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On the handling of continuous-valued attributes in decision tree generation

Machine learning, 1992-01, Vol.8 (1), p.87-102

1992

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Integrating data mining with SQL databases: OLE DB for data mining

Proceedings 17th International Conference on Data Engineering, 2001, p.379-387

2001

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From Data Mining to Knowledge Discovery in Databases

The AI magazine, 1996-09, Vol.17 (3), p.37-54

1996

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Data mining and KDD: Promise and challenges

Future generation computer systems, 1997-11, Vol.13 (2), p.99-115

1997

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From digitized images to online catalogs : Data mining a sky survey

The AI magazine, 1996-06, Vol.17 (2), p.51-66

1996

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Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences

2021 IEEE International Conference on Big Data (Big Data), 2021, p.1533-1540

2021

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FedLess: Secure and Scalable Federated Learning Using Serverless Computing

2021 IEEE International Conference on Big Data (Big Data), 2021, p.164-173

2021

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CyBERT: Contextualized Embeddings for the Cybersecurity Domain

2021 IEEE International Conference on Big Data (Big Data), 2021, p.3334-3342

2021

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Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters

2021 IEEE International Conference on Big Data (Big Data), 2021, p.65-75

2021

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CONAN: Contrastive Fusion Networks for Multi-view Clustering

2021 IEEE International Conference on Big Data (Big Data), 2021, p.653-660

2021

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Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection

2021 IEEE International Conference on Big Data (Big Data), 2021, p.5413-5419

2021

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Multi-Source Domain Adaptation with Weak Supervision for Early Fake News Detection

2021 IEEE International Conference on Big Data (Big Data), 2021, p.668-676

2021

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Analysis of Preprocessing Techniques, Keras Tuner, and Transfer Learning on Cloud Street image data

2021 IEEE International Conference on Big Data (Big Data), 2021, p.4165-4168

2021

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FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning

2021 IEEE International Conference on Big Data (Big Data), 2021, p.715-724

2021

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Explainable image analysis for decision support in medical healthcare

2021 IEEE International Conference on Big Data (Big Data), 2021, p.4667-4674

2021

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Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network

2021 IEEE International Conference on Big Data (Big Data), 2021, p.457-468

2021

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On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds

2021 IEEE International Conference on Big Data (Big Data), 2021, p.3113-3118

2021

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Personalized Fashion Recommendation from Personal Social Media Data: An Item-to-Set Metric Learning Approach

2021 IEEE International Conference on Big Data (Big Data), 2021, p.5014-5023

2021

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GraSSNet: Graph Soft Sensing Neural Networks

2021 IEEE International Conference on Big Data (Big Data), 2021, p.746-756

2021

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Measles Rash Identification Using Transfer Learning and Deep Convolutional Neural Networks

2021 IEEE International Conference on Big Data (Big Data), 2021, p.3905-3910

2021

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Higher-order Structure Based Anomaly Detection on Attributed Networks

2021 IEEE International Conference on Big Data (Big Data), 2021, p.2691-2700

2021

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Asynchronous Federated Learning for Sensor Data with Concept Drift

2021 IEEE International Conference on Big Data (Big Data), 2021, p.4822-4831

2021

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WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data

2021 IEEE International Conference on Big Data (Big Data), 2021, p.4450-4459

2021

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Multi Scale Graph Wavenet for Wind Speed Forecasting

2021 IEEE International Conference on Big Data (Big Data), 2021, p.4047-4053

2021

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Drug Abuse Detection in Twitter-sphere: Graph-Based Approach

2021 IEEE International Conference on Big Data (Big Data), 2021, p.4136-4145

2021

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On the handling of continuous-valued attributes in decision tree generation

Integrating data mining with SQL databases: OLE DB for data mining

From Data Mining to Knowledge Discovery in Databases

Data mining and KDD: Promise and challenges

From digitized images to online catalogs : Data mining a sky survey

Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences

FedLess: Secure and Scalable Federated Learning Using Serverless Computing

CyBERT: Contextualized Embeddings for the Cybersecurity Domain

Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters

CONAN: Contrastive Fusion Networks for Multi-view Clustering

Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection

Multi-Source Domain Adaptation with Weak Supervision for Early Fake News Detection

Analysis of Preprocessing Techniques, Keras Tuner, and Transfer Learning on Cloud Street image data

FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning

Explainable image analysis for decision support in medical healthcare

Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network

On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds

Personalized Fashion Recommendation from Personal Social Media Data: An Item-to-Set Metric Learning Approach

GraSSNet: Graph Soft Sensing Neural Networks

Measles Rash Identification Using Transfer Learning and Deep Convolutional Neural Networks

Higher-order Structure Based Anomaly Detection on Attributed Networks

Asynchronous Federated Learning for Sensor Data with Concept Drift

WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data

Multi Scale Graph Wavenet for Wind Speed Forecasting

Drug Abuse Detection in Twitter-sphere: Graph-Based Approach

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