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ICABDA · Registering as Listener
International Conference on Advances in Big Data Analytics
14–15 Jun 2027
Crete, Greece
Standard / Physical
Participation
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$
135
virtual · $175 in person
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Supporting global research
Connect with researchers across 30+ countries
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$175
On-site keynotes, talks, workshops, networking, conference kit and certificate.
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$135
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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
[email protected]
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
[email protected]
.
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.
8. Conference Programme and Participation Policy :
Presentations from different but relevant academic areas may be combined by the Organiser within an interdisciplinary or multidisciplinary programme to encourage cross-disciplinary understanding, interaction, and future research partnerships.
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What you'll hear about
Session tracks covered across the event.
View all 11 tracks →
01
Innovations in Predictive Analytics
This track focuses on the latest advancements in predictive analytics methodologies and their applications across various industries. Researchers are invited to present novel approaches that enhance the accuracy and efficiency of predictive models.
02
Machine Learning Techniques for Big Data
This session will explore cutting-edge machine learning algorithms tailored for big data environments. Contributions that demonstrate the scalability and effectiveness of these techniques in real-world scenarios are highly encouraged.
03
Data Visualization Strategies
This track aims to discuss innovative data visualization techniques that facilitate better understanding and interpretation of complex datasets. Papers that showcase the integration of visualization tools with big data analytics are particularly welcome.
04
Cloud Computing for Big Data Solutions
This session will investigate the role of cloud computing in enhancing big data analytics capabilities. Researchers are invited to present findings on cloud-based architectures and their impact on data processing and storage.
05
Data Integration and Management
This track addresses the challenges and solutions related to data integration from heterogeneous sources in big data environments. Contributions that propose novel frameworks for effective data management are encouraged.
06
AI-Driven Analytics in Engineering
This session will highlight the application of artificial intelligence in engineering contexts through advanced analytics. Papers that demonstrate AI's role in optimizing engineering processes and decision-making are sought.
07
Scalable Computing for Big Data Analytics
This track focuses on the development of scalable computing architectures that support large-scale data analytics. Contributions that explore performance optimization and resource management in big data applications are welcome.
08
Data Mining Techniques and Applications
This session will delve into innovative data mining techniques that extract valuable insights from large datasets. Researchers are invited to share applications of these techniques across various sectors.
09
Optimization Strategies in Big Data Systems
This track will explore optimization strategies that enhance the performance of big data systems. Contributions that address algorithmic improvements and system-level optimizations are encouraged.
10
Intelligent Systems and Data-Driven Solutions
This session will focus on the development of intelligent systems that leverage big data for enhanced decision-making. Papers that illustrate the integration of data-driven solutions in engineering practices are particularly welcome.
11
Advanced Analytics for Engineering Innovations
This track aims to showcase advanced analytics techniques that drive innovation in engineering fields. Researchers are invited to present case studies and theoretical contributions that highlight the transformative potential of big data analytics.