Advances in Knowledge Discovery and Data Mining

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.

• 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

• 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

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