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International Conference on Machine Learning Algorithms for Big Data

16–17 Nov 2026 Sydney, Australia Standard / Physical Participation
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$140
virtual · $200 in person
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Conference Programme and Participation Policy

Depending on accepted submissions and scheduling needs, the Organiser may combine compatible research themes across disciplines within an interdisciplinary or multidisciplinary programme that supports knowledge sharing, networking, and professional cooperation.

Refund, Cancellation, Postponement, Travel and Transfer of Registration:
Refund Policy:

If the registrant is unable to attend and is not in a position to transfer his/her participation to another person or event, then the following refund arrangements apply: Keeping given advance payments towards Venue, Printing, Shipping, Hotels, and other overheads, we had to keep the Refund Policy as the following slabs:

1. Cancellations made before 60 days of the conference are eligible for a full refund, subject to a $100 cancellation charge.
2. Cancellations made within 60-30 days of the conference are eligible for a 50% payment refund.
3. Cancellations made within 30 days of the conference are not eligible for a refund.
4. Virtual Participation registrations are non-refundable.

(a) The above refund policies are applicable only if the registrant has not received the official invitation letter for participation in the event, If the client receives the conference invitation letter but cannot attend the conference, no refund will be provided.

(b) If the client cannot attend the conference for any personal reasons, the registration fee is not refundable. However, the fee will be considered as a credit to participate in any of our international conferences within one year from the date of registration.

(c) In the event of a visa denial, travel reasons, or natural calamities preventing attendance, the registration fee will not be refunded. However, the fee will be considered as a credit to participate in any of our international conferences within one year from the date of registration.

(d) Since this conference is hybrid, the organizer reserves the right to conduct it in any format, physical or virtual. Refunds will not be provided for format changes.

(e) For participants who register close to the conference date or after the standard registration deadline, The registration will be considered for virtual participation only, as the conference is in hybrid mode. However, you will be eligible to attend one more international conference based on your registration category.

Cancellation Policy:

If the organizer cancels this event for any reason, you will receive a credit for 100% of the registration fee paid. You may use this credit for another event which must occur within one year from the date of cancellation.

Postponement of Event:

If the organizer postpones an event for any reason and you are unable or unwilling to attend on rescheduled dates, you will receive a credit for 100% of the registration fee paid. You may use this credit for another event which must occur within one year from the date of postponement.

Travel and Accommodation Responsibilities:

a) The responsibility for making and managing travel arrangements, including flights, transportation, and accommodation, lies solely with the individual participant.

b) In the event of any changes to the conference format, cancellation, or venue adjustments, the organizers cannot assume responsibility for any costs incurred by participants for travel or accommodation.

Transfer of registration:

All fully paid registrations are transferable to other persons from the same organization if the registered person is unable to attend the event. Transfers must be made by the registered person in writing to [email protected]. Details must include the full name of the replacement person, their title, contact phone number, and email address. All other registration details will be assigned to the new person unless otherwise specified. Registration can be transferred from one conference to another conference of the same organizer if the registrant is unable to attend one of the conferences

However, Registration cannot be transferred if it is intimated within 14 days of the respective conference. The transferred registrations will not be eligible for Refund.

Visa Information:

The organizer will not directly contact embassies and consulates on behalf of visa applicants. All delegates or invitees should take responsibility for their visa and travel arrangements. Important note for failed visa applications: Visa issues cannot come under the consideration of the cancellation policy of the organizer, including the inability to obtain a visa.

N.B:

All cancellations or modifications of registration must be made in writing to [email protected]

Payments encrypted & processed securely. Refundable up to 14 days before the event.

What you'll hear about

Session tracks covered across the conference.

This track focuses on the latest developments in machine learning algorithms tailored for big data applications. Researchers are encouraged to present novel methodologies that enhance predictive accuracy and computational efficiency.
This session will explore innovative techniques for processing and analyzing large datasets. Contributions that address scalability and performance optimization in big data environments are particularly welcome.
This track examines the integration of artificial intelligence within intelligent systems in engineering contexts. Papers should highlight practical applications and case studies that demonstrate the impact of AI on engineering processes.
This session addresses the critical aspects of data engineering and the underlying IT infrastructure necessary for big data analytics. Topics include data integration, storage solutions, and the role of cloud computing in enhancing data accessibility.
This track will showcase research on the use of predictive analytics to drive decision-making in various industries. Submissions should focus on real-world applications and the effectiveness of machine learning models in predicting outcomes.
This session will delve into optimization strategies that improve the performance of machine learning models. Contributions that propose novel optimization algorithms or frameworks are encouraged.
This track focuses on the development and evaluation of analytics frameworks designed for big data environments. Papers should discuss the architecture, scalability, and usability of these frameworks in practical scenarios.
This session explores the role of automation in streamlining data science workflows. Contributions that highlight automated machine learning processes and their implications for efficiency and accuracy are welcome.
This track will investigate the intersection of business intelligence and data visualization techniques. Papers should present innovative approaches to visualizing complex data sets and their impact on business decision-making.
This session addresses the challenges and solutions associated with scalable computing in the context of big data. Contributions that discuss distributed computing frameworks and their applications are particularly encouraged.
This track examines the transformative role of AI in driving IT innovation. Papers should explore case studies and theoretical frameworks that illustrate the synergy between AI technologies and IT advancements.