Conference Information

ICDTA 2027: International Conference on Database Theory and Application

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Submission Date:
2027-05-26 Due in 231 days
Notification Date:
Conference Date:
2027-06-11
Location:
Kuala Lumpur, Malaysia
Years:
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Conference Partner Index (CP-I)

49.9 / 100
Ranked #1,656 of 5,694 conferences · Top 30%

#88 of 336 in Data Mining & Databases

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
62
Community attention (10%)
17
Public record completeness (15%)
55

Inputs used: Editions on record: 9 · Researchers following it here: 1 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-07

Call For Papers

ICDTA 2027 (International Conference on Database Theory and Application) is an academic conference held in Kuala Lumpur, Malaysia on 2027-06-11. The paper submission deadline is 2027-05-26.

The main topics include but will not be limited to (Excellent surveying works in these areas are welcome, too.) Advanced databases (object-oriented DB, web-based DB, multimedia DB, temporal and spatial DB, deductive and active DB, etc.) Biomedical and Healthcare data mining privacy Classification and Ranking Clustering Cryptographic tools for privacy-preserving data mining Data and Knowledge Visualization Data integration and Interoperability Data management for ubiquitous and mobile computing Data mining and Information extraction Data modelling and Architectures Data Provenance Data Quality Data Security, Privacy and Trust Data Streaming Dynamic Data Mining Heterogeneous Databases Inference and disclosure control for data mining Integration of Data Warehousing Interactive and Online Mining Intermittently connected data KDD Process and Human Interaction Mining Trends, Opportunities or Risks OLAP and Data Mining Parallel and Distributed Data Mining Physical database design and performance evaluation Privacy and security when mining outsourced data Privacy preserving data aggregation and integration Privacy Preserving Data Mining Privacy threats due to data mining Query processing and optimisation Reliability and Robustness Issues Scientific Databases Security and privacy in spatiotemporal data mining Semantic web and ontologies Semi-structured data, metadata Software Warehouse and Software Mining Semantic web and ontologies Temporal Data Text Mining Trust management for data mining Web Data and the Internet XML and databases, web services Data Analysis Social and Mathematical statistics
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