Review of data mining clustering techniques to analyze data with high dimensionality as applied in gene expression data (June 2008)

5th International Conference Service Systems and Service Management - Exploring Service Dynamics with Science and Innovative Technology, ICSSSM'08

Volumn , Issue , 2008, Pages

  Aouf, M ^a   Lyanage, L ^a   Hansen, S ^a  

^a UNIVERSITY OF WESTERN SYDNEY   (Australia)

Author keywords

Diagnosis; Gene expression dataset; Knowledge discovery; Subspace clustering

Indexed keywords

BIOACTIVITY; BLOOD VESSELS; CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; DECISION SUPPORT SYSTEMS; DNA; FLOW OF SOLIDS; GENE EXPRESSION; INFORMATION ANALYSIS; INFORMATION MANAGEMENT; MINING; NUCLEIC ACIDS; ONCOLOGY; ORGANIC ACIDS; SEARCH ENGINES;

BIO-INFORMATICS; CELLULAR SIGNALLING; CLUSTERING TECHNIQUES; CURRENT STATUS; DEOXYRIBONUCLEIC ACID; DIAGNOSIS; EARLY STAGES; GENE EXPRESSION DATA; GENE EXPRESSION DATASET; HIGH DIMENSIONAL DATASETS; HIGH DIMENSIONALITY; INFORMATION INTEGRATION SYSTEMS; INNOVATIVE TECHNOLOGIES; INTERNATIONAL CONFERENCES; KNOWLEDGE DISCOVERY; PROTEIN MOLECULES; SERVICE MANAGEMENT; SERVICE SYSTEMS; STATISTICAL MODELLING; SUBSPACE CLUSTERING; TEXT-MINING; TUMOUR DIAGNOSIS; TUMOURS;

TUMORS;

EID: 52649164556     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSSSM.2008.4598505     Document Type: Conference Paper

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