PAKDD 2021 : Pacific-Asia Conference on Knowledge Discovery and Data Mining
Conference Series : Pacific-Asia Conference on Knowledge Discovery and Data Mining
Call For Papers
PAKDD2021: Call for Papers and Proposals
The 25th Pacific-Asia Conference on Knowledge Discovery and
Data Mining (PAKDD-2021), May 11-14, 2021, Delhi, India.
Hosted by Jawaharlal Nehru University and IIIT Hyderabad
The PAKDD is one of the longest established and leading international conferences in the areas of data mining and knowledge discovery. The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021) will be held at Delhi during May 11-14, 2021. It provides an international forum for researchers and industry practitioners to share their new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications.
PAKDD 2021 calls for RESEARCH PAPERS of high-quality, original and previously unpublished submissions in the THEORY, PRACTICE, and APPLICATIONS on all aspects of knowledge discovery and data mining. Topics of relevance for the conference include, but not limited to, the following:
Data Science: Methods for analyzing scientific and business data, social networks, time series; mining sequences, streams, text, web, graphs, rules, patterns, logs data, IoT data, spatio-temporal data, biological data; recommender systems, computational advertising, multimedia, finance, bioinformatics.
Big Data: Large-scale systems for text and graph analysis, sampling, parallel and distributed data mining (cloud, map-reduce, federated learning), novel algorithmic, and statistical techniques for big data.
Foundations: Models and algorithms, asymptotic analysis; model selection, dimensionality reduction, relational/structured learning, matrix and tensor methods, probabilistic and statistical methods; deep learning, meta-learning, reinforcement learning; classification, clustering, regression, semi-supervised and unsupervised learning; personalization, security and privacy, visualization; fairness, interpretability, and robustness.
Visit www.pakdd2021.org for the details of call for WORKSHOP and TUTORIAL proposals.
Paper Submission due: Nov 23, 2020
Workshop proposal due: Oct 12, 2020
Tutorial Proposal due: Feb 08, 2021
M. Jagadesh Kumar (Vice Chancellor, Jawaharlal Nehru University)
P. J. Narayanan (Director, IIIT Hyderabad)
R.K Agrawal (Jawaharlal Nehru University)
P. Krishna Reddy (IIIT Hyderabad)
Jaideep Srivastava (University of Minnesota)
Kamal Karlapalem, (IIIT Hyderabad)
Hong Cheng (The Chinese University of Hong Kong)
Naren Ramakrishnan (Virginia Tech)
Gautam Shroff (TCS Research)
Srikanta Bedathur (IIT Delhi)
Ganesh Ramakrishnan (IIT Bombay)
Manish Gupta (Microsoft Research)
B. Ravindran (IIT Madras)
Naresh Manwani (IIIT Hyderabad)
Sonali Agarwal (IIIT Allahabad)
R.Uday Kiran (The University of Aizu)
Jerry Chun-Wei Lin (Western Norway University of Applied Sciences)
P. Krishna Reddy (IIIT Hyderabad)
Mengling Feng (National University of Singapore)
Tanmoy Chakraborthy (IIIT Delhi)
Registration/Local Arrangement Committee
Vasudha Bhatnagar (University of Delhi) (Chair)
Vikram Goel (IIIT Delhi)
Naveen Kumar (University of Delhi)
Rajiv Ratn Shah (IIIT Delhi)
Arvind Agarwal (IBM Research)
Aditi Sharan (Jawaharlal Nehru University)
Mukesh Kumar Giluka (Jawaharlal Nehru University)
Dhirendra Kumar (Delhi Technological University)