Big Data Analytics and Knowledge Discovery - Lecture Notes in Computer Science
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9783319985381, 9783319985398

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Selection of Bitmap Join Index: Approach Based on Minimal Transversals

Big Data Analytics and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-319-98539-8_23 ◽

2018 ◽

pp. 302-316 ◽

Cited By ~ 3

Author(s):

Issam Ghabry ◽

Sadok Ben Yahia ◽

M. Nidhal Jelassi

Keyword(s):

Index Approach ◽

Selection Of

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E-Commerce Product Recommendation Using Historical Purchases and Clickstream Data

Big Data Analytics and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-319-98539-8_6 ◽

2018 ◽

pp. 70-82 ◽

Cited By ~ 1

Author(s):

Ying Xiao ◽

C. I. Ezeife

Keyword(s):

Clickstream Data ◽

Product Recommendation

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Subset Labeled LDA: A Topic Model for Extreme Multi-label Classification

Big Data Analytics and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-319-98539-8_12 ◽

2018 ◽

pp. 152-162 ◽

Cited By ~ 2

Author(s):

Yannis Papanikolaou ◽

Grigorios Tsoumakas

Keyword(s):

Topic Model

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Time Series Distance Density Cluster with Statistical Preprocessing

Big Data Analytics and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-319-98539-8_28 ◽

2018 ◽

pp. 371-381

Author(s):

Ruizhe Ma ◽

Soukaina Filali Boubrahimi ◽

Rafal Angryk

Keyword(s):

Time Series

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KMN - Removing Noise from K-Means Clustering Results

Big Data Analytics and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-319-98539-8_11 ◽

2018 ◽

pp. 137-151

Author(s):

Benjamin Schelling ◽

Claudia Plant

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FedS: Towards Traversing Federated RDF Graphs

Big Data Analytics and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-319-98539-8_3 ◽

2018 ◽

pp. 34-45 ◽

Cited By ~ 1

Author(s):

Qaiser Mehmood ◽

Alokkumar Jha ◽

Dietrich Rebholz-Schuhmann ◽

Ratnesh Sahay

Keyword(s):

Rdf Graphs

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Anonymization of Multiple and Personalized Sensitive Attributes

Big Data Analytics and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-319-98539-8_16 ◽

2018 ◽

pp. 204-215

Author(s):

Jerry Chun-Wei Lin ◽

Qiankun Liu ◽

Philippe Fournier-Viger ◽

Youcef Djenouri ◽

Ji Zhang

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Discovering Tight Space-Time Sequences

Big Data Analytics and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-319-98539-8_19 ◽

2018 ◽

pp. 247-257 ◽

Cited By ~ 2

Author(s):

Riccardo Campisano ◽

Heraldo Borges ◽

Fabio Porto ◽

Fabio Perosi ◽

Esther Pacitti ◽

...

Keyword(s):

Space Time ◽

Time Sequences

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Location Prediction Using Sentiments of Twitter Users

Big Data Analytics and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-319-98539-8_8 ◽

2018 ◽

pp. 98-108

Author(s):

Ritu Singh ◽

Durga Toshniwal

Keyword(s):

Location Prediction ◽

Twitter Users

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A Clustering Model for Uncertain Preferences Based on Belief Functions

Big Data Analytics and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-319-98539-8_9 ◽

2018 ◽

pp. 111-125

Author(s):

Yiru Zhang ◽

Tassadit Bouadi ◽

Arnaud Martin

Keyword(s):

Belief Functions ◽

Clustering Model ◽

Uncertain Preferences

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Big Data Analytics and Knowledge Discovery - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Selection of Bitmap Join Index: Approach Based on Minimal Transversals

E-Commerce Product Recommendation Using Historical Purchases and Clickstream Data

Subset Labeled LDA: A Topic Model for Extreme Multi-label Classification

Time Series Distance Density Cluster with Statistical Preprocessing

KMN - Removing Noise from K-Means Clustering Results

FedS: Towards Traversing Federated RDF Graphs

Anonymization of Multiple and Personalized Sensitive Attributes

Discovering Tight Space-Time Sequences

Location Prediction Using Sentiments of Twitter Users

A Clustering Model for Uncertain Preferences Based on Belief Functions

Big Data Analytics and Knowledge Discovery - Lecture Notes in Computer Science
Latest Publications