Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)*

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The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is an international conferences in the areas of data mining and knowledge discovery. It provides an international forum for researchers and industry practitioners to share their latest developments, new ideas, original research results and practical development experiences from all KDD related areas including data mining, statistical and symbolic machine learning, databases, knowledge acquisition and automatic scientific discovery, data visualization, and knowledge-based systems.

Conference History:

25th PAKDD 2021, May 11-14, 2021, Delhi, India Virtual venue
(Host: School of Computer & Systems Sciences, Jawaharlal Nehru University; Data Sciences and Analytics Center, International Institute of Information Technology Hyderabad)

Conference Workshops:
MLMEIN – Workshop on Machine Learning for MEasurement INformatics
LDRC’21 – The 3th Workshop on Learning Representation
MICMED – Workshop on Machine Intelligence Coinciding with Data Mining Applications in Biology and Medicine

Conference Tutorials:
DL4Code: Deep Learning for Programming, Compilers & Code Generation
Fairness in Healthcare Machine Learning: A Practical Guide
Recent Advances in Pairwise Preference Learning

Research Sessions:
Applications of Knowledge Discovery; Classical Data Mining; Data Mining of Specialized Data; Data Mining Theory and Principles; Recommender Systems; Representation Learning and Embedding; Text Analytics; Deep Learning; Speech and Text Analytics

Keynotes: Academic+Industry
Academic: Getting AI Agents to Interact and Collaborate with Us on Our Terms; Machine Learning as a Service: The Challenges of Serving a Million client Distributions; TBD
Industry: TBD

24th PAKDD 2020, May 11-14, 2020, Singapore Virtual venue
(Host: Living Analytics Research Center, Singapore Management University)

Pre-conference Workshops: (May 11)
First International Workshop on Literature-Based Discovery (LBD 2020); Workshop on Data Science for Fake News; Workshop on Learning Data Representation for Clustering (LDRC 2020); Ninth Workshop on Biologically Inspired Techniques for Data Mining (BDM 2020); First Pacific Asia Workshop on Game Intelligence & Informatics (GII 2020)

Pre-conference Tutorials: (May 11)
Deep Bayesian Learning and Mining; Deep Explanations in Machine Learning via Interpretable Visual Methods

Research Sessions’ Topics:
Classification; Unstructured Data; Supervised Learning; Clustering; Representation Learning; Scientific Data; Sequential/Dynamic Data; Recommendation System; Statistical Learning; Classification; Graph/Network/Social Data; Parallel/Distributed Mining; Behavior Data; Multi-Source data; Spatial Data; Imbalanced Data; Deep Learning

Keynotes: Academic+Industry
Academic: Data analysis with humans; Advancements in Graph Neural Networks; Open-World AI and Continual Learning
Industry: Making AI work in practice: Why Data is so Essential to AI and Towards Data Science Standards; AI for Health: How to Make the World a Better Place with Machine Learning

23rd PAKDD 2019, April 15-18, 2019, Macau, China
(Host: Department of Computer and Information Science, University of Macau)

Pre-conference Workshops: (Apr 14)
PAISI – The 14th Pacific Asia Workshop on Intelligence and Security Informatics; WeL – PAKDD 2019 Workshop on Weakly Supervised Learning: Progress and Future; LDRC – Learning Data Representation for Clustering; BDM – The 8th Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining; DLKT – The 1st Pacific Asia Workshop on Deep Learning for Knowledge Transfer

Pre-conference Tutorials: (Apr 14/15)
Causally Regularized Machine Learning; IoT Big Data Stream Mining; Knowledge Graph Embedding and Applications; Statistical Machine Learning of Large, Sparse, and Multi-source Data; Building and Evaluating a Production-ready Recommendation System; Blockchain Data Analytics

