Flex Conference (Physical / Digital)

International Conference on Information Science and Data Mining (ICISDM - 26)

Call for Paper

The ICISDM provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition. The conference covers diverse topics such as Information Science encouraging participation from emerging researchers and fostering academic growth.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Data mining techniques and applications
  • Information retrieval in big data
  • Machine learning for data analysis
  • Data visualization methods and tools
  • Ethics in data mining practices
  • Social media data mining strategies
  • Predictive analytics in information science
  • Data mining for healthcare applications
  • Text mining and natural language processing
  • Data privacy and security concerns
  • Real-time data processing techniques
  • Data mining in educational contexts
  • Sentiment analysis in social media
  • Data mining for financial forecasting
  • Challenges in big data analytics
  • Data quality assessment methods
  • Cloud computing for data mining
  • Interdisciplinary approaches to data mining
  • Data mining in IoT environments
  • Future trends in information science

Review & Publication

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

Important Dates

Early Bird Registration :4th October 2026

Paper Submission Deadline :9th October 2026

Last Date of Registration : 19th October 2026

Date of Conference : 3rd - 4th November 2026

Supporting Academic Continuity

APSTE ensures that research and publication processes continue without interruption in the current global situation. Participants can present their work through digital and integrated formats.

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