PAKDD 2020 - Singapore

The 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Singapore 2020

The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is one of the longest established and leading international conferences in the areas of data mining and knowledge discovery. It provides an international forum for researchers and industry practitioners to share their 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.

Categories


Keynote Speakers
12 views, 46:53 Multi-Output Prediction: Theory and PracticeMulti-Output Prediction: Theory and Practice Inderjit S. Dhillon Inderjit S. Dhillon	21 views, 41:46 Data analysis with humansData analysis with humans Samuel Kaski Samuel Kaski
Most Influential Paper Award Talk
13 views, 26:48 On Link Privacy in Social NetworksOn Link Privacy in Social Networks Xintao Wu Xintao Wu
Industry
6 views, 38:06 Making AI work in practice: Why Data is so Essential to AI and Towards Data Science StandardsMaking AI work in practice: Why Data is so Essential ... Usama Fayyad Usama Fayyad	10 views, 35:00 AI for Health: How to Make the World a Better Place with Machine LearningAI for Health: How to Make the World a Better ... Ankur M. Teredesai Ankur M. Teredesai 1 comment
Session #A3 (Representation Learning (2) + Scientic Data + Privacy/Security)
7 views, 12:47 Efficient Database Search via Tensor Distribution Sensitive BucketingEfficient Database Search via Tensor Distribution Sensitive Bucketing Mihir Mongia Mihir Mongia	8 views, 12:53 dK-Microaggregation: Anonymizing Graphs with Differential Privacy GuaranteesdK-Microaggregation: Anonymizing Graphs with Differential Privacy Guarantees Masooma Iftikhar Masooma Iftikhar	5 views, 12:50 Data-Free Adversarial Perturbations for Practical Black-Box AttackData-Free Adversarial Perturbations for Practical Black-Box Attack Zhaoxin Huan Zhaoxin Huan	8 views, 11:12 Attention-based Aggregation Graph Networks for Knowledge Graph Information TransferAttention-based Aggregation Graph Networks for Knowledge Graph Information Transfer Ming Zhao Ming Zhao	5 views, 12:56 Secure and Accurate Two-step Hash Encoding for Privacy-Preserving Record LinkageSecure and Accurate Two-step Hash Encoding for Privacy-Preserving Record Linkage Thilina Ranbaduge Thilina Ranbaduge
2 views, 12:11 Assessing Centrality Without Knowing ConnectionsAssessing Centrality Without Knowing Connections Leyla Roohi Leyla Roohi	4 views, 12:55 Deep Cost-sensitive Kernel Machine for Binary Software Vulnerability DetectionDeep Cost-sensitive Kernel Machine for Binary Software Vulnerability Detection Tuan Nguyen Tuan Nguyen
Session #B3 (Sequential/Dynamic Data + Recommendation System (2) + Novel Algorithm)
2 views, 12:55 Modelling Temporal Dynamics and Repeated Behaviors for RecommendationModelling Temporal Dynamics and Repeated Behaviors for Recommendation Xinyi Zhou Xinyi Zhou	13 views, 13:11 Tree-Miner: Mining sequential patterns from SP-TreeTree-Miner: Mining sequential patterns from SP-Tree Redwan Ahmed Rizvee Redwan Ahmed Rizvee	3 views, 10:17 Off-policy Recommendation System without ExplorationOff-policy Recommendation System without Exploration Chengwei Wang Chengwei Wang	5 views, 12:58 MemMAP: Compact and Generalizable Meta-LSTM Models for Memory Access PredictionMemMAP: Compact and Generalizable Meta-LSTM Models for Memory Access Prediction Ajitesh Srivastava Ajitesh Srivastava	7 views, 13:01 Context-Aware Latent Dirichlet Allocation for Topic SegmentationContext-Aware Latent Dirichlet Allocation for Topic Segmentation Li Wenbo Li Wenbo