Research Sessions:
Classification and Supervised Learning; Text and Opinion Mining; Deep Learning Models and Applications; Spatio-Temporal and Stream Data Mining; Sequential Pattern Mining; Representation Learning and Embedding; Weakly Supervised Learning; Recommender System; Social Network and Graph Mining; Data Pre-Processing and Feature Selection; Mining Unstructured and Semi-structured Data; Behavioral Data Mining; Visual Data Mining; Knoweldge Graph and Interpretable Data Mining

Keynotes:
Towards Relational AI — the good, the bad, and the ugly of learning over networks; Empowering Subjects, Users and Controllers when Anonymizing Big Data for Knowledge Discovery and Data Mining

22nd PAKDD 2018, June 3-6, 2018, Melbourne, Australia
(Host: School of Information Technology, Deakin University)

Pre-conference Workshops: (Jun 3)
PAISI – The 12th Pacific Asia Workshop on Intelligence and Security Informatics; BDM – The 7th Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining; BDASC – Big Data Analytics for Social Computing; DaMEMO – Data Mining for Energy Modeling and Optimization; ML4Cyber – Australasian Workshop on Machine Learning for Cyber-security

Pre-conference Tutorials: (Jun 3)
Deep Learning for Biomedical Discovery and Data Mining; Non-IID Recommender Systems in Practice with Modern AI Techniques; Relevant Structure Search in Graph Databases: Methods and Applications

Research Sessions:
Classification and supervised machine learning; Human, Behaviour and Interactions (Application); Opinion Mining and Sentiment Analysis; Representation Learning and Embedding; Semi-Structured Data and NLP; Spatial-Temporal, Time-series and Stream Mining; Feature Learning and Data Mining Process; Social Network, Ubiquitous Data and Graph Mining; Community Detection and Network Science; Deep Learning Theory and Applications in KDD; Clustering and Unsupervised Learning; Social Network, Ubiquitous Data and Graph Mining; Recommendation and Data Factorization

Keynotes:
Continuous Machine Learning; Machine Learning @ Amazon

21st PAKDD 2017, May 23-26, 2017, Jeju, South Korea
(Hosts: Korean Institute of Information Scientists and Engineers; Electrical and Computer Engineering Department, Seoul National University)

Pre-conference Workshops: (May 23)
1st Workshop on Data Mining in Business Process Management; 4th Workshop on Machine Learning for Sensory Data Analytics; 6th Workshop on Biologically Inspired Data Mining Techniques

Pre-conference Tutorials: (May 23)
Advances in Recommender System

Research Sessions:
Classification and Deep Learning; Social Network and Graph Mining; Spatio-Temporal and Sequential Data Mining; Clustering and Anomaly Detection; Recommender Systems; Text and Opinion Mining; Clustering and Matrix Factorization; Dynamic, Stream Data Mining; Behavioral Data Mining; Graph Clustering and Community Detection

Keynotes:
Big Data or Big Garbage? A Tale of a Quest for Insights from Social Data

20th PAKDD 2016, April 19-22, 2016, Aukland, New Zealand
(Host: Department of Computer Science, University of Aukland)

Pre-conference Workshops: (Apr 19)
BDM – 5th PAKDD Workshop on Biologically Inspired Data Mining Techniques; MLSDA – Machine Learning for Sensory Data Analysis; WDMBF – Workshop on Data Mining in Business and Finance

Pre-conference Tutorials: (Apr 19)
Medical Mining; Population Informatics using Big Data; Deep Learning Implementations and Frameworks; Succinct Data Structure for Scalable Knowledge Discoveries

Research Sessions:
Classification Methods; Mining Images; Applications; Pattern Mining; Mining dynamic/streaming and behavioural data; Privacy Preserving Data Mining; Mining Social Networks; Mining Graph and Network data; Classification and association with feature extraction and selection; Classification with Statistical Methods; Mining texts and Documents; Mining sequential, temporal and spcial data; Clustering; Classification of Structure; Recommender System

Keynotes:
Beyond data: delivering efficiencies in health care and pervasive systems

19th PAKDD 2015, May 19-22, 2015, Ho Chi Minh City, Viet Nam
(Host: John Von Neumann Institute, Vietnam National University)

