Series in Machine Perception and Artificial Intelligence - Data Mining in Time Series and Streaming Databases
Latest Publications

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Published By WORLD SCIENTIFIC

9789813228030, 9789813228047

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Supporting the Mining of Big Data by Means of Domain Knowledge During the Pre-mining Phases

Series in Machine Perception and Artificial Intelligence - Data Mining in Time Series and Streaming Databases ◽

10.1142/9789813228047_0006 ◽

2018 ◽

pp. 118-143

Author(s):

Rémon Cornelisse ◽

Sunil Choenni

Keyword(s):

Big Data ◽

Domain Knowledge

Streaming Data Mining with Massive Online Analytics (MOA)

Series in Machine Perception and Artificial Intelligence - Data Mining in Time Series and Streaming Databases ◽

10.1142/9789813228047_0001 ◽

2018 ◽

pp. 1-25 ◽

Cited By ~ 1

Author(s):

Albert Bifet ◽

Jesse Read ◽

Geoff Holmes ◽

Bernhard Pfahringer

Keyword(s):

Data Mining ◽

Streaming Data

Weightless Neural Modeling for Mining Data Streams

Series in Machine Perception and Artificial Intelligence - Data Mining in Time Series and Streaming Databases ◽

10.1142/9789813228047_0002 ◽

2018 ◽

pp. 26-43

Author(s):

Douglas O. Cardoso ◽

João Gama ◽

Felipe França

Keyword(s):

Data Streams ◽

Neural Modeling ◽

Mining Data Streams

Consensus Learning for Sequence Data

Series in Machine Perception and Artificial Intelligence - Data Mining in Time Series and Streaming Databases ◽

10.1142/9789813228047_0004 ◽

2018 ◽

pp. 69-91 ◽

Cited By ~ 1

Author(s):

Andreas Nienkötter ◽

Xiaoyi Jiang

Keyword(s):

Sequence Data

Clustering-Based Classification of Document Streams with Active Learning

Series in Machine Perception and Artificial Intelligence - Data Mining in Time Series and Streaming Databases ◽

10.1142/9789813228047_0005 ◽

2018 ◽

pp. 92-117

Author(s):

Mark Last ◽

Maxim Stoliar ◽

Menahem Friedman

Keyword(s):

Active Learning

BACK MATTER

Series in Machine Perception and Artificial Intelligence - Data Mining in Time Series and Streaming Databases ◽

10.1142/9789813228047_bmatter ◽

2018 ◽

pp. 169-171

Author(s):

Mark Last ◽

Horst Bunke ◽

Abraham Kandel

FRONT MATTER

Series in Machine Perception and Artificial Intelligence - Data Mining in Time Series and Streaming Databases ◽

10.1142/9789813228047_fmatter ◽

2018 ◽

pp. i-xxiv

Author(s):

Mark Last ◽

Horst Bunke ◽

Abraham Kandel

Data Analytics: Industrial Perspective & Solutions for Streaming Data

Series in Machine Perception and Artificial Intelligence - Data Mining in Time Series and Streaming Databases ◽

10.1142/9789813228047_0007 ◽

2018 ◽

pp. 144-168 ◽

Cited By ~ 3

Author(s):

Mohsin Munir ◽

Sebastian Baumbach ◽

Ying Gu ◽

Andreas Dengel ◽

Sheraz Ahmed

Keyword(s):

Data Analytics ◽

Streaming Data

Ensemble Classifiers for Imbalanced and Evolving Data Streams

Series in Machine Perception and Artificial Intelligence - Data Mining in Time Series and Streaming Databases ◽

10.1142/9789813228047_0003 ◽

2018 ◽

pp. 44-68 ◽

Cited By ~ 3

Author(s):

Dariusz Brzezinski ◽

Jerzy Stefanowski

Keyword(s):

Data Streams ◽

Ensemble Classifiers ◽

Evolving Data

Series in Machine Perception and Artificial Intelligence - Data Mining in Time Series and Streaming DatabasesLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By WORLD SCIENTIFIC

Supporting the Mining of Big Data by Means of Domain Knowledge During the Pre-mining Phases

Streaming Data Mining with Massive Online Analytics (MOA)

Weightless Neural Modeling for Mining Data Streams

Consensus Learning for Sequence Data

Clustering-Based Classification of Document Streams with Active Learning

BACK MATTER

FRONT MATTER

Data Analytics: Industrial Perspective & Solutions for Streaming Data

Ensemble Classifiers for Imbalanced and Evolving Data Streams

Series in Machine Perception and Artificial Intelligence - Data Mining in Time Series and Streaming Databases
Latest Publications