Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783319930336, 9783319930343

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Vine Copula-Based Asymmetry and Tail Dependence Modeling

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-93034-3_23 ◽

2018 ◽

pp. 285-297 ◽

Cited By ~ 1

Author(s):

Jia Xu ◽

Longbing Cao

Keyword(s):

Tail Dependence ◽

Dependence Modeling ◽

Vine Copula

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Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-93034-3_3 ◽

2018 ◽

pp. 29-42 ◽

Cited By ~ 3

Author(s):

Michael Rapp ◽

Eneldo Loza Mencía ◽

Johannes Fürnkranz

Keyword(s):

Evaluation Measures

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Social Stream Classification with Emerging New Labels

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-93034-3_2 ◽

2018 ◽

pp. 16-28 ◽

Cited By ~ 4

Author(s):

Xin Mu ◽

Feida Zhu ◽

Yue Liu ◽

Ee-Peng Lim ◽

Zhi-Hua Zhou

Keyword(s):

Stream Classification ◽

Social Stream

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Fuzzy Integral Optimization with Deep Q-Network for EEG-Based Intention Recognition

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-93034-3_13 ◽

2018 ◽

pp. 156-168 ◽

Cited By ~ 4

Author(s):

Dalin Zhang ◽

Lina Yao ◽

Sen Wang ◽

Kaixuan Chen ◽

Zheng Yang ◽

...

Keyword(s):

Fuzzy Integral ◽

Intention Recognition

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Deep Learning for Forecasting Stock Returns in the Cross-Section

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-93034-3_22 ◽

2018 ◽

pp. 273-284 ◽

Cited By ~ 17

Author(s):

Masaya Abe ◽

Hideki Nakayama

Keyword(s):

Deep Learning ◽

Stock Returns ◽

Cross Section ◽

The Cross

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DeepAD: A Generic Framework Based on Deep Learning for Time Series Anomaly Detection

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-93034-3_46 ◽

2018 ◽

pp. 577-588 ◽

Cited By ~ 6

Author(s):

Teodora Sandra Buda ◽

Bora Caglayan ◽

Haytham Assem

Keyword(s):

Time Series ◽

Deep Learning ◽

Anomaly Detection ◽

Generic Framework

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Human Identification via Unsupervised Feature Learning from UWB Radar Data

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-93034-3_26 ◽

2018 ◽

pp. 322-334 ◽

Cited By ~ 2

Author(s):

Jie Yin ◽

Son N. Tran ◽

Qing Zhang

Keyword(s):

Feature Learning ◽

Human Identification ◽

Radar Data ◽

Unsupervised Feature Learning ◽

Uwb Radar

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An Unsupervised Boosting Strategy for Outlier Detection Ensembles

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-93034-3_45 ◽

2018 ◽

pp. 564-576 ◽

Cited By ~ 4

Author(s):

Guilherme O. Campos ◽

Arthur Zimek ◽

Wagner Meira

Keyword(s):

Outlier Detection

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Automated Explanations of User-Expected Trends for Aggregate Queries

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-93034-3_48 ◽

2018 ◽

pp. 602-614

Author(s):

Ibrahim A. Ibrahim ◽

Xue Li ◽

Xin Zhao ◽

Sanad Al Maskari ◽

Abdullah M. Albarrak ◽

...

Keyword(s):

Aggregate Queries

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Classifier Risk Estimation Under Limited Labeling Resources

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-93034-3_1 ◽

2018 ◽

pp. 3-15

Author(s):

Anurag Kumar ◽

Bhiksha Raj

Keyword(s):

Risk Estimation

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Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Vine Copula-Based Asymmetry and Tail Dependence Modeling

Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules

Social Stream Classification with Emerging New Labels

Fuzzy Integral Optimization with Deep Q-Network for EEG-Based Intention Recognition

Deep Learning for Forecasting Stock Returns in the Cross-Section

DeepAD: A Generic Framework Based on Deep Learning for Time Series Anomaly Detection

Human Identification via Unsupervised Feature Learning from UWB Radar Data

An Unsupervised Boosting Strategy for Outlier Detection Ensembles

Automated Explanations of User-Expected Trends for Aggregate Queries

Classifier Risk Estimation Under Limited Labeling Resources

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science
Latest Publications