Advances in Data Mining. Applications and Theoretical Aspects - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783319415604, 9783319415611

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A Novel Multivariate Mapping Method for Analyzing High-Dimensional Numerical Datasets

Advances in Data Mining. Applications and Theoretical Aspects - Lecture Notes in Computer Science ◽

10.1007/978-3-319-41561-1_23 ◽

2016 ◽

pp. 311-319

Author(s):

Edwin Aldana-Bobadilla ◽

Alejandro Molina-Villegas

Keyword(s):

Mapping Method ◽

High Dimensional

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The Computational Wine Wheel 2.0 and the TriMax Triclustering in Wineinformatics

Advances in Data Mining. Applications and Theoretical Aspects - Lecture Notes in Computer Science ◽

10.1007/978-3-319-41561-1_17 ◽

2016 ◽

pp. 223-238 ◽

Cited By ~ 1

Author(s):

Bernard Chen ◽

Christopher Rhodes ◽

Alexander Yu ◽

Valentin Velchev

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Understanding the Wine Judges and Evaluating the Consistency Through White-Box Classification Algorithms

Advances in Data Mining. Applications and Theoretical Aspects - Lecture Notes in Computer Science ◽

10.1007/978-3-319-41561-1_18 ◽

2016 ◽

pp. 239-252 ◽

Cited By ~ 2

Author(s):

Bernard Chen ◽

Hai Le ◽

Christopher Rhodes ◽

Dongsheng Che

Keyword(s):

Classification Algorithms

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A Matching Approach Based on Term Clusters for eRecruitment

Advances in Data Mining. Applications and Theoretical Aspects - Lecture Notes in Computer Science ◽

10.1007/978-3-319-41561-1_29 ◽

2016 ◽

pp. 394-404

Author(s):

Gülşen Bal ◽

Aşkın Karakaş ◽

Tunga Güngör ◽

Fatmagül Süzen ◽

Kemal Can Kara

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Multi-exponential Lifetime Extraction in Time-Logarithmic Scale

Advances in Data Mining. Applications and Theoretical Aspects - Lecture Notes in Computer Science ◽

10.1007/978-3-319-41561-1_21 ◽

2016 ◽

pp. 282-296 ◽

Cited By ~ 2

Author(s):

Andrew V. Knyazev ◽

Qun Gao ◽

Koon Hoo Teo

Keyword(s):

Logarithmic Scale

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Induction of Model Trees for Predicting BOD in River Water: A Data Mining Perspective

Advances in Data Mining. Applications and Theoretical Aspects - Lecture Notes in Computer Science ◽

10.1007/978-3-319-41561-1_1 ◽

2016 ◽

pp. 1-13 ◽

Cited By ~ 1

Author(s):

J. Alamelu Mangai ◽

Bharat B. Gulyani

Keyword(s):

Data Mining ◽

River Water ◽

Model Trees

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Duration-Aware Alignment of Process Traces

Advances in Data Mining. Applications and Theoretical Aspects - Lecture Notes in Computer Science ◽

10.1007/978-3-319-41561-1_28 ◽

2016 ◽

pp. 379-393 ◽

Cited By ~ 6

Author(s):

Sen Yang ◽

Moliang Zhou ◽

Rachel Webman ◽

JaeWon Yang ◽

Aleksandra Sarcevic ◽

...

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Incremental Response Modeling Based on Segmentation Approach Using Uplift Decision Trees

Advances in Data Mining. Applications and Theoretical Aspects - Lecture Notes in Computer Science ◽

10.1007/978-3-319-41561-1_5 ◽

2016 ◽

pp. 54-63 ◽

Cited By ~ 1

Author(s):

Sankara Prasad Kondareddy ◽

Shruti Agrawal ◽

Shishir Shekhar

Keyword(s):

Decision Trees ◽

Segmentation Approach ◽

Response Modeling

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The WoMan Formalism for Expressing Process Models

Advances in Data Mining. Applications and Theoretical Aspects - Lecture Notes in Computer Science ◽

10.1007/978-3-319-41561-1_27 ◽

2016 ◽

pp. 363-378 ◽

Cited By ~ 5

Author(s):

Stefano Ferilli

Keyword(s):

Process Models

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Early Predictive System for Diabetes Mellitus Disease

Advances in Data Mining. Applications and Theoretical Aspects - Lecture Notes in Computer Science ◽

10.1007/978-3-319-41561-1_31 ◽

2016 ◽

pp. 420-427 ◽

Cited By ~ 8

Author(s):

Karim M. Orabi ◽

Yasser M. Kamal ◽

Thanaa M. Rabah

Keyword(s):

Diabetes Mellitus

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Advances in Data Mining. Applications and Theoretical Aspects - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

A Novel Multivariate Mapping Method for Analyzing High-Dimensional Numerical Datasets

The Computational Wine Wheel 2.0 and the TriMax Triclustering in Wineinformatics

Understanding the Wine Judges and Evaluating the Consistency Through White-Box Classification Algorithms

A Matching Approach Based on Term Clusters for eRecruitment

Multi-exponential Lifetime Extraction in Time-Logarithmic Scale

Induction of Model Trees for Predicting BOD in River Water: A Data Mining Perspective

Duration-Aware Alignment of Process Traces

Incremental Response Modeling Based on Segmentation Approach Using Uplift Decision Trees

The WoMan Formalism for Expressing Process Models

Early Predictive System for Diabetes Mellitus Disease

Advances in Data Mining. Applications and Theoretical Aspects - Lecture Notes in Computer Science
Latest Publications