8 views, 12:58 Balancing Exploration and Exploitation in Self-Imitation LearningBalancing Exploration and Exploitation in Self-Imitation Learning Chun-Yao Kang Chun-Yao Kang	8 views, 12:44 Adversarial Autoencoder and Multi-Task Semi-Supervised Learning for Multi-Stage ProcessAdversarial Autoencoder and Multi-Task Semi-Supervised Learning for Multi-Stage Process Andre Mendes da Silva Andre Mendes da Silva	4 views, 11:23 Joint Relational Dependency Learning for Sequential RecommendationJoint Relational Dependency Learning for Sequential Recommendation Xiangmeng Wang Xiangmeng Wang	5 views, 11:52 PEARL: Probabilistic Exact Adaptive Random Forest with Lossy Counting for Data StreamsPEARL: Probabilistic Exact Adaptive Random Forest with Lossy Counting for ... Ocean Wu Ocean Wu
Session #A1 (Classication (1) + Unstructured Data)
7 views, 12:32 Optimized Transformer Models for FAQ AnsweringOptimized Transformer Models for FAQ Answering Manish Gupta Manish Gupta	1 view, 07:26 Multi-Layer Cross Loss Model for Zero-Shot Human Activity RecognitionMulti-Layer Cross Loss Model for Zero-Shot Human Activity Recognition Tong Wu Tong Wu	4 views, 09:52 Learning to Select Important Context Words for Event DetectionLearning to Select Important Context Words for Event Detection Thien Huu Nguyen Thien Huu Nguyen	1 view, 09:02 Inferring Restricted Regular Expressions with Interleaving from Positive and Negative SamplesInferring Restricted Regular Expressions with Interleaving from Positive and Negative ... Yeting Li Yeting Li	9 views, 12:38 SGCN: A Graph Sparsiﬁer based on Graph Convolutional NetworksSGCN: A Graph Sparsiﬁer based on Graph Convolutional Networks Jiayu Li Jiayu Li
3 views, 11:17 An Advanced Two-step DNN-Based Framework for Arrhythmia DetectionAn Advanced Two-step DNN-Based Framework for Arrhythmia Detection Jia Rong Jia Rong	6 views, 12:24 Hierarchical Gradient Smoothing for Probability Estimation TreesHierarchical Gradient Smoothing for Probability Estimation Trees He Zhang He Zhang	39 views, 11:30 HIN: Hierarchical Inference Network for Document-Level Relation ExtractionHIN: Hierarchical Inference Network for Document-Level Relation Extraction Hengzhu Tang Hengzhu Tang	4 views, 08:32 A Relation Learning Hierarchical Framework for Multi-label Charge PredictionA Relation Learning Hierarchical Framework for Multi-label Charge Prediction Wei Duan Wei Duan	6 views, 12:53 Online Algorithms for Multiclass Classification using Partial LabelsOnline Algorithms for Multiclass Classification using Partial Labels Rajarshi Bhattacharjee Rajarshi Bhattacharjee
Session #B4 (Anomaly Detection + Feature Extraction)
7 views, 10:20 Anomaly Detection via Neighbourhood ContrastAnomaly Detection via Neighbourhood Contrast Bo Chen Bo Chen	7 views, 13:13 LoPAD: A Local Prediction Approach to Anomaly DetectionLoPAD: A Local Prediction Approach to Anomaly Detection Sha Lu Sha Lu	9 views, 11:38 Cross-data Automatic Feature Engineering via Meta-learning and Reinforcement LearningCross-data Automatic Feature Engineering via Meta-learning and Reinforcement Learning Jianyu Zhang Jianyu Zhang	3 views, 11:25 Discretization and Feature Selection Based on Bias Corrected Mutual Information Considering High-Order DependenciesDiscretization and Feature Selection Based on Bias Corrected Mutual Information ... Sadia Sharim Sadia Sharim	3 views, 14:00 Estimating Descriptors for Large GraphsEstimating Descriptors for Large Graphs Imdadullah Khan Imdadullah Khan
2 views, 12:38 PhosTransfer: a deep transfer learning framework for kinase-specific phosphorylation site prediction in hierarchyPhosTransfer: a deep transfer learning framework for kinase-specific phosphorylation site ... Ying Xu Ying Xu	3 views, 12:54 A Framework for Feature Selection to Exploit Feature Group StructuresA Framework for Feature Selection to Exploit Feature Group Structures Kushani Perera Kushani Perera	4 views, 12:37 Group based Unsupervised Feature SelectionGroup based Unsupervised Feature Selection Kushani Perera Kushani Perera	6 views, 12:59 Correlation-aware Deep Generative Model for Unsupervised Anomaly DetectionCorrelation-aware Deep Generative Model for Unsupervised Anomaly Detection Haoyi Fan Haoyi Fan	1 view, 12:44 EMOVA: A Semi-supervised End-to-End Moving-Window Attentive Framework for Aspect MiningEMOVA: A Semi-supervised End-to-End Moving-Window Attentive Framework for Aspect Mining Ning Li Ning Li
