A Comprehensive Study of iDistance Partitioning Strategies for kNN Queries and High-Dimensional Data Indexing

Big Data - Lecture Notes in Computer Science ◽

10.1007/978-3-642-39467-6_22 ◽

2013 ◽

pp. 238-252 ◽

Author(s):

Michael A. Schuh ◽

Tim Wylie ◽

Juan M. Banda ◽

Rafal A. Angryk

Keyword(s):

High Dimensional Data ◽

High Dimensional ◽

Data Indexing ◽

Comprehensive Study

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On the theory and practice of high-dimensional data indexing with iDistance

2016 IEEE International Conference on Big Data (Big Data) ◽

10.1109/bigdata.2016.7841023 ◽

2016 ◽

Author(s):

Michael A. Schuh ◽

Rafal A. Angryk

Keyword(s):

High Dimensional Data ◽

Theory And Practice ◽

High Dimensional ◽

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Integration of Projected Clusters and Principal Axis Trees for High-Dimensional Data Indexing and Query

Lecture Notes in Computer Science - Intelligent Data Engineering and Automated Learning – IDEAL 2004 ◽

10.1007/978-3-540-28651-6_28 ◽

2004 ◽

pp. 191-196 ◽

Author(s):

Ben Wang ◽

John Q. Gan

Keyword(s):

Principal Axis ◽

High Dimensional Data ◽

High Dimensional ◽

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A High Dimensional Data Indexing Technique Based on Max Gap Space Mapping

Journal of Software ◽

10.1360/jos181419 ◽

2007 ◽

Vol 18 (4) ◽

pp. 1419

Author(s):

Guo-Ren WANG

Keyword(s):

High Dimensional Data ◽

Space Mapping ◽

High Dimensional ◽

Data Indexing ◽

Indexing Technique

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SC-Tree: An Efficient Structure for High-Dimensional Data Indexing

Flexible and Efficient Information Handling - Lecture Notes in Computer Science ◽

10.1007/11788911_14 ◽

2006 ◽

pp. 164-176

Author(s):

Ben Wang ◽

John Q. Gan

Keyword(s):

High Dimensional Data ◽

High Dimensional ◽

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A Comprehensive Study of Challenges and Approaches for Clustering High Dimensional Data

International Journal of Computer Applications ◽

10.5120/15995-4844 ◽

2014 ◽

Vol 92 (4) ◽

pp. 7-10 ◽

Author(s):

Neelam Singh ◽

Neha Garg ◽

Janmejay Pant

Keyword(s):

High Dimensional Data ◽

High Dimensional ◽

Comprehensive Study

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An Incremental Updating Method for Clustering-Based High-Dimensional Data Indexing

Computational Intelligence and Security - Lecture Notes in Computer Science ◽

10.1007/11596448_73 ◽

2005 ◽

pp. 495-502

Author(s):

Ben Wang ◽

John Q. Gan

Keyword(s):

High Dimensional Data ◽

High Dimensional ◽

Incremental Updating ◽

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Large Sample Covariance Matrices and High-Dimensional Data Analysis

10.1017/cbo9781107588080 ◽

2015 ◽

Author(s):

Jianfeng Yao ◽

Shurong Zheng ◽

Zhidong Bai

Keyword(s):

Data Analysis ◽

High Dimensional Data ◽

Covariance Matrices ◽

High Dimensional ◽

Large Sample ◽

Sample Covariance Matrices ◽

Sample Covariance ◽

High Dimensional Data Analysis

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Fractal-Based Methods as a Technique for Estimating the Intrinsic Dimensionality of High-Dimensional Data: A Survey

Informatica ◽

10.15388/informatica.2016.84 ◽

2016 ◽

Vol 27 (2) ◽

pp. 257-281 ◽

Author(s):

Rasa Karbauskaitė ◽

Gintautas Dzemyda

Keyword(s):

High Dimensional Data ◽

High Dimensional ◽

Intrinsic Dimensionality

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A Fast Clustering Algorithm for Large-scale and High Dimensional Data

ACTA AUTOMATICA SINICA ◽

10.3724/sp.j.1004.2009.00859 ◽

2009 ◽

Vol 35 (7) ◽

pp. 859-866

Author(s):

Ming LIU ◽

Xiao-Long WANG ◽

Yuan-Chao LIU

Keyword(s):

Large Scale ◽

Clustering Algorithm ◽

High Dimensional Data ◽

High Dimensional

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Improved negative selection algorithm for network anomaly detection on high-dimensional data

Journal of Computer Applications ◽

10.3724/sp.j.1087.2009.00805 ◽

2009 ◽

Vol 29 (3) ◽

pp. 805-807 ◽

Author(s):

Wen-zhong GUO ◽

Guo-long CHEN ◽

Qing-liang CHEN

Keyword(s):

Anomaly Detection ◽

Negative Selection ◽

High Dimensional Data ◽

High Dimensional ◽

Selection Algorithm ◽

Negative Selection Algorithm ◽

Network Anomaly Detection

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