Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783642374524, 9783642374531

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Frequent Pattern Mining in Attributed Trees

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37453-1_3 ◽

2013 ◽

pp. 26-37 ◽

Cited By ~ 2

Author(s):

Claude Pasquier ◽

Jérémy Sanhes ◽

Frédéric Flouvat ◽

Nazha Selmaoui-Folcher

Keyword(s):

Pattern Mining ◽

Frequent Pattern Mining ◽

Frequent Pattern

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NARGES: Prediction Model for Informed Routing in a Communications Network

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37453-1_27 ◽

2013 ◽

pp. 327-338

Author(s):

Hooman Homayounfard ◽

Paul J. Kennedy ◽

Robin Braun

Keyword(s):

Prediction Model ◽

Communications Network

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Measuring Reproducibility of High-Throughput Deep-Sequencing Experiments Based on Self-adaptive Mixture Copula

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37453-1_25 ◽

2013 ◽

pp. 301-313

Author(s):

Qian Zhang ◽

Junping Zhang ◽

Chenghai Xue

Keyword(s):

High Throughput ◽

Deep Sequencing ◽

Self Adaptive

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Learning from Multiple Observers with Unknown Expertise

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37453-1_49 ◽

2013 ◽

pp. 595-606 ◽

Cited By ~ 6

Author(s):

Han Xiao ◽

Huang Xiao ◽

Claudia Eckert

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Multiplex Topic Models

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37453-1_47 ◽

2013 ◽

pp. 568-582

Author(s):

Juan Yang ◽

Jia Zeng ◽

William K. Cheung

Keyword(s):

Topic Models

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Inducing Context Gazetteers from Encyclopedic Databases for Named Entity Recognition

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37453-1_31 ◽

2013 ◽

pp. 378-389

Author(s):

Han-Cheol Cho ◽

Naoaki Okazaki ◽

Kentaro Inui

Keyword(s):

Named Entity Recognition ◽

Entity Recognition ◽

Named Entity

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PUF-Tree: A Compact Tree Structure for Frequent Pattern Mining of Uncertain Data

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37453-1_2 ◽

2013 ◽

pp. 13-25 ◽

Cited By ~ 26

Author(s):

Carson Kai-Sang Leung ◽

Syed Khairuzzaman Tanbeer

Keyword(s):

Pattern Mining ◽

Uncertain Data ◽

Frequent Pattern Mining ◽

Tree Structure ◽

Frequent Pattern

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Discovery of Regional Co-location Patterns with k-Nearest Neighbor Graph

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37453-1_15 ◽

2013 ◽

pp. 174-186 ◽

Cited By ~ 3

Author(s):

Feng Qian ◽

Kevin Chiew ◽

Qinming He ◽

Hao Huang ◽

Lianhang Ma

Keyword(s):

Nearest Neighbor ◽

K Nearest Neighbor ◽

Neighbor Graph ◽

Location Patterns ◽

Nearest Neighbor Graph

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Leveraging Hybrid Citation Context for Impact Summarization

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37453-1_29 ◽

2013 ◽

pp. 354-365

Author(s):

Po Hu ◽

Yujing Guo ◽

Donghong Ji ◽

Jiacong He

Keyword(s):

Citation Context

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Fast and Effective Single Pass Bayesian Learning

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37453-1_13 ◽

2013 ◽

pp. 149-160 ◽

Cited By ~ 3

Author(s):

Nayyar A. Zaidi ◽

Geoffrey I. Webb

Keyword(s):

Bayesian Learning ◽

Single Pass

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Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Frequent Pattern Mining in Attributed Trees

NARGES: Prediction Model for Informed Routing in a Communications Network

Measuring Reproducibility of High-Throughput Deep-Sequencing Experiments Based on Self-adaptive Mixture Copula

Learning from Multiple Observers with Unknown Expertise

Multiplex Topic Models

Inducing Context Gazetteers from Encyclopedic Databases for Named Entity Recognition

PUF-Tree: A Compact Tree Structure for Frequent Pattern Mining of Uncertain Data

Discovery of Regional Co-location Patterns with k-Nearest Neighbor Graph

Leveraging Hybrid Citation Context for Impact Summarization

Fast and Effective Single Pass Bayesian Learning

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science
Latest Publications