Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia Conference

Description

Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part III (Lecture Notes in Computer Science)

This three-volume set, LNAI 10937, 10938, and 10939, constitutes the thoroughly refereed proceedings of the 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2018, held in Melbourne, VIC, Australia, in June 2018.

The 164 full papers were carefully reviewed and selected from 592 submissions. The volumes present papers focusing on 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.

Chapter 1. Discovering High Utility Itemsets Based on the Artificial Bee Colony Algorithm
Chapter 2. A Scalable and Efficient Subgroup Blocking Scheme for Multidatabase Record Linkage
Chapter 3. Efficient Feature Selection Framework for Digital Marketing Applications
Chapter 4. Dynamic Feature Selection Algorithm Based on Minimum Vertex Cover of Hypergraph
Chapter 5. Feature Selection for Multiclass Binary Data
Chapter 6. Scalable Model-Based Cascaded Imputation of Missing Data
Chapter 7. On Reducing Dimensionality of Labeled Data Efficiently
Chapter 8. Using Metric Space Indexing for Complete and Efficient Record Linkage
Chapter 9. Dimensionality Reduction via Community Detection in Small Sample Datasets
Chapter 10. An Interaction-Enhanced Feature Selection Algorithm
Chapter 11. An Extended Random-Sets Model for Fusion-Based Text Feature Selection
Chapter 12. Attribute Reduction Algorithm Based on Improved Information Gain Rate and Ant Colony Optimization
Chapter 13. Efficient Approximate Algorithms for the Closest Pair Problem in High Dimensional Spaces
Chapter 14. Efficient Compression Technique for Sparse Sets
Chapter 15. It Pays to Be Certain: Unsupervised Record Linkage via Ambiguity Minimization
Chapter 16. Consensus Community Detection in Multilayer Networks Using Parameter-Free Graph Pruning
Chapter 17. Community Discovery Based on Social Relations and Temporal-Spatial Topics in LBSNs
Chapter 18. A Unified Weakly Supervised Framework for Community Detection and Semantic Matching
Chapter 19. Tapping Community Memberships and Devising a Novel Homophily Modeling Approach for Trust Prediction
Chapter 20. Text-Visualizing Neural Network Model: Understanding Online Financial Textual Data
Chapter 21. MIDA: Multiple Imputation Using Denoising Autoencoders
Chapter 22. Dual Control Memory Augmented Neural Networks for Treatment Recommendations
Chapter 23. Denoising Time Series Data Using Asymmetric Generative Adversarial Networks
Chapter 24. Shared Deep Kernel Learning for Dimensionality Reduction
Chapter 25. CDSSD: Refreshing Single Shot Object Detection Using a Conv-Deconv Network
Chapter 26. Binary Classification of Sequences Possessing Unilateral Common Factor with AMS and APR
Chapter 27. Automating Reading Comprehension by Generating Question and Answer Pairs
Chapter 28. Emotion Classification with Data Augmentation Using Generative Adversarial Networks
Chapter 29. Trans2Vec: Learning Transaction Embedding via Items and Frequent Itemsets
Chapter 30. Detecting Complex Sensitive Information via Phrase Structure in Recursive Neural Networks
Chapter 31. A Distance Scaling Method to Improve Density-Based Clustering
Chapter 32. Neighbourhood Contrast: A Better Means to Detect Clusters Than Density
Chapter 33. Clustering of Multiple Density Peaks
Chapter 34. A New Local Density for Density Peak Clustering
Chapter 35. An Efficient Ranking-Centered Density-Based Document Clustering Method
Chapter 36. Fast Manifold Landmarking Using Locality-Sensitive Hashing
Chapter 37. Equitable Conceptual Clustering Using OWA Operator
Chapter 38. Unsupervised Extremely Randomized Trees
Chapter 39. Local Graph Clustering by Multi-network Random Walk with Restart
Chapter 40. Scalable Approximation Algorithm for Graph Summarization
Chapter 41. RIPEx: Extracting Malicious IP Addresses from Security Forums Using Cross-Forum Learning
Chapter 42. Pattern-Mining Based Cryptanalysis of Bloom Filters for Privacy-Preserving Record Linkage
Chapter 43. A Privacy Preserving Bayesian Optimization with High Efficiency
Chapter 44. Randomizing SVM Against Adversarial Attacks Under Uncertainty
Chapter 45. One for the Road: Recommending Male Street Attire
Chapter 46. Context-Aware Location Annotation on Mobility Records Through User Grouping
Chapter 47. A Joint Optimization Approach for Personalized Recommendation Diversification
Chapter 48. Personalized Item-of-Interest Recommendation on Storage Constrained Smartphone Based on Word Embedding Quantization
Chapter 49. Topic-Specific Retweet Count Ranking for Weibo
Chapter 50. Motif-Aware Diffusion Network Inference
Chapter 51. Tri-Fly: Distributed Estimation of Global and Local Triangle Counts in Graph Streams
Chapter 52. WFSM-MaxPWS: An Efficient Approach for Mining Weighted Frequent Subgraphs from Edge-Weighted Graph Databases
Chapter 53. A Game-Theoretic Adversarial Approach to Dynamic Network Prediction
Chapter 54. Targeted Influence Minimization in Social Networks
Chapter 55. Maximizing Social Influence on Target Users
Chapter 56. Team Expansion in Collaborative Environments
Chapter 57. HashAlign: Hash-Based Alignment of Multiple Graphs
Chapter 58. Evaluating and Analyzing Reliability over Decentralized and Complex Networks
Chapter 59. Efficient Exact and Approximate Algorithms for Computing Betweenness Centrality in Directed Graphs
Chapter 60. Forecasting Bitcoin Price with Graph Chainlets
Chapter 61. Information Propagation Trees for Protest Event Prediction
Chapter 62. Predictive Team Formation Analysis via Feature Representation Learning on Social Networks
Chapter 63. Leveraging Local Interactions for Geolocating Social Media Users