4 views, 12:24 Using Bandits for Effective Database Activity MonitoringUsing Bandits for Effective Database Activity Monitoring Hagit Grushka - Cohen Hagit Grushka - Cohen
Session #A6 (Spatial Data + Imbalanced Data + Recommendation System (3))
3 views, 11:09 A Proximity Weighted Evidential k Nearest Neighbor Classifier for Imbalanced DataA Proximity Weighted Evidential k Nearest Neighbor Classifier for Imbalanced ... Md. Eusha Kadir Md. Eusha Kadir	7 views, 12:08 On the Performance of Oversampling Techniques for Class Imbalance ProblemsOn the Performance of Oversampling Techniques for Class Imbalance Problems Jiawen Kong Jiawen Kong	2 views, 13:34 ITGH: Information-theoretic Granger Causal Inference on Heterogeneous DataITGH: Information-theoretic Granger Causal Inference on Heterogeneous Data Sahar Behzadi Soheil Sahar Behzadi Soheil	3 views, 13:27 Relation Embedding for Personalised Translation-based POI RecommendationRelation Embedding for Personalised Translation-based POI Recommendation Flora Salim Flora Salim	7 views, 11:12 Revisit Prediction by Deep Survival AnalysisRevisit Prediction by Deep Survival Analysis Sundong Kim Sundong Kim
3 views, 11:33 Identifying Near-Miss Traffic Incidents in Event Recorder DataIdentifying Near-Miss Traffic Incidents in Event Recorder Data Shuhei Yamamoto Shuhei Yamamoto	2 views, 12:02 Relational Metric Learning with Dual Graph Attention Networks for Social RecommendationRelational Metric Learning with Dual Graph Attention Networks for Social ... Xiaodong Wang Xiaodong Wang	2 views, 12:50 MsFcNET: Multi-Scale Feature-Crossing Attention Network for Multi-field Sparse DataMsFcNET: Multi-Scale Feature-Crossing Attention Network for Multi-field Sparse Data Wenling Zhang Wenling Zhang
Session #A2 (Clustering + Recommendation System (1))
4 views, 13:10 GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous RecommendationGAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N ... Vijaikumar M Vijaikumar M	7 views, 12:41 Fast Community Detection with Graph SparsificationFast Community Detection with Graph Sparsification Jesse Laeuchli Jesse Laeuchli	3 views, 12:48 Decentralized and Adaptive K-Means Clustering for Non-IID Data using HyperLogLog CountersDecentralized and Adaptive K-Means Clustering for Non-IID Data using HyperLogLog ... Amira Soliman Amira Soliman	3 views, 11:10 Detecting Arbitrarily Oriented Subspace Clusters in Data Streams Using Hough TransformDetecting Arbitrarily Oriented Subspace Clusters in Data Streams Using Hough ... Felix Borutta Felix Borutta	4 views, 10:31 Spectral Clustering by Subspace Randomization and Graph Fusion for High-Dimensional DataSpectral Clustering by Subspace Randomization and Graph Fusion for High-Dimensional ... Dong Huang Dong Huang
3 views, 13:00 Accurate News Recommendation Coalescing Personal and Global Temporal PreferencesAccurate News Recommendation Coalescing Personal and Global Temporal Preferences Bonhun Koo Bonhun Koo	2 views, 10:50 Deep multi-variate Time Series EmbeddingClustering via Attentive-Gated AutoencoderDeep multi-variate Time Series EmbeddingClustering via Attentive-Gated Autoencoder Dino Ienco Dino Ienco	2 views, 10:50 Strong Baselines for Author Name Disambiguation with and without Neural NetworksStrong Baselines for Author Name Disambiguation with and without Neural ... Zhen-Yu Zhang Zhen-Yu Zhang	6 views, 12:53 Balancing between Accuracy and Fairness for Interactive Recommendation with Reinforcement LearningBalancing between Accuracy and Fairness for Interactive Recommendation with Reinforcement ... Weiwen Liu Weiwen Liu	7 views, 10:18 Human Activity Recognition using Semi-Supervised Multi-Modal DEC for Instagram DataHuman Activity Recognition using Semi-Supervised Multi-Modal DEC for Instagram Data Dongmin Kim Dongmin Kim 1 comment
