Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12712)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): PAKDD: Pacific-Asia Conference on Knowledge Discovery and Data Mining
Conference proceedings info: PAKDD 2021.
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (64 papers)
-
Front Matter
-
Applications of Knowledge Discovery
-
Front Matter
-
Other Volumes
-
Advances in Knowledge Discovery and Data Mining
About this book
The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows:
Part I: Applications of knowledge discovery and data mining of specialized data;
Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics;
Part III: Representation learning and embedding, and learning from data.
Keywords
- computational advertising
- computer security
- data mining
- databases
- deep learning
- graph theory
- interpretability
- meta-learning
- mining sequences
- multimedia
- network protocols
- neural networks
- probabilistic and statistical methods
- regression
- reinforcement learning
- robustness
- security and privacy
- signal processing
- time series
Editors and Affiliations
-
IIIT, Hyderabad, Hyderabad, India
Kamal Karlapalem
-
Chinese University of Hong Kong, Shatin, Hong Kong
Hong Cheng
-
Virginia Tech, Arlington, USA
Naren Ramakrishnan
-
Jawaharlal Nehru University, New Delhi, India
R. K. Agrawal
-
IIIT Hyderabad, Hyderabad, India
P. Krishna Reddy
-
University of Minnesota, Minneapolis, USA
Jaideep Srivastava
-
IIIT Delhi, New Delhi, India
Tanmoy Chakraborty
Bibliographic Information
Book Title: Advances in Knowledge Discovery and Data Mining
Book Subtitle: 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part I
Editors: Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-75762-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-75761-8Published: 09 May 2021
eBook ISBN: 978-3-030-75762-5Published: 08 May 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXXV, 834
Number of Illustrations: 30 b/w illustrations
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Computer Appl. in Social and Behavioral Sciences, Computer Communication Networks, Algorithm Analysis and Problem Complexity
Industry Sectors: Aerospace, Automotive, Biotechnology, Chemical Manufacturing, Consumer Packaged Goods, Electronics, Energy, Utilities & Environment, Engineering, Finance, Business & Banking, Health & Hospitals, IT & Software, Law, Materials & Steel, Oil, Gas & Geosciences, Pharma, Telecommunications