Communications in Computer and Information Science - Data Mining
Latest Publications

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Published By Springer Singapore

9789811516986, 9789811516993

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Estimating County Health Indices Using Graph Neural Networks

Communications in Computer and Information Science - Data Mining ◽

10.1007/978-981-15-1699-3_6 ◽

2019 ◽

pp. 64-76 ◽

Cited By ~ 2

Author(s):

Hung Nguyen ◽

Duc Thanh Nguyen ◽

Thin Nguyen

Keyword(s):

Neural Networks ◽

Health Indices ◽

Graph Neural Networks

Network Path Estimation in Uncertain Data via Entity Resolution

Communications in Computer and Information Science - Data Mining ◽

10.1007/978-981-15-1699-3_16 ◽

2019 ◽

pp. 196-207 ◽

Cited By ~ 1

Author(s):

Dean Philp ◽

Naomi Chan ◽

Wolfgang Mayer

Keyword(s):

Uncertain Data ◽

Entity Resolution

Applying Softmax Classifiers to Open Set

Communications in Computer and Information Science - Data Mining ◽

10.1007/978-981-15-1699-3_9 ◽

2019 ◽

pp. 104-115

Author(s):

Darren Webb

Keyword(s):

Open Set

Outlier Detection Based Accurate Geocoding of Historical Addresses

Communications in Computer and Information Science - Data Mining ◽

10.1007/978-981-15-1699-3_4 ◽

2019 ◽

pp. 41-53

Author(s):

Nishadi Kirielle ◽

Peter Christen ◽

Thilina Ranbaduge

Keyword(s):

Outlier Detection

Topic Representation using Semantic-Based Patterns

Communications in Computer and Information Science - Data Mining ◽

10.1007/978-981-15-1699-3_3 ◽

2019 ◽

pp. 28-40

Author(s):

Dakshi Kapugama Geeganage ◽

Yue Xu ◽

Yuefeng Li

A Learning Approach for Ill-Posed Optimisation Problems

Communications in Computer and Information Science - Data Mining ◽

10.1007/978-981-15-1699-3_2 ◽

2019 ◽

pp. 16-27 ◽

Cited By ~ 1

Author(s):

Jörg Frochte ◽

Stephen Marsland

Keyword(s):

Learning Approach ◽

Ill Posed

Interpretability of Machine Learning Solutions in Industrial Decision Engineering

Communications in Computer and Information Science - Data Mining ◽

10.1007/978-981-15-1699-3_13 ◽

2019 ◽

pp. 156-170

Author(s):

Inna Kolyshkina ◽

Simeon Simoff

Keyword(s):

Machine Learning ◽

Decision Engineering

Show Me Your Friends and I’ll Tell You Who You Are. Finding Anomalous Time Series by Conspicuous Cluster Transitions

Communications in Computer and Information Science - Data Mining ◽

10.1007/978-981-15-1699-3_8 ◽

2019 ◽

pp. 91-103 ◽

Cited By ~ 1

Author(s):

Martha Tatusch ◽

Gerhard Klassen ◽

Marcus Bravidor ◽

Stefan Conrad

Keyword(s):

Time Series

Joint Sequential Data Prediction with Multi-stream Stacked LSTM Network

Communications in Computer and Information Science - Data Mining ◽

10.1007/978-981-15-1699-3_7 ◽

2019 ◽

pp. 77-90

Author(s):

Nguyen Thanh Toan ◽

Orçun Gümüş ◽

Nguyen Thanh Tam ◽

Nguyen Quoc Viet Hung ◽

Rene Hexel ◽

...

Keyword(s):

Sequential Data ◽

Data Prediction ◽

Lstm Network

SPDF: Set Probabilistic Distance Features for Prediction of Population Health Outcomes via Social Media

Communications in Computer and Information Science - Data Mining ◽

10.1007/978-981-15-1699-3_5 ◽

2019 ◽

pp. 54-63

Author(s):

Hung Nguyen ◽

Duc Thanh Nguyen ◽

Thin Nguyen

Keyword(s):

Social Media ◽

Health Outcomes ◽

Population Health ◽

Probabilistic Distance

Communications in Computer and Information Science - Data MiningLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Singapore

Estimating County Health Indices Using Graph Neural Networks

Network Path Estimation in Uncertain Data via Entity Resolution

Applying Softmax Classifiers to Open Set

Outlier Detection Based Accurate Geocoding of Historical Addresses

Topic Representation using Semantic-Based Patterns

A Learning Approach for Ill-Posed Optimisation Problems

Interpretability of Machine Learning Solutions in Industrial Decision Engineering

Show Me Your Friends and I’ll Tell You Who You Are. Finding Anomalous Time Series by Conspicuous Cluster Transitions

Joint Sequential Data Prediction with Multi-stream Stacked LSTM Network

SPDF: Set Probabilistic Distance Features for Prediction of Population Health Outcomes via Social Media

Communications in Computer and Information Science - Data Mining
Latest Publications