Pre-conference Workshops: (May 19)
QIMIE: Quality issues, measures of interestingness and evaluation of data mining models
DAEBH: Data Analytics for Evidence-based Healthcare
BDM: 4th PAKDD workshop on Biologically inspired data mining techniques
BigPMA: 2nd workshop on Pattern Mining and Application of Big Data

Pre-conference Tutorials: (May 20)
Crowdsourcing for Big Data Analytics

Research Sessions:
Social Networks and Social Media; Classification; Machine Learning; Applications; Opinion Mining and Sentiment Analysis; Clustering; Mining Uncertain and Imprecise Data; Mining Temporal and Spatial Data; Mining Heterogeneous, High Dimensional, and Sequential Data; Itemset and High Performance Data Mining

Keynotes:
Online and Batch Learning with Interventions

Panel Discussion

18th PAKDD 2014, May 13-16, 2014, Tainan, Taiwan
(Host: Department of Computer Science, National Cheng Kung University)

Pre-conference Workshops: (May 13)

Conference Tutorials:
Non-IIDness Learning in Big Data; Social Media and Network Mining – Models, Systems and Applications;
Research Sessions:

Research Sessions:
Pattern Mining; Social Network and Social Media; Classification; Graph and Network Mining; Applications; Machine Learning; Temporal and Spacial Data; Clustering; Biomedical Data Mining; Stream Mining; Multi-Sources Mining; Unstructured Data and Text Mining

Keynotes:
Being a Happy Dwarf in the Age of Big Data; On Information Extraction for Social Networks; Understanding Climate Change: Opportunities and Challenges for Data Driven Research

Discussion Panels:
Data Mining in Big Data Era – Opportunities, Challenges and Practice

17th PAKDD 2013, April 14-17, 2013, Gold Coast, Australia
(Host: Advanced Analytics Institute, University of Technology Sydney)

Pre-conference Workshops: (Apr 14)
Biologically Inspired Techniques for Data Mining (BDM’13); Constraint Discovery and Applications (CDA2013); Data Analytics for Targeted Healthcare (DANTH 2013); Data Mining Applications in Industry and Government (DMApps 2013); Data Mining in Game Analytics (DMGAnalytics 2013)

Conference Tutorials:
Transfer Learning with Applications; Mining Multiple Threads of Streaming Data; Outlier Detection in High-Dimensional Data

Research Sessions:
Pattern Mining; Classification; Graph Mining; Applications; Social Networks; Clustering; Text Mining; Text Classification and Mining; Imbalanced Data; Multimedia Data Mining; Stream Data Mining; Data Preprocessing/Representation

Keynotes/Invited Talks:
BigData and Predictive Analytics – Opportunities and Threats; Some New Data-Mining Challenges with Social Media Data; Big Data, Lifelong Machine Learning and Transfer Learning; Big Data Analytics Infrastructure and Applications for the Enterprise

Co-located Events:
Big Data School & Summit, Apr 10-13
(School: Apr 10-11; Summit: Apr 13)

16th PAKDD 2012, May 29 – June 1, 2012, Kuala Lumpur, Malaysia
(Host: Faculty of Engineering and Science, Universiti Tunku Abdul Rahman)

Pre-conference Workshops: (May 29)
Data Mining for Healthcare Managment; Multi-view data, High-dimensionality, External Knowledge: Striving for a Unified Approach to Clustering

Conference Tutorials:
Data Stream Mining and Its Applications; Discovering Multiple Clustering Solutions – Grouping Objects in Different Views of the Data

Research Sessions:
Web/Social Media; Pattern Mining: Associations, Sequences, and Graphs; Supervised Learning: Time Series and Online; Multiclass/Multilabel Classification; Clustering; Data Preprocessing and Visualization; Ensemble learning; Big Data/Scalability; Classification/Text Mining; Network Mining; Active Learning

