Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783319066073, 9783319066080

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Balancing the Analysis of Frequent Patterns

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

10.1007/978-3-319-06608-0_5 ◽

2014 ◽

pp. 53-64 ◽

Cited By ~ 2

Author(s):

Arnaud Giacometti ◽

Dominique H. Li ◽

Arnaud Soulet

Keyword(s):

Frequent Patterns

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A Framework for Large-Scale Train Trip Record Analysis and Its Application to Passengers’ Flow Prediction after Train Accidents

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

10.1007/978-3-319-06608-0_44 ◽

2014 ◽

pp. 533-544 ◽

Cited By ~ 6

Author(s):

Daisaku Yokoyama ◽

Masahiko Itoh ◽

Masashi Toyoda ◽

Yoshimitsu Tomita ◽

Satoshi Kawamura ◽

...

Keyword(s):

Large Scale ◽

Flow Prediction

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Intervention-Driven Predictive Framework for Modeling Healthcare Data

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

10.1007/978-3-319-06608-0_41 ◽

2014 ◽

pp. 497-508 ◽

Cited By ~ 1

Author(s):

Santu Rana ◽

Sunil Kumar Gupta ◽

Dinh Phung ◽

Svetha Venkatesh

Keyword(s):

Healthcare Data

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Ranking Tweets with Local and Global Consistency Using Rich Features

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

10.1007/978-3-319-06608-0_25 ◽

2014 ◽

pp. 298-309 ◽

Cited By ~ 1

Author(s):

Zhankun Huang ◽

Shenghua Liu ◽

Pan Du ◽

Xueqi Cheng

Keyword(s):

Global Consistency

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Collective Matrix Factorization of Predictors, Neighborhood and Targets for Semi-supervised Classification

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

10.1007/978-3-319-06608-0_24 ◽

2014 ◽

pp. 286-297 ◽

Cited By ~ 1

Author(s):

Lucas Rego Drumond ◽

Lars Schmidt-Thieme ◽

Christoph Freudenthaler ◽

Artus Krohn-Grimberghe

Keyword(s):

Matrix Factorization ◽

Supervised Classification

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Forward Classification on Data Streams

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

10.1007/978-3-319-06608-0_22 ◽

2014 ◽

pp. 261-272

Author(s):

Peng Wang ◽

Peng Zhang ◽

Yanan Cao ◽

Li Guo ◽

Bingxing Fang

Keyword(s):

Data Streams

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Multi-Instance Learning from Positive and Unlabeled Bags

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

10.1007/978-3-319-06608-0_20 ◽

2014 ◽

pp. 237-248 ◽

Cited By ~ 4

Author(s):

Jia Wu ◽

Xingquan Zhu ◽

Chengqi Zhang ◽

Zhihua Cai

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Characterizing Temporal Anomalies in Evolving Networks

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

10.1007/978-3-319-06608-0_35 ◽

2014 ◽

pp. 422-433 ◽

Cited By ~ 1

Author(s):

N. N. R. Ranga Suri ◽

M. Narasimha Murty ◽

G. Athithan

Keyword(s):

Evolving Networks

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Inferring Attitude in Online Social Networks Based on Quadratic Correlation

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

10.1007/978-3-319-06608-0_12 ◽

2014 ◽

pp. 139-150

Author(s):

Cong Wang ◽

Andrei A. Bulatov

Keyword(s):

Social Networks ◽

Online Social Networks

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Fast Triangle Core Decomposition for Mining Large Graphs

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

10.1007/978-3-319-06608-0_26 ◽

2014 ◽

pp. 310-322 ◽

Cited By ~ 6

Author(s):

Ryan A. Rossi

Keyword(s):

Large Graphs

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

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Balancing the Analysis of Frequent Patterns

A Framework for Large-Scale Train Trip Record Analysis and Its Application to Passengers’ Flow Prediction after Train Accidents

Intervention-Driven Predictive Framework for Modeling Healthcare Data

Ranking Tweets with Local and Global Consistency Using Rich Features

Collective Matrix Factorization of Predictors, Neighborhood and Targets for Semi-supervised Classification

Forward Classification on Data Streams

Multi-Instance Learning from Positive and Unlabeled Bags

Characterizing Temporal Anomalies in Evolving Networks

Inferring Attitude in Online Social Networks Based on Quadratic Correlation

Fast Triangle Core Decomposition for Mining Large Graphs

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