HYBRID EVENT: You can participate in person at Rome, Italy or Virtually from your home or work
Scholars Forum Listener Registration

International Conference on Data Analytics and Predictive Modeling Techniques (ICDAPMT - 27)

7th - 8th January 2027 Rome, Italy
Hybrid Access Invitation Support

Join researchers, academicians, professionals, and industry experts from around the world to exchange knowledge, engage in academic discussions, and advance solutions for a sustainable future.

Academic Participation Experience

Engage in high-quality sessions, gain insights from domain experts, and be part of meaningful academic discussions.

Official Invitation Letter Available

Registered listeners can request an official invitation letter after successful registration confirmation.

Benefits of Registering as Listener
Access to All Conference Sessions

Attend keynote, plenary and technical sessions across relevant tracks.

Networking Opportunities

Connect with global researchers, professionals and domain experts.

Certificate of Participation

Receive an official participation certificate after successful attendance.

Invitation Support

Request invitation letter support after confirmed registration.

Conference Materials

Access available abstracts, session resources and digital materials.

Expert Insights

Gain knowledge from leading speakers and field specialists.

2 Participant Details
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4 Terms & Condition
Conference Programme and Participation Policy:

The Organiser may create shared sessions for research themes spanning more than one discipline, enabling participants to exchange knowledge, build professional relationships, and identify new opportunities for academic 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]

I agree and accept the Terms and Conditions of the website https://scholarsforum.net/

Conference Session Tracks

Aligned with United Nations Sustainable Development Goals

Our conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 3 SDG 4 SDG 8 SDG 9 SDG 11 SDG 13
01 Advanced Statistical Methods in Data Science
This track focuses on the latest advancements in statistical methodologies that enhance data analysis and interpretation. Participants will explore innovative techniques that improve the robustness and accuracy of statistical models in various applications.
02 Machine Learning Algorithms for Predictive Analytics
This session will delve into the development and application of machine learning algorithms tailored for predictive analytics. Attendees will discuss the effectiveness of various models in forecasting and decision-making processes.
03 Optimization Techniques in Big Data Analytics
This track emphasizes optimization strategies that are crucial for managing and analyzing large datasets. Participants will examine methods that enhance computational efficiency and model performance in big data environments.
04 Neural Networks and Deep Learning Applications
This session will explore the transformative impact of neural networks and deep learning on data analytics. Researchers will present case studies showcasing their applications in diverse fields such as healthcare, finance, and marketing.
05 Statistical Simulation and Modeling Techniques
This track will cover the role of simulation in statistical modeling and its applications in real-world scenarios. Participants will learn about various simulation techniques that aid in understanding complex systems and processes.
06 Data Mining Techniques for Knowledge Discovery
This session focuses on data mining methodologies that facilitate the extraction of valuable insights from large datasets. Attendees will discuss the integration of data mining with statistical analysis to enhance knowledge discovery.
07 Regression Analysis and Its Applications
This track will examine the principles and applications of regression analysis in various domains. Participants will explore advanced regression techniques that improve predictive accuracy and model interpretation.
08 Classification and Clustering Techniques in Data Science
This session will investigate the methodologies of classification and clustering as essential tools in data science. Attendees will discuss their applications in pattern recognition and data categorization.
09 Forecasting Methods in Statistical Analysis
This track will highlight various forecasting techniques used in statistical analysis for predicting future trends. Participants will explore the effectiveness of these methods in different sectors, including economics and environmental science.
10 Decision Support Systems and Predictive Modeling
This session will focus on the integration of predictive modeling techniques within decision support systems. Attendees will discuss how these systems enhance decision-making processes across various industries.
11 Quantitative Analysis in Business and Economics
This track will explore the application of quantitative analysis in business and economic research. Participants will examine statistical methods that inform strategic decision-making and policy formulation.