Trends and Applications in Knowledge Discovery and Data Mining PAKDD 2019 Workshops, BDM, DLKT, LDRC, PAISI, WeL, Macau, China, April 14-17, 2019, Revised Selected Papers /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: U., Leong Hou (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Lauw, Hady W. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Lecture Notes in Artificial Intelligence ; 11607
• Θέματα: Artificial intelligence.; Application software.; Data mining.; Optical data processing.; Data protection.; Artificial Intelligence.; Information Systems Applications (incl. Internet).; Data Mining and Knowledge Discovery.; Image Processing and Computer Vision.; Computer Appl. in Social and Behavioral Sciences.; Security.

This book constitutes the thoroughly refereed post-workshop proceedings of the workshops that were held in conjunction with the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, in Macau, China, in April 2019. The 31 revised papers presented were carefully reviewed and...

Πίνακας περιεχομένων:

• 14th Pacific Asia Workshop on Intelligence and Security Informatics (PAISI 2019)
• A Supporting Tool for IT System Security Specification Evaluation Based on ISO/IEC 15408 and ISO/IEC 18045
• An Investigation on Multi View based User Behavior towards Spam Detection in Social Networks
• A Cluster Ensemble Strategy for Asian Handicap Betting
• Designing an Integrated Intelligence Center: New Taipei City Police Department as an Example
• Early Churn User Classification in Social Networking Service Using Attention-based Long Short-Term Memory
• PAKDD 2019 Workshop on Weakly Supervised Learning: Progress and Future (WeL 2019)
• Weakly Supervised Learning by a Confusion Matrix of Contexts
• Learning a Semantic Space for Modeling Images,Tags and Feelings in Cross-media Search
• Adversarial Active Learning in the Presence of Weak and Malicious Oracles
• The Most Related Knowledge First: A Progressive Domain Adaptation Method
• Learning Data Representation for Clustering (LDRC 2019)
• Deep Architectures for Joint Clustering and Visualization with Self-Organizing Maps
• Deep cascade of extra trees
• Algorithms for an Efficient Tensor Biclustering
• Change point detetion in periodic panel data using a mixture-model-based approach
• The 8th Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining (BDM 2019)
• Neural Network-Based Deep Encoding for Mixed-Attribute Data Classification
• Protein Complexes Detection Based on Deep Neural Network
• Predicting Auction Price of Vehicle License Plate with Deep Residual Learning
• Mining Multispectral Aerial Images for Automatic Detection of Strategic Bridge Locations for Disaster Relief Missions
• Chinese Word Segmentation with Feature Alignment
• Spike Sorting with Locally Weighted Co-association Matrix-based Spectral Clustering
• Label Distribution Learning Based Age-Invariant Face Recognition
• Overall Loss For Deep Neural Networks
• Sentiment Analysis Based on LSTM Architecture with Emoticon Attention
• Aspect Level Sentiment Analysis with Aspect Attention
• The 1st Pacific Asia Workshop on Deep Learning for Knowledge Transfer (DLKT 2019)
• Transfer Channel Pruning for Compressing Deep Domain Adaptation Models
• A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targeting
• Natural Language Business Intelligence Question Answering through SeqtoSeq Transfer Learning
• Robust Faster R-CNN:Increasing Robustness to Occlusions and multi-scale objects
• Effectively Representing Short Text via the Improved Semantic Feature Space Mapping
• Probabilistic Graphical Model Based Highly Scalable Directed Community Detection Algorithm
• Hilltop based recommendation in co-author networks
• Neural Variational Collaborative Filtering for Top-K Recommendation. .