2nd Doctoral Symposium on Data Mining

Keynotes:
Joules of Available Energy as the Global Currency: Role of Knowledge Discovery and Data Mining; Learning to make predictions in networks; Semantic document representation: do it with Wikification

15th PAKDD 2011, May 24-27, 2011, Shenzhen, China
(Host: Shenzhen Institutes of Advanced Technology)

Pre-conference Workshops: (May 24)
2nd Data Mining for Healthcare Management (DMHM); Biologically Inspired Techniques for Data Mining (BDM)

Conference Tutorials:
Data Stream Mining: Challenges and Techniques; Datamining for Healthcare Management

Research Sessions:
Machine Learning; Clustering, Classification, Pattern Mining; Text Mining; Graph Mining; Agent Mining; Applications;

1st Doctoral Symposium on Data Mining

Keynotes:
A Learning Framework for Data Objects with Complex Semantics

14th PAKDD 2010, June 21-24, 2010, Hyderabad, India
(Host: Language Technologies Research Centre, International Institute of Information Technology, Hyderabad)

Pre-conference Workshops: (Jun 21)
Workshop on Data Mining for Healthcare Management (DMHM’2010); Workshop on Data Mining and Knowledge Discovery for e-Governance (DMEG’2010 CANCELLED); Workshop on Knowledge Discovery for Rural Systems (KDRS’2010)

Conference Tutorials:
—

Research Sessions:
Clustering; Social Networks; Classification; Pattern Mining; Topic Modeling/Info Extraction; Spatio-Temporal Mining; Graph Mining; Stream Mining

Keynotes:
Empowering People with Knowledge: The Next Frontier for Web Search

13th PAKDD 2009, April 27-30, 2009, Bangkok, Thailand
(Host: Sirindhorn International Institute of Technology, Thammasat University)

Pre-conference Workshops: (Apr 27)
1st Open Source in Data Mining workshop (OSDM’09)

Conference Tutorials:
Domain-Driven Data Mining: Empowering Actionable Knowledge Delivery

Research Sessions:
Classification; Privacy Preserving Data Mining; Text Mining; Semi-Supervised Learning and SVM; Clustering; Sequence Data Mining; Pattern Mining; Web Mining; Outlier Detection and Spatial Data Mining; Stream and Time-series Data Mining; Classification and Link Analysis

Keynotes:
Knowledge Discovery in Databases (KDD) for Body Sensor Networks (BSN) – towards the future of pervasive sensing

12th PAKDD 2008, May 20-23, 2008, Osaka, Japan
(Host: Institute of Scientific and Industrial Research, Osaka University)

Pre-conference Workshops: (May 20)
Algorithms for Large-Scale Information Processing in Knowledge Discovery (ALSIP ’08); Workshop on Interactive Data Mining (IDM ’08)

Pre-conference Tutorials: (May 20)
State-of-the-art in Data Stream Mining

Research Sessions:
Web Mining; Clustering; Network Mining; Sequence Data Mining; Subspace Clustering; Network Mining; Spatial and Image Data Mining; Application; Classification; Graph and Network Mining; Text Mining; Stream Mining

Keynotes/Invited Talks:
Graph Mining: Laws, Generators and Tools; Supporting Creativity: Towards Associative Discovery of New Insights; Prospective Scientific Methodology in Knowledge Society

11th PAKDD 2007, 22-25 May, 2007, Nanjing, China
(Host: Computer Science Department, Nanjing University)

Pre-conference Workshops: (May 22)
Workshop on Data Mining for Business (DMBiz’07); Workshop on High Performance Data Mining and Applications (HPDMA’07)

Pre-conference Tutorials: (May 22)
From Rule Learning to Relational Subgroup Discovery

Research Sessions:
Text Mining; Classification; Clustering; Email Mining; Text Mining; Sequential Mining; Video Mining; Relational Mining; Social Network; Image Mining; Spatial Mining; Application

