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

9783642136566, 9783642136573

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A Set Correlation Model for Partitional Clustering

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

10.1007/978-3-642-13657-3_4 ◽

2010 ◽

pp. 4-15 ◽

Cited By ~ 3

Author(s):

Nguyen Xuan Vinh ◽

Michael E. Houle

Keyword(s):

Correlation Model ◽

Partitional Clustering ◽

Set Correlation

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TWave: High-Order Analysis of Spatiotemporal Data

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

10.1007/978-3-642-13657-3_28 ◽

2010 ◽

pp. 246-253

Author(s):

Michael Barnathan ◽

Vasileios Megalooikonomou ◽

Christos Faloutsos ◽

Feroze B. Mohamed ◽

Scott Faro

Keyword(s):

High Order ◽

Spatiotemporal Data ◽

Order Analysis

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Hiding Emerging Patterns with Local Recoding Generalization

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

10.1007/978-3-642-13657-3_19 ◽

2010 ◽

pp. 158-170 ◽

Cited By ~ 4

Author(s):

Michael W. K. Cheng ◽

Byron Koon Kau Choi ◽

William Kwok Wai Cheung

Keyword(s):

Emerging Patterns

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Empower People with Knowledge: The Next Frontier for Web Search

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

10.1007/978-3-642-13657-3_1 ◽

2010 ◽

pp. 1-1

Author(s):

Wei-Ying Ma

Keyword(s):

Web Search

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Valency Based Weighted Association Rule Mining

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

10.1007/978-3-642-13657-3_31 ◽

2010 ◽

pp. 274-285 ◽

Cited By ~ 13

Author(s):

Yun Sing Koh ◽

Russel Pears ◽

Wai Yeap

Keyword(s):

Association Rule ◽

Association Rule Mining ◽

Rule Mining

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On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some Observations

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

10.1007/978-3-642-13657-3_43 ◽

2010 ◽

pp. 391-402 ◽

Cited By ~ 115

Author(s):

R. Arun ◽

V. Suresh ◽

C. E. Veni Madhavan ◽

M. N. Narasimha Murthy

Keyword(s):

Natural Number ◽

Latent Dirichlet Allocation ◽

Dirichlet Allocation

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UNN: A Neural Network for Uncertain Data Classification

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

10.1007/978-3-642-13657-3_48 ◽

2010 ◽

pp. 449-460 ◽

Cited By ~ 9

Author(s):

Jiaqi Ge ◽

Yuni Xia ◽

Chandima Nadungodage

Keyword(s):

Neural Network ◽

Uncertain Data ◽

Data Classification

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Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets

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

10.1007/978-3-642-13657-3_25 ◽

2010 ◽

pp. 216-227 ◽

Cited By ~ 2

Author(s):

Vadeerat Rinsurongkawong ◽

Christoph F. Eick

Keyword(s):

Spatial Datasets

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SkyDist: Data Mining on Skyline Objects

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

10.1007/978-3-642-13657-3_49 ◽

2010 ◽

pp. 461-470 ◽

Cited By ~ 1

Author(s):

Christian Böhm ◽

Annahita Oswald ◽

Claudia Plant ◽

Michael Plavinski ◽

Bianca Wackersreuther

Keyword(s):

Data Mining

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Efficiently Finding the Best Parameter for the Emerging Pattern-Based Classifier PCL

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

10.1007/978-3-642-13657-3_15 ◽

2010 ◽

pp. 121-133 ◽

Cited By ~ 3

Author(s):

Thanh-Son Ngo ◽

Mengling Feng ◽

Guimei Liu ◽

Limsoon Wong

Keyword(s):

Best Parameter ◽

Emerging Pattern

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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

A Set Correlation Model for Partitional Clustering

TWave: High-Order Analysis of Spatiotemporal Data

Hiding Emerging Patterns with Local Recoding Generalization

Empower People with Knowledge: The Next Frontier for Web Search

Valency Based Weighted Association Rule Mining

On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some Observations

UNN: A Neural Network for Uncertain Data Classification

Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets

SkyDist: Data Mining on Skyline Objects

Efficiently Finding the Best Parameter for the Emerging Pattern-Based Classifier PCL

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