2016 IEEE 16th International Conference on Data Mining (ICDM)
Latest Publications

TOTAL DOCUMENTS

190

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H-INDEX

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Published By IEEE

9781509054732

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Probabilistic Formulations of Regression with Mixed Guidance

2016 IEEE 16th International Conference on Data Mining (ICDM) ◽

10.1109/icdm.2016.0109 ◽

2016 ◽

Cited By ~ 1

Author(s):

Aubrey Gress ◽

Ian Davidson

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Subspace Outlier Detection in Linear Time with Randomized Hashing

2016 IEEE 16th International Conference on Data Mining (ICDM) ◽

10.1109/icdm.2016.0057 ◽

2016 ◽

Cited By ~ 13

Author(s):

Saket Sathe ◽

Charu C. Aggarwal

Keyword(s):

Outlier Detection ◽

Linear Time

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A Scalable Framework for Stylometric Analysis Query Processing

2016 IEEE 16th International Conference on Data Mining (ICDM) ◽

10.1109/icdm.2016.0147 ◽

2016 ◽

Cited By ~ 7

Author(s):

Sarana Nutanong ◽

Chenyun Yu ◽

Raheem Sarwar ◽

Peter Xu ◽

Dickson Chow

Keyword(s):

Query Processing

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On Efficient External-Memory Triangle Listing

2016 IEEE 16th International Conference on Data Mining (ICDM) ◽

10.1109/icdm.2016.0021 ◽

2016 ◽

Cited By ~ 8

Author(s):

Yi Cui ◽

Di Xiao ◽

Dmitri Loguinov

Keyword(s):

External Memory ◽

Triangle Listing

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Matrix Profile III: The Matrix Profile Allows Visualization of Salient Subsequences in Massive Time Series

2016 IEEE 16th International Conference on Data Mining (ICDM) ◽

10.1109/icdm.2016.0069 ◽

2016 ◽

Cited By ~ 13

Author(s):

Chin-Chia Michael Yeh ◽

Helga Van Herle ◽

Eamonn Keogh

Keyword(s):

Time Series ◽

The Matrix

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Spectrum-Revealing Cholesky Factorization for Kernel Methods

2016 IEEE 16th International Conference on Data Mining (ICDM) ◽

10.1109/icdm.2016.0175 ◽

2016 ◽

Cited By ~ 2

Author(s):

Jianwei Xiao ◽

Ming Gu

Keyword(s):

Kernel Methods ◽

Cholesky Factorization

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Deep Convolutional Factor Analyser for Multivariate Time Series Modeling

2016 IEEE 16th International Conference on Data Mining (ICDM) ◽

10.1109/icdm.2016.0180 ◽

2016 ◽

Cited By ~ 1

Author(s):

Chao Yuan ◽

Amit Chakraborty

Keyword(s):

Time Series ◽

Multivariate Time Series ◽

Time Series Modeling

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Structure Selection for Convolutive Non-negative Matrix Factorization Using Normalized Maximum Likelihood Coding

2016 IEEE 16th International Conference on Data Mining (ICDM) ◽

10.1109/icdm.2016.0163 ◽

2016 ◽

Cited By ~ 2

Author(s):

Atsushi Suzuki ◽

Kohei Miyaguchi ◽

Kenji Yamanishi

Keyword(s):

Maximum Likelihood ◽

Matrix Factorization ◽

Structure Selection ◽

Normalized Maximum Likelihood ◽

Selection For ◽

Non Negative Matrix Factorization

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Learning Hierarchically Decomposable Concepts with Active Over-Labeling

2016 IEEE 16th International Conference on Data Mining (ICDM) ◽

10.1109/icdm.2016.0045 ◽

2016 ◽

Cited By ~ 1

Author(s):

Yuji Mo ◽

Stephen D. Scott ◽

Doug Downey

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Structure-Preserved Multi-source Domain Adaptation

2016 IEEE 16th International Conference on Data Mining (ICDM) ◽

10.1109/icdm.2016.0136 ◽

2016 ◽

Cited By ~ 2

Author(s):

Hongfu Liu ◽

Ming Shao ◽

Yun Fu

Keyword(s):

Domain Adaptation ◽

Source Domain

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2016 IEEE 16th International Conference on Data Mining (ICDM)Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

Probabilistic Formulations of Regression with Mixed Guidance

Subspace Outlier Detection in Linear Time with Randomized Hashing

A Scalable Framework for Stylometric Analysis Query Processing

On Efficient External-Memory Triangle Listing

Matrix Profile III: The Matrix Profile Allows Visualization of Salient Subsequences in Massive Time Series

Spectrum-Revealing Cholesky Factorization for Kernel Methods

Deep Convolutional Factor Analyser for Multivariate Time Series Modeling

Structure Selection for Convolutive Non-negative Matrix Factorization Using Normalized Maximum Likelihood Coding

Learning Hierarchically Decomposable Concepts with Active Over-Labeling

Structure-Preserved Multi-source Domain Adaptation

2016 IEEE 16th International Conference on Data Mining (ICDM)
Latest Publications