Session #B2 (Representation Learning (1) + Application)
2 views, 12:32 Learning Multigraph Node Embeddings Using Guided Levy FlightsLearning Multigraph Node Embeddings Using Guided Levy Flights Aman Roy Aman Roy	13 views, 11:29 Hydrological Process Surrogate Modelling and Simulation with Neural NetworksHydrological Process Surrogate Modelling and Simulation with Neural Networks Ruixi Zhang Ruixi Zhang	3 views, 10:33 Correlation Matters: Multi-scale Fine-grained Contextual Information Extraction for Hepatic Tumor SegmentationCorrelation Matters: Multi-scale Fine-grained Contextual Information Extraction for Hepatic Tumor ... Shuchao Pang Shuchao Pang	2 views, 11:08 Quality-Aware Streaming Network Embedding with Memory RefreshingQuality-Aware Streaming Network Embedding with Memory Refreshing Hsi -Wen Chen Hsi -Wen Chen	13 views, 12:29 SubRank: Subgraph Embeddings via a Subgraph Proximity MeasureSubRank: Subgraph Embeddings via a Subgraph Proximity Measure Oana Balalau Oana Balalau
5 views, 12:04 Canonicalizing Knowledge Bases for Recruitment DomainCanonicalizing Knowledge Bases for Recruitment Domain Kanika Narang Kanika Narang	4 views, 11:21 Semi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial TrainingSemi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial Training Harrison Nguyen Harrison Nguyen	42 views, 14:33 GAIM: Game Action Information Mining Framework for Multiplayer Online Card Games (Rummy as Case Study)GAIM: Game Action Information Mining Framework for Multiplayer Online Card ... Sharanya Eswaran Sharanya Eswaran 3 comments
Session #A4 (Association + Statistical Learning + Classication (2))
62 views, 12:56 Optimal subgroup discovery in purely numerical dataOptimal subgroup discovery in purely numerical data Alexandre Millot Alexandre Millot	09:19 An Empirical Model for n-gram Frequency Distribution in Large CorporaAn Empirical Model for n-gram Frequency Distribution in Large Corpora Joaquim Silva Joaquim Silva	7 views, 12:46 Optimal Topology Search for Fast Model Averaging in Decentralized Parallel SGDOptimal Topology Search for Fast Model Averaging in Decentralized Parallel ... Mohsan Jameel Mohsan Jameel	3 views, 13:30 FlowRec: Prototyping Session-based Recommender Systems in Streaming ModeFlowRec: Prototyping Session-based Recommender Systems in Streaming Mode Dimitris Paraschakis Dimitris Paraschakis	4 views, 12:25 Multi-Information Source HIN for Medical Concept EmbeddingMulti-Information Source HIN for Medical Concept Embedding Yuwei Cao Yuwei Cao
1 view, 12:20 Level Set Estimation with Search SpaceWarpingLevel Set Estimation with Search SpaceWarping Manisha Senadeera Manisha Senadeera	4 views, 12:58 Learning Discriminative Neural Sentiment Units for Semi-supervised Target-level Sentiment ClassificationLearning Discriminative Neural Sentiment Units for Semi-supervised Target-level Sentiment Classification Yao Yang Yao Yang	3 views, 13:10 Multi-view Deep Gaussian Process with a Pre-training Acceleration TechniqueMulti-view Deep Gaussian Process with a Pre-training Acceleration Technique Jing Zhao Jing Zhao	1 view, 09:28 Mask-Guided Region Attention Network for Person Re-IdentificationMask-Guided Region Attention Network for Person Re-Identification Han Yu Han Yu	1 view, 12:52 Mining Locally Trending High Utility ItemsetsMining Locally Trending High Utility Itemsets Philippe Fournier-Viger Philippe Fournier-Viger
Session #B5 (Behavior Data + Multi-Source data + Deep Learning (1))
