Unsupervised and Semi-Supervised Learning - Linking and Mining Heterogeneous and Multi-view Data
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Published By Springer International Publishing

9783030018719, 9783030018726

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Clustering Multi-View Data Using Non-negative Matrix Factorization and Manifold Learning for Effective Understanding: A Survey Paper

Unsupervised and Semi-Supervised Learning - Linking and Mining Heterogeneous and Multi-view Data ◽

10.1007/978-3-030-01872-6_9 ◽

2018 ◽

pp. 201-227 ◽

Cited By ~ 1

Author(s):

Khanh Luong ◽

Richi Nayak

Keyword(s):

Manifold Learning ◽

Matrix Factorization ◽

Survey Paper ◽

Non Negative Matrix Factorization

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A Review of Unsupervised and Semi-supervised Blocking Methods for Record Linkage

Unsupervised and Semi-Supervised Learning - Linking and Mining Heterogeneous and Multi-view Data ◽

10.1007/978-3-030-01872-6_4 ◽

2018 ◽

pp. 79-105 ◽

Cited By ~ 1

Author(s):

Kevin O’Hare ◽

Anna Jurek-Loughrey ◽

Cassio de Campos

Keyword(s):

Record Linkage

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How Did the Discussion Go: Discourse Act Classification in Social Media Conversations

Unsupervised and Semi-Supervised Learning - Linking and Mining Heterogeneous and Multi-view Data ◽

10.1007/978-3-030-01872-6_6 ◽

2018 ◽

pp. 137-160

Author(s):

Subhabrata Dutta ◽

Tanmoy Chakraborty ◽

Dipankar Das

Keyword(s):

Social Media

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Learning from Imbalanced Datasets with Cross-View Cooperation-Based Ensemble Methods

Unsupervised and Semi-Supervised Learning - Linking and Mining Heterogeneous and Multi-view Data ◽

10.1007/978-3-030-01872-6_7 ◽

2018 ◽

pp. 161-182

Author(s):

Cécile Capponi ◽

Sokol Koço

Keyword(s):

Ensemble Methods ◽

Imbalanced Datasets

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Multi-View Clustering

Unsupervised and Semi-Supervised Learning - Linking and Mining Heterogeneous and Multi-view Data ◽

10.1007/978-3-030-01872-6_2 ◽

2018 ◽

pp. 27-53

Author(s):

Deepak P ◽

Anna Jurek-Loughrey

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General Framework for Multi-View Metric Learning

Unsupervised and Semi-Supervised Learning - Linking and Mining Heterogeneous and Multi-view Data ◽

10.1007/978-3-030-01872-6_11 ◽

2018 ◽

pp. 265-294

Author(s):

Riikka Huusari ◽

Hachem Kadri ◽

Cécile Capponi

Keyword(s):

General Framework ◽

Metric Learning

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On the Evaluation of Community Detection Algorithms on Heterogeneous Social Media Data

Unsupervised and Semi-Supervised Learning - Linking and Mining Heterogeneous and Multi-view Data ◽

10.1007/978-3-030-01872-6_12 ◽

2018 ◽

pp. 295-333

Author(s):

Antonela Tommasel ◽

Daniela Godoy

Keyword(s):

Social Media ◽

Community Detection ◽

Social Media Data ◽

Detection Algorithms ◽

Media Data

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Multi-View Data Completion

Unsupervised and Semi-Supervised Learning - Linking and Mining Heterogeneous and Multi-view Data ◽

10.1007/978-3-030-01872-6_1 ◽

2018 ◽

pp. 1-25

Author(s):

Sahely Bhadra

Keyword(s):

Data Completion

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Entity Linking in Enterprise Search: Combining Textual and Structural Information

Unsupervised and Semi-Supervised Learning - Linking and Mining Heterogeneous and Multi-view Data ◽

10.1007/978-3-030-01872-6_8 ◽

2018 ◽

pp. 183-199

Author(s):

Sumit Bhatia

Keyword(s):

Structural Information ◽

Entity Linking ◽

Enterprise Search

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Traffic Sensing and Assessing in Digital Transportation Systems

Unsupervised and Semi-Supervised Learning - Linking and Mining Heterogeneous and Multi-view Data ◽

10.1007/978-3-030-01872-6_5 ◽

2018 ◽

pp. 107-135

Author(s):

Hana Rabbouch ◽

Foued Saâdaoui ◽

Rafaa Mraihi

Keyword(s):

Transportation Systems

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Unsupervised and Semi-Supervised Learning - Linking and Mining Heterogeneous and Multi-view DataLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Clustering Multi-View Data Using Non-negative Matrix Factorization and Manifold Learning for Effective Understanding: A Survey Paper

A Review of Unsupervised and Semi-supervised Blocking Methods for Record Linkage

How Did the Discussion Go: Discourse Act Classification in Social Media Conversations

Learning from Imbalanced Datasets with Cross-View Cooperation-Based Ensemble Methods

Multi-View Clustering

General Framework for Multi-View Metric Learning

On the Evaluation of Community Detection Algorithms on Heterogeneous Social Media Data

Multi-View Data Completion

Entity Linking in Enterprise Search: Combining Textual and Structural Information

Traffic Sensing and Assessing in Digital Transportation Systems

Unsupervised and Semi-Supervised Learning - Linking and Mining Heterogeneous and Multi-view Data
Latest Publications