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

9783642136719, 9783642136726

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

An Approach for Fast Hierarchical Agglomerative Clustering Using Graphics Processors with CUDA

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

10.1007/978-3-642-13672-6_4 ◽

2010 ◽

pp. 35-42 ◽

Cited By ~ 4

Author(s):

S. A. Arul Shalom ◽

Manoranjan Dash ◽

Minh Tue

Keyword(s):

Graphics Processors ◽

Agglomerative Clustering ◽

Hierarchical Agglomerative Clustering

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Efficient Trade-Off between Speed Processing and Accuracy in Summarizing Data Streams

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

10.1007/978-3-642-13672-6_34 ◽

2010 ◽

pp. 343-353

Author(s):

Nesrine Gabsi ◽

Fabrice Clérot ◽

Georges Hébrail

Keyword(s):

Data Streams ◽

Trade Off

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Hierarchical Web-Page Clustering via In-Page and Cross-Page Link Structures

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

10.1007/978-3-642-13672-6_22 ◽

2010 ◽

pp. 222-229 ◽

Cited By ~ 8

Author(s):

Cindy Xide Lin ◽

Yintao Yu ◽

Jiawei Han ◽

Bing Liu

Keyword(s):

Web Page ◽

Web Page Clustering

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Rule Synthesizing from Multiple Related Databases

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

10.1007/978-3-642-13672-6_20 ◽

2010 ◽

pp. 201-213 ◽

Cited By ~ 3

Author(s):

Dan He ◽

Xindong Wu ◽

Xingquan Zhu

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Subgraph Mining on Directed and Weighted Graphs

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

10.1007/978-3-642-13672-6_14 ◽

2010 ◽

pp. 133-146 ◽

Cited By ~ 7

Author(s):

Stephan Günnemann ◽

Thomas Seidl

Keyword(s):

Weighted Graphs ◽

Subgraph Mining

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Combining Support Vector Machines and the t-statistic for Gene Selection in DNA Microarray Data Analysis

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

10.1007/978-3-642-13672-6_6 ◽

2010 ◽

pp. 55-62

Author(s):

Tao Yang ◽

Vojislave Kecman ◽

Longbing Cao ◽

Chengqi Zhang

Keyword(s):

Data Analysis ◽

Support Vector Machines ◽

Dna Microarray ◽

Microarray Data ◽

Gene Selection ◽

Microarray Data Analysis ◽

Support Vector ◽

Dna Microarray Data ◽

Vector Machines

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A Framework for SQL-Based Mining of Large Graphs on Relational Databases

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

10.1007/978-3-642-13672-6_16 ◽

2010 ◽

pp. 160-167 ◽

Cited By ~ 6

Author(s):

Sriganesh Srihari ◽

Shruti Chandrashekar ◽

Srinivasan Parthasarathy

Keyword(s):

Relational Databases ◽

Large Graphs

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Mining Numbers in Text Using Suffix Arrays and Clustering Based on Dirichlet Process Mixture Models

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

10.1007/978-3-642-13672-6_23 ◽

2010 ◽

pp. 230-237 ◽

Cited By ~ 1

Author(s):

Minoru Yoshida ◽

Issei Sato ◽

Hiroshi Nakagawa ◽

Akira Terada

Keyword(s):

Mixture Models ◽

Dirichlet Process ◽

Dirichlet Process Mixture ◽

Suffix Arrays ◽

Dirichlet Process Mixture Models

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A New Framework for Dissimilarity and Similarity Learning

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

10.1007/978-3-642-13672-6_38 ◽

2010 ◽

pp. 386-397 ◽

Cited By ~ 2

Author(s):

Adam Woźnica ◽

Alexandros Kalousis

Keyword(s):

Similarity Learning ◽

New Framework

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Generating Diverse Ensembles to Counter the Problem of Class Imbalance

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

10.1007/978-3-642-13672-6_46 ◽

2010 ◽

pp. 488-499 ◽

Cited By ~ 15

Author(s):

T. Ryan Hoens ◽

Nitesh V. Chawla

Keyword(s):

Class Imbalance

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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

An Approach for Fast Hierarchical Agglomerative Clustering Using Graphics Processors with CUDA

Efficient Trade-Off between Speed Processing and Accuracy in Summarizing Data Streams

Hierarchical Web-Page Clustering via In-Page and Cross-Page Link Structures

Rule Synthesizing from Multiple Related Databases

Subgraph Mining on Directed and Weighted Graphs

Combining Support Vector Machines and the t-statistic for Gene Selection in DNA Microarray Data Analysis

A Framework for SQL-Based Mining of Large Graphs on Relational Databases

Mining Numbers in Text Using Suffix Arrays and Clustering Based on Dirichlet Process Mixture Models

A New Framework for Dissimilarity and Similarity Learning

Generating Diverse Ensembles to Counter the Problem of Class Imbalance

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