1 view, 13:09 Prototype Similarity Learning for Activity RecognitionPrototype Similarity Learning for Activity Recognition Lei Bai Lei Bai	20 views, 12:19 CrowdQM: Learning aspect-level user reliability and comment trustworthiness in discussion forumsCrowdQM: Learning aspect-level user reliability and comment trustworthiness in discussion ... Kanika Narang Kanika Narang 3 comments	4 views, 11:24 Dual-Component Deep Domain Adaptation: A New Approach for Cross Project Software Vulnerability DetectionDual-Component Deep Domain Adaptation: A New Approach for Cross Project ... Van Nguyen Van Nguyen	5 views, 11:36 Code Action Network for Binary Function Scope IdentificationCode Action Network for Binary Function Scope Identification Van Nguyen Van Nguyen	3 views, 13:12 Tendi: Tensor Disaggregation from Multiple Coarse ViewsTendi: Tensor Disaggregation from Multiple Coarse Views Faisal Almutairi Faisal Almutairi
10 views, 11:24 Attention-based Graph EvolutionAttention-based Graph Evolution Shuangfei Fan Shuangfei Fan	1 view, 12:53 BRUNCH: Branching Structure Inference of Hybrid Multivariate Hawkes Processes with Application to Social MediaBRUNCH: Branching Structure Inference of Hybrid Multivariate Hawkes Processes with ... Hui Li Hui Li	1 view, 12:30 Towards Understanding Transfer Learning Algorithms Using Meta Transfer FeaturesTowards Understanding Transfer Learning Algorithms Using Meta Transfer Features Xin-Chun Li Xin-Chun Li	4 views, 11:13 JarKA: Modeling Attribute Interactions for Cross-lingual Knowledge AlignmentJarKA: Modeling Attribute Interactions for Cross-lingual Knowledge Alignment Bo Chen Bo Chen	4 views, 12:10 Student Academic Performance Prediction Using Deep Multi-Source Behavior Sequential Network Student Academic Performance Prediction Using Deep Multi-Source Behavior Sequential Network Xiang Li Xiang Li 1 comment
2 views, 12:59 FCP Filter: a Dynamic Clustering-Prediction Framework for Customer BehaviorFCP Filter: a Dynamic Clustering-Prediction Framework for Customer Behavior Yuanzhe Zhang Yuanzhe Zhang
Session #A5 (Graph/Network/Social Data + Parallel/Distributed Mining)
9 views, 07:27 Bottom-Up and Top-Down Graph PoolingBottom-Up and Top-Down Graph Pooling Jia-Qi Yang Jia-Qi Yang	6 views, 14:12 Modeling Citation Trajectories of Scientific PapersModeling Citation Trajectories of Scientific Papers Dattatreya Mohapatra, Siddharth Pal, et al. Dattatreya Mohapatra, Siddharth Pal, Soham De, Ponnurangam Kumaraguru, Tanmoy Chakraborty	1 view, 12:08 Node Conductance: A Scalable Node Centrality Measure on Big NetworksNode Conductance: A Scalable Node Centrality Measure on Big Networks Tianshu Lyu Tianshu Lyu	3 views, 12:18 Robust Attribute and Structure Preserving Graph EmbeddingRobust Attribute and Structure Preserving Graph Embedding Bhagya Hettige Bhagya Hettige	10 views, 09:54 Data Centers Job Scheduling with Deep Reinforcement LearningData Centers Job Scheduling with Deep Reinforcement Learning Sisheng Liang Sisheng Liang
2 views, 11:32 AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity SummarizationAutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity ... Dongjun Wei Dongjun Wei	4 views, 12:48 Negative Sampling for Hyperlink Prediction in NetworksNegative Sampling for Hyperlink Prediction in Networks Prasanna Patil Prasanna Patil	4 views, 11:39 Drug-disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical DataDrug-disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural ... Kyomin Jung Kyomin Jung	2 views, 12:21 Retrofitting Embeddings for Unsupervised User Identity LinkageRetrofitting Embeddings for Unsupervised User Identity Linkage Tao Zhou Tao Zhou	3 views, 12:58 Role Equivalence Attention for Label Propagation in Graph Neural NetworksRole Equivalence Attention for Label Propagation in Graph Neural Networks Hogun Park Hogun Park
2 views, 13:37 A Distributed Coordinate Descent Algorithm for Learning Factorization MachineA Distributed Coordinate Descent Algorithm for Learning Factorization Machine Kankan Zhao Kankan Zhao
Session #B6 (Deep Learning (2))
