2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA)
Latest Publications

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9781509050048

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RadiusSketch: Massively Distributed Indexing of Time Series

2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA) ◽

10.1109/dsaa.2017.49 ◽

2017 ◽

Cited By ~ 1

Author(s):

Djamel Edine Yagoubi ◽

Reza Akbarinia ◽

Florent Masseglia ◽

Dennis Shasha

Keyword(s):

Time Series ◽

Distributed Indexing

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Supercharging Crowd Dynamics Estimation in Disasters via Spatio-Temporal Deep Neural Network

2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA) ◽

10.1109/dsaa.2017.11 ◽

2017 ◽

Cited By ~ 1

Author(s):

Fang-Zhou Jiang ◽

Lei Zhong ◽

Kanchana Thilakarathna ◽

Aruna Seneviratne ◽

Kiyoshi Takano ◽

...

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Crowd Dynamics ◽

Spatio Temporal

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Learning Low-Rank Document Embeddings with Weighted Nuclear Norm Regularization

2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA) ◽

10.1109/dsaa.2017.46 ◽

2017 ◽

Author(s):

Lukas Pfahler ◽

Katharina Morik ◽

Frederik Elwert ◽

Samira Tabti ◽

Volkhard Krech

Keyword(s):

Nuclear Norm ◽

Low Rank ◽

Nuclear Norm Regularization

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The Initialization and Parameter Setting Problem in Tensor Decomposition-Based Link Prediction

2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA) ◽

10.1109/dsaa.2017.83 ◽

2017 ◽

Cited By ~ 5

Author(s):

Sofia Fernandes ◽

Hadi Fanaee-T. ◽

Joao Gama

Keyword(s):

Link Prediction ◽

Tensor Decomposition ◽

Parameter Setting

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Coupled Bayesian Matrix Factorization in Recommender Systems

2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA) ◽

10.1109/dsaa.2017.9 ◽

2017 ◽

Author(s):

Xueci Zhao ◽

Chengzhang Zhu ◽

Lizhi Cheng

Keyword(s):

Recommender Systems ◽

Matrix Factorization

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Latent Dimensionality Estimation for Probabilistic Canonical Correlation Analysis Using Normalized Maximum Likelihood Code-Length

2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA) ◽

10.1109/dsaa.2017.39 ◽

2017 ◽

Author(s):

Tomohiko Nakmaura ◽

Tomoharu Iwata ◽

Kenji Yamanishi

Keyword(s):

Maximum Likelihood ◽

Correlation Analysis ◽

Canonical Correlation Analysis ◽

Canonical Correlation ◽

Code Length ◽

Normalized Maximum Likelihood

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A Collaborative Filtering-Based Two Stage Model with Item Dependency for Course Recommendation

2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA) ◽

10.1109/dsaa.2017.18 ◽

2017 ◽

Cited By ~ 1

Author(s):

Eric L. Lee ◽

Tsung-Ting Kuo ◽

Shou-De Lin

Keyword(s):

Collaborative Filtering ◽

Stage Model ◽

Two Stage

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Multi-label Learning with Label-Specific Features via Clustering Ensemble

2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA) ◽

10.1109/dsaa.2017.75 ◽

2017 ◽

Cited By ~ 2

Author(s):

Wang Zhan ◽

Min-Ling Zhang

Keyword(s):

Clustering Ensemble

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Dynamic and Heterogeneous Ensembles for Time Series Forecasting

2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA) ◽

10.1109/dsaa.2017.26 ◽

2017 ◽

Cited By ~ 2

Author(s):

Vitor Cerqueira ◽

Luis Torgo ◽

Mariana Oliveira ◽

Bernhard Pfahringer

Keyword(s):

Time Series ◽

Time Series Forecasting

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Conference Organization

2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA) ◽

10.1109/dsaa.2017.92 ◽

2017 ◽

Keyword(s):

Conference Organization

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2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA)Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

RadiusSketch: Massively Distributed Indexing of Time Series

Supercharging Crowd Dynamics Estimation in Disasters via Spatio-Temporal Deep Neural Network

Learning Low-Rank Document Embeddings with Weighted Nuclear Norm Regularization

The Initialization and Parameter Setting Problem in Tensor Decomposition-Based Link Prediction

Coupled Bayesian Matrix Factorization in Recommender Systems

Latent Dimensionality Estimation for Probabilistic Canonical Correlation Analysis Using Normalized Maximum Likelihood Code-Length

A Collaborative Filtering-Based Two Stage Model with Item Dependency for Course Recommendation

Multi-label Learning with Label-Specific Features via Clustering Ensemble

Dynamic and Heterogeneous Ensembles for Time Series Forecasting

Conference Organization

2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA)
Latest Publications