Hybrid Conferencee

International Conference on Web Data Mining and Internet Analytics (ICWDMIA - 26)

15th - 16th October 2026 | Stockholm, Sweden

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Call for Papers Extended:
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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Stockholm conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Stockholm, 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 Stockholm."
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 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Advancements in Web Data Mining Techniques

This track focuses on the latest methodologies and algorithms in web data mining. Researchers are invited to present innovative approaches that enhance the extraction of meaningful patterns from vast online datasets.

Track 02

Real-Time Analytics for Internet Applications

This session explores the challenges and solutions associated with real-time data processing in internet applications. Contributions should address techniques for immediate data analysis and decision-making in dynamic online environments.

Track 03

Knowledge Discovery from Online Data Streams

This track emphasizes the extraction of knowledge from continuous data streams generated by web interactions. Papers should discuss novel methods for handling, analyzing, and interpreting streaming data in real-time.

Track 04

Pattern Recognition in Web Usage Mining

This session aims to delve into the techniques of pattern recognition specifically applied to web usage mining. Submissions should highlight advancements in identifying user behavior patterns and trends from web logs.

Track 05

Semantic Data Mining for Enhanced Web Insights

This track investigates the application of semantic technologies in data mining processes. Researchers are encouraged to present studies that leverage semantics to improve the understanding of web data.

Track 06

Clickstream Analysis and User Behavior Modeling

This session focuses on the analysis of clickstream data to model user behavior on the web. Contributions should explore innovative techniques for understanding user navigation patterns and their implications for web design.

Track 07

Text Mining for Internet-Based Applications

This track invites papers that explore text mining techniques applied to internet data sources. Topics may include sentiment analysis, topic modeling, and information retrieval from online textual content.

Track 08

Big Data Processing in Web Analytics

This session addresses the challenges of processing large-scale data generated by web analytics. Researchers are encouraged to share solutions that optimize data handling and analysis in big data environments.

Track 09

Internet-Based Prediction Models

This track focuses on the development and evaluation of predictive models utilizing internet data. Submissions should demonstrate how these models can enhance decision-making processes in various online contexts.

Track 10

Data Visualization Techniques for Web Analytics

This session explores innovative data visualization methods tailored for web analytics. Papers should discuss how effective visualization can aid in the interpretation and communication of complex web data.

Track 11

Social Web Analytics: Trends and Challenges

This track examines the analytics of social web data, focusing on trends, methodologies, and emerging challenges. Researchers are invited to discuss the implications of social media data on user engagement and behavior analysis.