[dbjapan] CFP:PAKDD 2021

[uday kiran <uday.rage [at] gmail.com>]

Database Society of Japan Members,

          I am Prof. Rage Uday Kiran, working as an associate professor at the University of Aizu. 

            

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.

http://www.pakdd2021.org/

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PAKDD 2021 calls for RESEARCH PAPERS of high-quality, original and previously unpublished submissions in the THEORY, PRACTICE, and APPLICATIONS on all aspects of knowledge discovery and data mining.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.

Important Dates:

Paper Submission   due: Nov 23, 2020

Workshop proposal due: Oct 12, 2020

Tutorial Proposal due: Feb 08, 2021

Organizing Committee

Honorary Chairs

M. Jagadesh Kumar (Vice Chancellor, Jawaharlal Nehru University)

P. J. Narayanan (Director, IIIT Hyderabad)

General Co-Chairs

R.K Agrawal (Jawaharlal Nehru University)

P. Krishna Reddy (IIIT Hyderabad)

Jaideep Srivastava (University of Minnesota)

Program Co-Chairs

Kamal Karlapalem, (IIIT Hyderabad)

Hong Cheng (The Chinese University of Hong Kong)

Naren Ramakrishnan (Virginia Tech)

Industry Co-Chairs

Gautam Shroff  (TCS Research)

Srikanta Bedathur  (IIT Delhi)

Workshop Co-Chairs

Ganesh Ramakrishnan (IIT Bombay)

Manish Gupta (Microsoft Research)

Tutorial Co-Chairs

B. Ravindran (IIT Madras)

Naresh Manwani (IIIT Hyderabad)

Publicity Co-Chair

Sonali Agarwal (IIIT Allahabad)

R.Uday Kiran (The University of Aizu)

Jerry Chun-Wei Lin (Western Norway University of Applied Sciences)

Sponsorship Chair

P. Krishna Reddy (IIIT Hyderabad)

Competitions Chair

Mengling Feng (National University of Singapore)

Proceedings Chair

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)

PAKDD-2021 Secretariat

e-mail: pakdd2021 [at] gmail.com

Website: www.pakdd2021.org/

*****************************************     

--

Regards

Prof. Rage uday kiran

Associate Professor

Database Systems Lab

Division of Information Systems

University of Aizu, Aizu-Wakamatsu, Japan. 

Lab number: 145-A

Mobile no. +81 80 4834 0999

Phone no. (Lab) +81 242 37 2541

                  (Ext) 3115

----------------------------------------------------------------------
When people throw stones at you, convert them into mile stones.