Advances in Knowledge Discovery and Data Mining 23rd Pacific Asia Conference PAKDD 2019 Macau China April 14 17 2019 Proceedings Part I 1st Edition by Qiang Yang, Zhi Hua Zhou, Zhiguo Gong, Min Ling Zhang, Sheng Jun Huang ISBN 3030161412 978-3030161415

Advances in Knowledge Discovery and Data Mining 23rd Pacific Asia Conference PAKDD 2019 Macau China April 14 17 2019 Proceedings Part I 1st Edition by Qiang Yang, Zhi Hua Zhou, Zhiguo Gong, Min Ling Zhang, Sheng Jun Huang – Ebook PDF Instant Download/Delivery: 3030161412, 978-3030161415

Full download Advances in Knowledge Discovery and Data Mining 23rd Pacific Asia Conference PAKDD 2019 Macau China April 14 17 2019 Proceedings Part I 1st Edition after payment

Product details:

ISBN 10: 3030161412 

ISBN 13: 978-3030161415

Author:  Qiang Yang, Zhi Hua Zhou, Zhiguo Gong, Min Ling Zhang, Sheng Jun Huang

The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019.

The 137 full papers presented were carefully reviewed and selected from 542 submissions. The papers present 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. They are organized in the following topical sections: classification and supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and related topics; clustering and anomaly detection; deep learning models and applications; sequential pattern mining; weakly supervised learning; recommender system; social network and graph mining; data pre-processing and featureselection; representation learning and embedding; mining unstructured and semi-structured data; behavioral data mining; visual data mining; and knowledge graph and interpretable data mining.

Table of contents: 

1. AAANE: Attention-Based Adversarial Autoencoder for Multi-scale Network Embedding

2. NEAR: Normalized Network Embedding with Autoencoder for Top-K Item Recommendation

3. Ranking Network Embedding via Adversarial Learning

4. Selective Training: A Strategy for Fast Backpropagation on Sentence Embeddings

5. Extracting Keyphrases from Research Papers Using Word Embeddings

6. Sequential Embedding Induced Text Clustering, a Non-parametric Bayesian Approach

7. SSNE: Status Signed Network Embedding

8. On the Network Embedding in Sparse Signed Networks

9. MSNE: A Novel Markov Chain Sampling Strategy for Network Embedding

10. Auto-encoder Based Co-training Multi-view Representation Learning

11. Robust Semi-supervised Representation Learning for Graph-Structured Data

12. Characterizing the SOM Feature Detectors Under Various Input Conditions

13. PCANE: Preserving Context Attributes for Network Embedding

14. A Novel Framework for Node/Edge Attributed Graph Embedding

15. Context-Aware Dual-Attention Network for Natural Language Inference

16. Best from Top k Versus Top 1: Improving Distant Supervision Relation Extraction with Deep Reinforcement Learning

17. Towards One Reusable Model for Various Software Defect Mining Tasks

18. User Preference-Aware Review Generation

19. Mining Cluster Patterns in XML Corpora via Latent Topic Models of Content and Structure

20. A Large-Scale Repository of Deterministic Regular Expression Patterns and Its Applications

21. Determining the Impact of Missing Values on Blocking in Record Linkage

22. Bridging the Gap Between Research and Production with CODE

23. Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction

24. Using Multi-objective Optimization to Solve the Long Tail Problem in Recommender System

25. Event2Vec: Learning Event Representations Using Spatial-Temporal Information for Recommendation

26. Maximizing Gain over Flexible Attributes in Peer to Peer Marketplaces

27. An Attentive Spatio-Temporal Neural Model for Successive Point of Interest Recommendation

28. Mentor Pattern Identification from Product Usage Logs

29. AggregationNet: Identifying Multiple Changes Based on Convolutional Neural Network in Bitemporal Optical Remote Sensing Images

30. Detecting Micro-expression Intensity Changes from Videos Based on Hybrid Deep CNN

31. A Multi-scale Recalibrated Approach for 3D Human Pose Estimation

32. Gossiping the Videos: An Embedding-Based Generative Adversarial Framework for Time-Sync Comments Generation

33. Self-paced Robust Deep Face Recognition with Label Noise

34. Multi-Constraints-Based Enhanced Class-Specific Dictionary Learning for Image Classification

35. Discovering Senile Dementia from Brain MRI Using Ra-DenseNet

36. Granger Causality for Heterogeneous Processes

37. Knowledge Graph Embedding with Order Information of Triplets

38. Knowledge Graph Rule Mining via Transfer Learning

39. Knowledge Base Completion by Inference from Both Relational and Literal Facts

40. EMT: A Tail-Oriented Method for Specific Domain Knowledge Graph Completion

41. An Interpretable Neural Model with Interactive Stepwise Influence

42. Multivariate Time Series Early Classification with Interpretability Using Deep Learning and Attention Mechanism

People also search for:

 advances in knowledge discovery and data mining
    
advances in knowledge discovery and data mining pdf
    
advances in knowledge discovery and data mining impact factor
    
advances in knowledge discovery and management
    
discovery development advancement meaning

Tags: Qiang Yang, Zhi Hua Zhou, Zhiguo Gong, Min Ling Zhang, Sheng Jun Huang, Advances, Knowledge Discovery, Data Mining, Pacific Asia Conference