HYBRID EVENT: You Can Participate In Person At Athens, Greece Or Virtually From Your Home Or Work
ICADK · Registering as Listener

International Conference on AI-driven Data Analytics and Knowledge Discovery

1–2 Sep 2026 Athens, Greece Standard / Physical Participation
Listener Registration
$169
virtual · $246 in person
Registration Benefits:
Official invitation letterIssued automatically after registration
Certificate & digital materialsGet certificate, slides and resource materials
Supporting global researchConnect with researchers across 30+ countries

Select registration mode

Prices are shown before tax and bank charges — no surprises at checkout.
All sessions Networking Certificate Invitation letter Conference kit

Your details

We only need what's required to register and email your confirmation. Everything else is optional.

Coupon code

Have a code? Apply it here — the discount updates the total immediately.
Apply
Try FAST10 for 10% off on eligible registrations.

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 advancements in AI-driven data analytics techniques. It aims to explore innovative methodologies that enhance data interpretation and decision-making processes.
This session will delve into the application of machine learning algorithms in various engineering domains. Participants will discuss case studies showcasing the effectiveness of these models in solving complex engineering problems.
This track emphasizes the development and application of pattern recognition techniques within data science. Researchers will present novel approaches to identify and classify patterns in large datasets.
This session will explore clustering methods that facilitate the extraction of insights from big data. The focus will be on novel algorithms and their applications in real-world scenarios.
This track will cover the principles and applications of association rule mining in knowledge discovery. Participants will share their findings on how these rules can uncover hidden relationships in data.
This session will highlight innovative data visualization techniques that aid in the interpretation of complex datasets. Attendees will discuss best practices for effectively communicating data-driven insights.
This track focuses on the integration of business intelligence tools with predictive modeling techniques. Discussions will center on how these approaches can drive strategic decision-making in organizations.
This session will explore advanced methods for anomaly detection in engineering systems. Researchers will present their work on identifying unusual patterns that may indicate system failures or inefficiencies.
This track will examine the role of knowledge graphs in enhancing the understanding of data relationships. Participants will discuss their applications in various fields, including engineering and data science.
This session will focus on the intersection of natural language understanding and data analytics. Researchers will present methodologies that leverage NLP techniques to extract insights from unstructured data.
This track will explore the development of decision support systems that utilize AI technologies. Participants will discuss the impact of these systems on improving decision-making processes in engineering contexts.