Industrial Track Sessions: (May 22)
Financial Market and Web Mining Applications; Data Mining Applications in Social Services, Industry and Environment; New Data Mining Techniques and Applications

Keynotes:
Research Frontiers in Advanced Data Mining Technologies and Applications

Co-located Events:
PAKDD school, May 21 (CANCELLED)

10th PAKDD 2006, April 9-12, 2006, Singapore
(Host: School of Computer Engineering, Nanyang Technological University)

Pre-conference Workshops: (Apr 9)
Workshop on Knowledge Discovery in Life Science Literatures (KDLL 2006); Workshop on Knowledge Discovery from XML Documents (KDXD 2006)

Conference Tutorials:
Text Clustering: Algorithms, Semantics and Systems; Database Mining: Bringing Algorithms to Data

Research Sessions:
Classification; Clustering; Bio-data Mining; Web Mining; Multimedia Mining; Association Rule Mining; Temporal
Data Mining; Stream Data Mining; Graph and Network Mining; Industrial Stream

Keynotes:
Protection or privacy? Data mining and personal data; The changing face of web search

Panel Discussion

Co-located Events:
PAKDD school, Apr 8

9th PAKDD 2005, May 18-20, 2005, Hanoi, Vietnam
(Host: Institute of Information Technology, VAST; Center for Applied Informatics, Hanoi University of Technology)

Pre-conference Workshops: (May 18)
Knowledge Discovery and Data Management in Biomedical Science (KDDMBS); Rough Set Techniques in Knowledge Discovery

Pre-conference Tutorials: (May 18)
Graph Mining Techniques and Their Applications; Rough Set Approach to KDD; Advanced Techniques for Information and Image Classification for Knowledge Management and Decision Making

Research Sessions:
Theoretic Foundations; Association Rules; Classification and Ranking; Clustering; Dynamic Data Mining; High Dimensional Data; Integration of Data Warehousing; Knowledge Management; Machine Learning Methods; Spatial Data; Temporal Data; Text and Web Data Mining

Keynotes/Invited Talks:
Machine Learning for Analyzing Human Brain Function

8th PAKDD 2004, May 26-28, Sydney, 2004, Australia
(Host: Faculty of Information Technology, University of Technology Sydney)

Pre-conference Workshops: (May 26)
Current Research and Future Directions

Pre-conference Tutorials: (May 26)
Network Mining; The Introduction to Data Mining concepts, common technologies, and emerging technologies (Industry Portal tutorial)

Industry Portal – Industry Tutorial & Stream (May 26-28)

Research Sessions:
Classification; Clustering; Industry Stream; Ensemble Learning; Bayesian network and Graph Mining; Text Mining; Multimedia Mining; Text Mining and Web Mining; Sequential Data Mining and Time Series Mining; Biomedical Mining

Keynotes/Invited Talks:
Data Mining Grand Challenges; New Directions in Data Mining

Co-located Events:
PAKDD School, May 24–25

7th PAKDD 2003, April 30 – May 2, 2003, Seoul, Korea
(Host: Department of Computer Engineering, Seoul National University)

Pre-conference Workshops: (Apr 30)
International Workshop on Data Mining for Actionable Knowledge (DMAK)

Pre-conference Tutorials: (Apr 30)
Data Mining for Intrusion Detection; Analyzing and Mining Data Streams

Research Sessions:
Stream Mining; Graph Mining; Clustering; Text Mining; Bio Mining; Web Mining; Semi-Structured Data Mining; Classification; Data Analysis

Keynotes/Invited Talks:
Privacy Aware Data Management and Analytics; Data Mining as an Automated Service; Trends and Challenges in the Industrial Applications of KDD

6th PAKDD 2002, May 6-8, 2002, Taipei, Taiwan
(Host: Department of Computer Science, National Tsing Hua University)

Pre-conference Workshops: (May 6)
Knowledge Discovery in Multimedia and Complex Data; Toward the Foundation of Data Mining; Text Mining

