensuring system reliability and efficiency.
This track highlights the application of predictive analytics in informed decision-making processes across various industries. Researchers are invited to share insights on models that drive actionable outcomes from big data.
This session will explore advanced data modeling techniques that cater to the complexities of big data. Contributions should focus on innovative approaches that improve data representation and analysis.
This track emphasizes the development of AI algorithms that provide deeper insights into big data. Papers should discuss novel approaches that leverage machine learning to extract meaningful patterns and trends.
This session will examine various analytics frameworks designed to support IT solutions in big data contexts. Researchers are encouraged to present frameworks that enhance analytical capabilities and operational efficiency.
This track focuses on optimization techniques that enhance the performance of data analytics systems. Contributions should explore algorithms and methodologies that improve computational efficiency and resource utilization.