Capabilities of outlier detection schemes in large datasets, framework and methodologies

Author： Tang Jian   Chen Zhixiang   Fu Ada   Cheung David  

Publisher： Springer Publishing Company

ISSN： 0219-1377

Source： Knowledge and Information Systems, Vol.11, Iss.1, 2007-01, pp. : 45-84

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Related content

A Survey of Outlier Detection Methodologies

By Hodge Victoria   Austin Jim  

Artificial Intelligence Review, Vol. 22, Iss. 2, 2004-10 ,pp. : 85-126

Springer Publishing Company

Access to resources Recommend Favorite

RainForest—A Framework for Fast Decision Tree Construction of Large Datasets

By Gehrke Johannes   Ramakrishnan Raghu   Ganti Venkatesh  

Data Mining and Knowledge Discovery, Vol. 4, Iss. 2-3, 2000-07 ,pp. : 127-162

Springer Publishing Company

Access to resources Recommend Favorite

A rough set approach to outlier detection

By Jiang Feng  

International Journal of General Systems, Vol. 37, Iss. 5, 2008-10 ,pp. : 519-536

Taylor & Francis Ltd

Access to resources Recommend Favorite

Outlier detection and evaluation by network flow

By Liu Ying   Sprague Alan P.  

International Journal of Computer Applications in Technology, Vol. 33, Iss. 2-3, 2008-12 ,pp. : 237-246

Inderscience Publishers

Access to resources Recommend Favorite

Multi-level relationship outlier detection

By Jiang Qiang  

International Journal of Business Intelligence and Data Mining, Vol. 7, Iss. 4, 2012-01 ,pp. : 253-273

Inderscience Publishers

Access to resources Recommend Favorite