Lossless Visual Knowledge Discovery in High Dimensional Data with Elliptic Paired Coordinates

2020 24th International Conference Information Visualisation (IV) ◽

10.1109/iv51561.2020.00053 ◽

2020 ◽

Author(s):

Rose McDonald ◽

Boris Kovalerchuk

Keyword(s):

Knowledge Discovery ◽

High Dimensional Data ◽

High Dimensional ◽

Visual Knowledge

Download Full-text

Knowledge discovery in high-dimensional data: case studies and a user survey for the rank-by-feature framework

IEEE Transactions on Visualization and Computer Graphics ◽

10.1109/tvcg.2006.50 ◽

2006 ◽

Vol 12 (3) ◽

pp. 311-322 ◽

Author(s):

Jinwook Seo ◽

B. Shneiderman

Keyword(s):

Knowledge Discovery ◽

Case Studies ◽

High Dimensional Data ◽

High Dimensional ◽

Download Full-text

Knowledge discovery in high dimensional data

10.12681/eadd/29920 ◽

2013 ◽

Author(s):

Sotirios Tasouils

Keyword(s):

Knowledge Discovery ◽

High Dimensional Data ◽

High Dimensional

Download Full-text

Visualization and knowledge discovery for high dimensional data

Proceedings Second International Workshop on User Interfaces in Data Intensive Systems. UIDIS 2001 ◽

10.1109/uidis.2001.929921 ◽

2002 ◽

Author(s):

A. Inselberg

Keyword(s):

Knowledge Discovery ◽

High Dimensional Data ◽

High Dimensional

Download Full-text

Knowledge Discovery from Complex High Dimensional Data

Solving Large Scale Learning Tasks. Challenges and Algorithms - Lecture Notes in Computer Science ◽

10.1007/978-3-319-41706-6_7 ◽

2016 ◽

pp. 148-167 ◽

Author(s):

Sangkyun Lee ◽

Andreas Holzinger

Keyword(s):

Knowledge Discovery ◽

High Dimensional Data ◽

High Dimensional

Download Full-text

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

Download Full-text

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

Download Full-text

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

Download Full-text

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

Download Full-text

An Advanced Mining Services in Predicting and Ranking User Vitality across Dynamic and High Dimensional Data Sets

SSRN Electronic Journal ◽

10.2139/ssrn.3395242 ◽

2019 ◽

Author(s):

Ch. Durga Bhavani ◽

Dr. A. Daveedu Raju ◽

Dr. V. Surya Narayana

Keyword(s):

High Dimensional Data ◽

High Dimensional ◽

Download Full-text

Outlier Detection in High Dimensional Data Based on the Anti-Hub and Regression Technique

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2017.8219 ◽

2017 ◽

Vol V (VIII) ◽

pp. 1543-1551

Author(s):

Golla Hemalatha

Keyword(s):

Outlier Detection ◽

High Dimensional Data ◽

Regression Technique ◽

High Dimensional

Download Full-text