PAKDD 2027 — 31st Pacific-Asia Conference on Knowledge Discovery and Data Mining

PAKDD 2027, the 31st Pacific-Asia Conference on Knowledge Discovery and Data Mining, takes place in Wellington, New Zealand from 29 June to 2 July 2027, hosted by Victoria University of Wellington. PAKDD is one of the longest-established international conferences in data mining and knowledge discovery, and a premier forum for data science, machine learning and AI research across the Asia-Pacific. The programme combines keynotes, double-blind peer-reviewed research papers, workshops, tutorials and a doctoral consortium. Submissions run through a Research Track, an Applied Data Science Track, a Survey Track and a Special Track on Large Language Models and Agentic AI in Data Science, which this year extends the LLM focus to autonomous agents for data analysis, discovery and knowledge extraction. It follows PAKDD 2026 in Hong Kong and PAKDD 2025 in Sydney; attendance is in person.

• Paper submission deadline (Research, Applied Data Science, Survey and LLM & Agentic AI tracks)Nov 20, 2026
• Notification to authorsFeb 26, 2027
• Camera-ready deadlineMar 19, 2027

Date

June 29 – July 2, 2027

Location

Wellington, New Zealand

Format

In-Person

Event Type

Conference

Status

Upcoming

Pricing

Paid

Organizer

PAKDD Steering Committee / Victoria University of Wellington

Added

Sep 23, 2026

Updated

Sep 23, 2026

• ✓Machine learning researchers
• ✓Data scientists
• ✓Heads of data science and analytics
• ✓AI research engineers
• ✓PhD students and academics in data mining
• ✓Applied AI teams in industry

For a head of data science or AI research lead, PAKDD 2027 is where the Asia-Pacific data mining community publishes applied and theoretical work a year before it reaches vendor roadmaps — this edition with a dedicated track on LLM agents for data analysis, text-to-SQL, RAG reliability and hallucination detection. It is a practical place to recruit researchers from ANZ and Asian universities, benchmark internal methods against peer-reviewed work, and submit applied papers by the 20 November 2026 deadline.

• ✓Research Track: theoretical foundations, learning methods and algorithms, data processing for learning, security/privacy/ethics and information integrity, interdisciplinary applications
• ✓Special Track on Large Language Models and Agentic AI in Data Science (co-chairs Wenbin Zhang, Florida International University, and Mahardhika Pratama, Adelaide University)
• ✓Applied Data Science Track
• ✓Survey Track
• ✓Workshops and tutorials
• ✓Doctoral Consortium
• ✓Keynote presentations

• ★One of the longest-running data mining conferences (31st edition) and the main Asia-Pacific counterpart to KDD and ECML PKDD.
• ★A dedicated Special Track on Large Language Models and Agentic AI in Data Science, covering LLM-driven data preparation, text-to-SQL, RAG, hallucination detection and multi-agent analysis systems.
• ★Separate Applied Data Science and Survey tracks alongside the Research Track, so deployed-system and review papers have their own venue.
• ★Double-blind peer review with Springer LNCS proceedings; general chairs include Albert Bifet (Télécom Paris / University of Waikato) and Longbing Cao (Macquarie University).

Registration fees are not yet published; the organisers list registration opening and early-registration deadlines as 'to be announced'. Accepted papers require in-person attendance.

When is PAKDD 2027?

PAKDD 2027 takes place June 29 – July 2, 2027 in Wellington, New Zealand.

Where is PAKDD 2027 held?

PAKDD 2027 is held in Wellington, New Zealand. The event format is in-person.

What is the PAKDD 2027 submission deadline?

The next PAKDD 2027 deadline is paper submission deadline (research, applied data science, survey and llm & agentic ai tracks) on Nov 20, 2026. Remaining dates: Notification to authors — Feb 26, 2027; Camera-ready deadline — Mar 19, 2027.

How much does PAKDD 2027 cost?

PAKDD 2027 is paid. Registration fees are not yet published; the organisers list registration opening and early-registration deadlines as 'to be announced'. Accepted papers require in-person attendance.

Who should attend PAKDD 2027?

PAKDD 2027 is aimed at Machine learning researchers, Data scientists, Heads of data science and analytics, AI research engineers, PhD students and academics in data mining, Applied AI teams in industry.

What topics does PAKDD 2027 cover?

PAKDD 2027 covers Data mining, Machine learning, Large language models, Agentic AI, Graph mining, Anomaly detection, Causal learning, Trustworthy and fair ML, Privacy-preserving data mining, Retrieval-augmented generation, Text-to-SQL.

This page was written from 6 sources, 1 on domains other than pakdd2027.org.

1. 1.pakdd2027.org — pakdd2027.orgvendor
2. 2.pakdd2027.org — datesvendor
3. 3.pakdd2027.org — researchvendor
4. 4.pakdd2027.org — llm agenticvendor
5. 5.pakdd2027.org — committeevendor
6. 6.pakdd.org — pakdd.org