Pre-conference Tutorials: (May 6)
—

Research Sessions:
Classification; Sequence Mining; Clustering; Web Mining; Semi-Structure & Concept Mining; Data Warehouse and Data Cube; Bio-Data Mining; Temporal Mining

Keynotes/Invited Talks:
Discovery of Patterns in the Global Climate System using Data Mining

5th PAKDD 2001, April 16-18, 2001, Hong Kong SAR
(Host: E-Business Technology Institute, University of Hong Kong)

Pre-conference Workshops: (Apr 16)
—

Pre-conference Tutorials: (Apr 16)
Static and Dynamic Data Mining Using Advanced Machine Learning Methods

Research Sessions:
Text Mining; Data Mining Tools; Advanced Topics; Text and Web Mining; Text Mining; Classification; Clustering; Applications and Tools; Sequence Mining; Industry Track; Spatial and Temporal Mining;

Keynotes/Invited Talks:
Incompleteness in Data Mining; Seamless Integration of Data Mining with DBMS and Applications

4th PAKDD 2000, April 18-20, 2000, Kyoto, Japan
(Host: Graduate School of Systems Management, University of Tsukuba)

Pre-conference Workshops: (Apr 18)
International Workshop on Web Knowledge Discovery and Data Mining (WKDDM2000); International Workshop of KDD Challenge on Real-world Data (KDD Challenge 2000)

Pre-conference Tutorials: (Apr 18)
Enterprise Data Mining: Case Studies and Integration in the E-World; Data Mining with Decision Trees; Knowledge Extraction from Texts (ECT), application to Human Ressources in Industry; Rough Sets in KDD: A Tutorial

Research Sessions:
Data Mining Theory; Application of Data Mining; Clustering; Industrial Session; Text, Web and Graph Mining;

Keynotes/Invited Talks:
Inductive Databases and Knowledge Scouts

3rd PAKDD 1999, April 26-28, 1999, Beijing, China
(Host: People’s University of China)

Pre-conference Workshops: (Apr 26)
Workshop on Knowledge Discovery from Advanced Databases (KDAD’99)

Pre-conference Tutorials: (Apr 26)
Automated Discovery: Combining AI, Statistics and Theory of Knowledge

Research Sessions:
Emerging KDD Technology; Mining in Semi, Un-structured Data; Induction, Classification, and Clustering; Visualization; Agent-Based, and Distributed Data Mining; Advanced Topics and New Methodologies

Keynotes/Invited Talks:
KDD as an Enterprise IT Tool: Reality and Agenda

Discussion Panels:
Knowledge Management in Data Mining

2nd PAKDD 1998, 15-17 April 1998, Melbourne, Australia
(Host: Depatment of Computer Technology, Monash University)

Pre-conference Workshops: (Apr 15)
Parallel & Distributed Data Mining

Pre-conference Tutorials: (Apr 15)
Data Mining: An Overview from Database Perspective

Research Sessions:
Data Mining in Temporal and Spatial Data; Advanced Topics in Data Mining; Agent and Internet Based Mining; New Tools and Algorithms for Data Mining; Commercial Applications of Data Mining;

Keynotes/Invited Talks:
OLAP Mining: An Integration of Data Mining and Data Warehousing Technologies; Data Warehousing, Data Mining, and Security

Discussion Panels:
To What Extent Can Data Mining Be Proceduralised?

1st PAKDD 1997, 23-24 February, Singapore
(Host: Information Technology Institute, Singapore National Computer Board; School of Computing, National University of Singapore; Co-located: the 2nd Pacific-Asia Conference on Expert Systems & the 3rd Singapore International Conference on Intelligent Systems, Feb 24-27)

Conference Tutorials:
An Introduction to Effective Data Mining

Research Sessions:
Clustering Techniques; Classifiers & Classification Techniques; Concept Learning & Rule Discovery; KDD Applications; Visual Data Exploration; DM Tools; Learning Association Rules & Patterns

Invited Talks:
n.a.

Product Exhibition

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