Studies in Big Data - Learning from Data Streams in Evolving Environments
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Published By Springer International Publishing

9783319898025, 9783319898032

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Process Mining for Analyzing Customer Relationship Management Systems: A Case Study

Studies in Big Data - Learning from Data Streams in Evolving Environments ◽

10.1007/978-3-319-89803-2_9 ◽

2018 ◽

pp. 209-221 ◽

Cited By ~ 1

Author(s):

Ahmed Fares ◽

João Gama ◽

Pedro Campos

Keyword(s):

Customer Relationship Management ◽

Process Mining ◽

Relationship Management ◽

Customer Relationship ◽

Management Systems

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Transfer Learning in Non-stationary Environments

Studies in Big Data - Learning from Data Streams in Evolving Environments ◽

10.1007/978-3-319-89803-2_2 ◽

2018 ◽

pp. 13-37 ◽

Cited By ~ 2

Author(s):

Leandro L. Minku

Keyword(s):

Transfer Learning

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Error-Bounded Approximation of Data Stream: Methods and Theories

Studies in Big Data - Learning from Data Streams in Evolving Environments ◽

10.1007/978-3-319-89803-2_5 ◽

2018 ◽

pp. 93-122

Author(s):

Qing Xie ◽

Chaoyi Pang ◽

Xiaofang Zhou ◽

Xiangliang Zhang ◽

Ke Deng

Keyword(s):

Data Stream

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Processing Evolving Social Networks for Change Detection Based on Centrality Measures

Studies in Big Data - Learning from Data Streams in Evolving Environments ◽

10.1007/978-3-319-89803-2_7 ◽

2018 ◽

pp. 155-176 ◽

Cited By ~ 1

Author(s):

Fabíola S. F. Pereira ◽

Shazia Tabassum ◽

João Gama ◽

Sandra de Amo ◽

Gina M. B. Oliveira

Keyword(s):

Social Networks ◽

Change Detection ◽

Centrality Measures

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Incremental SVM Learning: Review

Studies in Big Data - Learning from Data Streams in Evolving Environments ◽

10.1007/978-3-319-89803-2_12 ◽

2018 ◽

pp. 279-296 ◽

Cited By ~ 3

Author(s):

Isah Abdullahi Lawal

Keyword(s):

Incremental Svm

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Efficient Estimation of Dynamic Density Functions with Applications in Data Streams

Studies in Big Data - Learning from Data Streams in Evolving Environments ◽

10.1007/978-3-319-89803-2_11 ◽

2018 ◽

pp. 247-278

Author(s):

Abdulhakim Qahtan ◽

Suojin Wang ◽

Xiangliang Zhang

Keyword(s):

Data Streams ◽

Efficient Estimation ◽

Density Functions ◽

Dynamic Density

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Introduction

Studies in Big Data - Learning from Data Streams in Evolving Environments ◽

10.1007/978-3-319-89803-2_1 ◽

2018 ◽

pp. 1-12

Author(s):

Moamar Sayed-Mouchaweh

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Detecting Smooth Cluster Changes in Evolving Graph Structures

Studies in Big Data - Learning from Data Streams in Evolving Environments ◽

10.1007/978-3-319-89803-2_10 ◽

2018 ◽

pp. 223-246

Author(s):

Sohei Okui ◽

Kaho Osamura ◽

Akihiro Inokuchi

Keyword(s):

Graph Structures

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On Social Network-Based Algorithms for Data Stream Clustering

Studies in Big Data - Learning from Data Streams in Evolving Environments ◽

10.1007/978-3-319-89803-2_13 ◽

2018 ◽

pp. 297-317

Author(s):

Jean Paul Barddal ◽

Heitor Murilo Gomes ◽

Fabrício Enembreck

Keyword(s):

Social Network ◽

Data Stream ◽

Stream Clustering ◽

Data Stream Clustering

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Large-Scale Learning from Data Streams with Apache SAMOA

Studies in Big Data - Learning from Data Streams in Evolving Environments ◽

10.1007/978-3-319-89803-2_8 ◽

2018 ◽

pp. 177-207 ◽

Cited By ~ 2

Author(s):

Nicolas Kourtellis ◽

Gianmarco De Francisci Morales ◽

Albert Bifet

Keyword(s):

Data Streams ◽

Large Scale ◽

Large Scale Learning ◽

Learning From Data

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Studies in Big Data - Learning from Data Streams in Evolving EnvironmentsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Process Mining for Analyzing Customer Relationship Management Systems: A Case Study

Transfer Learning in Non-stationary Environments

Error-Bounded Approximation of Data Stream: Methods and Theories

Processing Evolving Social Networks for Change Detection Based on Centrality Measures

Incremental SVM Learning: Review

Efficient Estimation of Dynamic Density Functions with Applications in Data Streams

Introduction

Detecting Smooth Cluster Changes in Evolving Graph Structures

On Social Network-Based Algorithms for Data Stream Clustering

Large-Scale Learning from Data Streams with Apache SAMOA

Studies in Big Data - Learning from Data Streams in Evolving Environments
Latest Publications