12 views, 12:01 Case-Sensitive Neural Machine TranslationCase-Sensitive Neural Machine Translation Xuewen Shi Xuewen Shi 1 comment	2 views, 06:34 Attribute-driven Capsule Network for Entity Relation PredictionAttribute-driven Capsule Network for Entity Relation Prediction Jiayin Chen Jiayin Chen	5 views, 11:31 Estimation of Conditional Mixture Weibull Distribution with Right-Censored Data using Neural Network for Time-to-Event AnalysisEstimation of Conditional Mixture Weibull Distribution with Right-Censored Data using ... Achraf Bennis Achraf Bennis	2 views, 11:15 Multi-level Memory Network with CRFs for Keyphrase ExtractionMulti-level Memory Network with CRFs for Keyphrase Extraction Tao Zhou Tao Zhou	2 views, 11:58 6GCVAE: Gated Convolutional Variational Autoencoder for IPv6 Target Generatio6GCVAE: Gated Convolutional Variational Autoencoder for IPv6 Target Generatio Gaopeng Gou Gaopeng Gou
14 views, 11:45 DELAFO: An Efficient Portfolio Optimization Using Deep Neural NetworksDELAFO: An Efficient Portfolio Optimization Using Deep Neural Networks Thanh Binh Nguyen Thanh Binh Nguyen	2 views, 11:40 CACRNN: A Context-aware Attention-based Convolutional Recurrent Neural Network for Fine-Grained Taxi Demand PredictionCACRNN: A Context-aware Attention-based Convolutional Recurrent Neural Network for Fine-Grained ... Tong Liu Tong Liu	4 views, 12:28 Accelerating Hyperparameter Optimization of Deep Neural Network via Progressive Multi-Fidelity EvaluationAccelerating Hyperparameter Optimization of Deep Neural Network via Progressive Multi-Fidelity ... Guanghui Zhu Guanghui Zhu
Session #B1 (Supervised Learning)
3 views, 12:06 JPLink: On Linking Jobs to Personality ProfilesJPLink: On Linking Jobs to Personality Profiles Amila Ruwansiri Silva Amila Ruwansiri Silva	1 view, 11:27 MIRD-Net for Medical Image SegmentationMIRD-Net for Medical Image Segmentation Xueyang Li Xueyang Li	5 views, 11:31 Exploiting the Matching Information in the Support Set for Few Shot Event ClassificationExploiting the Matching Information in the Support Set for Few ... Achraf Bennis Achraf Bennis	3 views, 12:50 Long-term water pipe condition assessment: a semiparametric model using Gaussian process and survival analysisLong-term water pipe condition assessment: a semiparametric model using Gaussian ... Dilusha Weeraddana Dilusha Weeraddana
Workshop on Data Science for Fake News (DSFN 2020)
6 views, 08:42 Dynamics Of Online Toxicity In The Asia-Pacific RegionDynamics Of Online Toxicity In The Asia-Pacific Region Thomas Marcoux Thomas Marcoux	3 views, 12:58 Detection of spammers using modified diffusion convolution neural networkDetection of spammers using modified diffusion convolution neural network Hui Li Hui Li

Write your own review or comment:

Comment:
Name:
Email address:
URL:

make sure you have javascript enabled or clear this field:

View order

Topic taxonomy

Type of content

Language

Year

PAKDD 2020 - Singapore

The 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Singapore 2020

Keynote Speakers

Most Influential Paper Award Talk

Industry

Session #A3 (Representation Learning (2) + Scientic Data + Privacy/Security)

Session #B3 (Sequential/Dynamic Data + Recommendation System (2) + Novel Algorithm)

Session #A1 (Classication (1) + Unstructured Data)

Session #B4 (Anomaly Detection + Feature Extraction)

Session #A6 (Spatial Data + Imbalanced Data + Recommendation System (3))

Session #A2 (Clustering + Recommendation System (1))

Session #B2 (Representation Learning (1) + Application)

Session #A4 (Association + Statistical Learning + Classication (2))

Session #B5 (Behavior Data + Multi-Source data + Deep Learning (1))

Session #A5 (Graph/Network/Social Data + Parallel/Distributed Mining)

Session #B6 (Deep Learning (2))

Session #B1 (Supervised Learning)

Workshop on Data Science for Fake News (DSFN 2020)

Write your own review or comment:

From:
To: