Hybrid Conferencee

International Conference on Data Mining and Applications (ICDMA - 27)

19th - 20th February 2027 | Santo Domingo, Dominican Republic
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Santo Domingo. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Santo Domingo event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Santo Domingo conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Santo Domingo, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Santo Domingo."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
Track 01

Advanced Data Mining Techniques

This track focuses on innovative methodologies and algorithms that enhance data mining processes. Researchers are invited to present their findings on novel techniques that improve accuracy and efficiency in data extraction.

Track 02

Scalable Data Preprocessing and Cleaning Techniques

This session aims to explore scalable approaches for data preprocessing and cleaning, which are critical for effective data mining. Contributions should address challenges and solutions in handling large datasets.

Track 03

Social Network Mining and Analysis

This track delves into the mining of social networks, emphasizing techniques for analyzing user interactions and community structures. Papers should highlight applications and implications of social network analysis in various domains.

Track 04

Parallel and Distributed Data Mining Algorithms

This session will cover advancements in parallel and distributed algorithms for data mining, focusing on their scalability and performance. Researchers are encouraged to share empirical results and theoretical insights.

Track 05

Text, Video, and Multimedia Data Mining

This track invites submissions that explore data mining techniques applied to text, video, and multimedia content. The focus will be on innovative methods for extracting meaningful insights from diverse data formats.

Track 06

Web Mining and E-Commerce Applications

This session will examine the intersection of web mining and e-commerce, highlighting techniques that enhance online business strategies. Contributions should discuss practical applications and case studies in the e-commerce domain.

Track 07

Data Mining in Healthcare and Medical Informatics

This track focuses on the application of data mining techniques in healthcare and medical informatics. Researchers are invited to present studies that demonstrate how data mining can improve patient outcomes and healthcare processes.

Track 08

Emerging Applications of Large-Scale Data Mining

This session aims to showcase innovative applications of large-scale data mining across various industries. Submissions should highlight real-world implementations and the impact of data mining on business and society.

Track 09

Security and Privacy in Data Mining

This track addresses the critical issues of security and privacy in data mining practices. Papers should explore methodologies that ensure data protection while maintaining the utility of mined information.

Track 10

Modeling Complex Social Systems

This session will focus on the use of data mining techniques to model and analyze complex social systems. Contributions should discuss theoretical frameworks and empirical studies that illustrate the dynamics of social interactions.

Track 11

Data Mining Visualization Techniques

This track emphasizes the importance of visualization in data mining, focusing on techniques that enhance the interpretability of complex datasets. Researchers are encouraged to present innovative visualization methods and their applications.