Unsupervised and Semi-Supervised Learning - Supervised and Unsupervised Learning for Data Science
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Published By Springer International Publishing

9783030224745, 9783030224752

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

New Applications of a Supervised Computational Intelligence (CI) Approach: Case Study in Civil Engineering

Unsupervised and Semi-Supervised Learning - Supervised and Unsupervised Learning for Data Science ◽

10.1007/978-3-030-22475-2_8 ◽

2019 ◽

pp. 145-182

Author(s):

Ameer A. Jebur ◽

Dhiya Al-Jumeily ◽

Khalid R. Aljanabi ◽

Rafid M. Al Khaddar ◽

William Atherton ◽

...

Keyword(s):

Computational Intelligence ◽

Civil Engineering ◽

New Applications

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Overview of One-Pass and Discard-After-Learn Concepts for Classification and Clustering in Streaming Environment with Constraints

Unsupervised and Semi-Supervised Learning - Supervised and Unsupervised Learning for Data Science ◽

10.1007/978-3-030-22475-2_2 ◽

2019 ◽

pp. 23-37

Author(s):

Chidchanok Lursinsap

Keyword(s):

Classification And Clustering

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Enhanced Tweet Hybrid Recommender System Using Unsupervised Topic Modeling and Matrix Factorization-Based Neural Network

Unsupervised and Semi-Supervised Learning - Supervised and Unsupervised Learning for Data Science ◽

10.1007/978-3-030-22475-2_7 ◽

2019 ◽

pp. 121-143 ◽

Cited By ~ 2

Author(s):

Arisara Pornwattanavichai ◽

Prawpan Brahmasakha na sakolnagara ◽

Pongsakorn Jirachanchaisiri ◽

Janekhwan Kitsupapaisan ◽

Saranya Maneeroj

Keyword(s):

Neural Network ◽

Recommender System ◽

Matrix Factorization ◽

Topic Modeling ◽

Hybrid Recommender System ◽

Hybrid Recommender

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Semantic Unsupervised Learning for Word Sense Disambiguation

Unsupervised and Semi-Supervised Learning - Supervised and Unsupervised Learning for Data Science ◽

10.1007/978-3-030-22475-2_6 ◽

2019 ◽

pp. 101-120 ◽

Cited By ~ 1

Author(s):

Dian I. Martin ◽

Michael W. Berry ◽

John C. Martin

Keyword(s):

Unsupervised Learning ◽

Word Sense Disambiguation ◽

Word Sense ◽

Sense Disambiguation

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Using Non-negative Tensor Decomposition for Unsupervised Textual Influence Modeling

Unsupervised and Semi-Supervised Learning - Supervised and Unsupervised Learning for Data Science ◽

10.1007/978-3-030-22475-2_4 ◽

2019 ◽

pp. 59-82

Author(s):

Robert E. Lowe ◽

Michael W. Berry

Keyword(s):

Tensor Decomposition

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A Systematic Review on Supervised and Unsupervised Machine Learning Algorithms for Data Science

Unsupervised and Semi-Supervised Learning - Supervised and Unsupervised Learning for Data Science ◽

10.1007/978-3-030-22475-2_1 ◽

2019 ◽

pp. 3-21 ◽

Cited By ~ 4

Author(s):

Mohamed Alloghani ◽

Dhiya Al-Jumeily ◽

Jamila Mustafina ◽

Abir Hussain ◽

Ahmed J. Aljaaf

Keyword(s):

Machine Learning ◽

Systematic Review ◽

Data Science ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Unsupervised Machine Learning

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Survival Support Vector Machines: A Simulation Study and Its Health-Related Application

Unsupervised and Semi-Supervised Learning - Supervised and Unsupervised Learning for Data Science ◽

10.1007/978-3-030-22475-2_5 ◽

2019 ◽

pp. 85-100

Author(s):

Dedy Dwi Prastyo ◽

Halwa Annisa Khoiri ◽

Santi Wulan Purnami ◽

Suhartono ◽

Soo-Fen Fam ◽

...

Keyword(s):

Support Vector Machines ◽

Simulation Study ◽

Support Vector ◽

Vector Machines ◽

Health Related ◽

Related Application

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Distributed Single-Source Shortest Path Algorithms with Two-Dimensional Graph Layout

Unsupervised and Semi-Supervised Learning - Supervised and Unsupervised Learning for Data Science ◽

10.1007/978-3-030-22475-2_3 ◽

2019 ◽

pp. 39-58

Author(s):

Thap Panitanarak

Keyword(s):

Shortest Path ◽

Two Dimensional ◽

Graph Layout ◽

Single Source ◽

Shortest Path Algorithms ◽

Dimensional Graph

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Unsupervised and Semi-Supervised Learning - Supervised and Unsupervised Learning for Data ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

New Applications of a Supervised Computational Intelligence (CI) Approach: Case Study in Civil Engineering

Overview of One-Pass and Discard-After-Learn Concepts for Classification and Clustering in Streaming Environment with Constraints

Enhanced Tweet Hybrid Recommender System Using Unsupervised Topic Modeling and Matrix Factorization-Based Neural Network

Semantic Unsupervised Learning for Word Sense Disambiguation

Using Non-negative Tensor Decomposition for Unsupervised Textual Influence Modeling

A Systematic Review on Supervised and Unsupervised Machine Learning Algorithms for Data Science

Survival Support Vector Machines: A Simulation Study and Its Health-Related Application

Distributed Single-Source Shortest Path Algorithms with Two-Dimensional Graph Layout

Unsupervised and Semi-Supervised Learning - Supervised and Unsupervised Learning for Data Science
Latest Publications