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

TOTAL DOCUMENTS

(FIVE YEARS 0)

H-INDEX

(FIVE YEARS 0)

Published By Springer Berlin Heidelberg

9783642403187, 9783642403194

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Identifying Dominant Economic Sectors and Stock Markets: A Social Network Mining Approach

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

10.1007/978-3-642-40319-4_6 ◽

2013 ◽

pp. 59-70

Author(s):

Ram Babu Roy ◽

Uttam Kumar Sarkar

Keyword(s):

Social Network ◽

Stock Markets ◽

Economic Sectors ◽

Network Mining ◽

Social Network Mining

Download Full-text

FTCRank: Ranking Components for Building Highly Reliable Cloud Applications

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

10.1007/978-3-642-40319-4_45 ◽

2013 ◽

pp. 522-532

Author(s):

Hanze Xu ◽

Yanan Xie ◽

Dinglong Duan ◽

Liang Chen ◽

Jian Wu

Keyword(s):

Cloud Applications

Download Full-text

A Semantic-Based Dual Caching System for Nomadic Web Service

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

10.1007/978-3-642-40319-4_44 ◽

2013 ◽

pp. 511-521

Author(s):

Panpan Han ◽

Liang Chen ◽

Jian Wu

Keyword(s):

Web Service

Download Full-text

Cost-Based Quality Measures in Subgroup Discovery

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

10.1007/978-3-642-40319-4_35 ◽

2013 ◽

pp. 404-415 ◽

Cited By ~ 2

Author(s):

Rob M. Konijn ◽

Wouter Duivesteijn ◽

Marvin Meeng ◽

Arno Knobbe

Keyword(s):

Quality Measures ◽

Subgroup Discovery

Download Full-text

Evaluation of Position-Constrained Association-Rule-Based Classification for Tree-Structured Data

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

10.1007/978-3-642-40319-4_33 ◽

2013 ◽

pp. 379-391

Author(s):

Dang Bach Bui ◽

Fedja Hadzic ◽

Michael Hecker

Keyword(s):

Association Rule ◽

Structured Data ◽

Rule Based

Download Full-text

Effective Evaluation Measures for Subspace Clustering of Data Streams

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

10.1007/978-3-642-40319-4_30 ◽

2013 ◽

pp. 342-353 ◽

Cited By ~ 1

Author(s):

Marwan Hassani ◽

Yunsu Kim ◽

Seungjin Choi ◽

Thomas Seidl

Keyword(s):

Data Streams ◽

Subspace Clustering ◽

Evaluation Measures ◽

Effective Evaluation

Download Full-text

Ensemble Learning Model for Petroleum Reservoir Characterization: A Case of Feed-Forward Back-Propagation Neural Networks

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

10.1007/978-3-642-40319-4_7 ◽

2013 ◽

pp. 71-82 ◽

Cited By ~ 3

Author(s):

Fatai Anifowose ◽

Jane Labadin ◽

Abdulazeez Abdulraheem

Keyword(s):

Neural Networks ◽

Ensemble Learning ◽

Reservoir Characterization ◽

Back Propagation ◽

Learning Model ◽

Petroleum Reservoir ◽

Feed Forward ◽

Feed Forward Back Propagation ◽

Back Propagation Neural Networks

Download Full-text

Incremental Constrained Clustering: A Decision Theoretic Approach

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

10.1007/978-3-642-40319-4_41 ◽

2013 ◽

pp. 475-486 ◽

Cited By ~ 2

Author(s):

Swapna Raj Prabakara Raj ◽

Balaraman Ravindran

Keyword(s):

Theoretic Approach ◽

Constrained Clustering ◽

Decision Theoretic Approach

Download Full-text

On the Optimality of Subsets of Features Selected by Heuristic and Hyper-heuristic Approaches

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

10.1007/978-3-642-40319-4_38 ◽

2013 ◽

pp. 440-451

Author(s):

Kourosh Neshatian ◽

Lucianne Varn

Keyword(s):

Heuristic Approaches

Download Full-text

A Novel Proposal for Outlier Detection in High Dimensional Space

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

10.1007/978-3-642-40319-4_27 ◽

2013 ◽

pp. 307-318 ◽

Cited By ~ 1

Author(s):

Zhana Bao ◽

Wataru Kameyama

Keyword(s):

Outlier Detection ◽

Dimensional Space ◽

High Dimensional ◽

High Dimensional Space

Download Full-text

Lecture Notes in Computer Science - Trends and Applications in Knowledge Discovery and Data MiningLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Identifying Dominant Economic Sectors and Stock Markets: A Social Network Mining Approach

FTCRank: Ranking Components for Building Highly Reliable Cloud Applications

A Semantic-Based Dual Caching System for Nomadic Web Service

Cost-Based Quality Measures in Subgroup Discovery

Evaluation of Position-Constrained Association-Rule-Based Classification for Tree-Structured Data

Effective Evaluation Measures for Subspace Clustering of Data Streams

Ensemble Learning Model for Petroleum Reservoir Characterization: A Case of Feed-Forward Back-Propagation Neural Networks

Incremental Constrained Clustering: A Decision Theoretic Approach

On the Optimality of Subsets of Features Selected by Heuristic and Hyper-heuristic Approaches

A Novel Proposal for Outlier Detection in High Dimensional Space

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