Biomedical text mining: State-of-the-art, open problems and future challenges

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8401, Issue , 2014, Pages 271-300

  Holzinger, Andreas ^a   Schantl, Johannes ^a   Schroettner, Miriam ^a   Seifert, Christin ^b   Verspoor, Karin ^c,d  

^a MEDICAL UNIVERSITY OF GRAZ   (Austria)

^b UNIVERSITY OF PASSAU   (Germany)

^c UNIVERSITY OF MELBOURNE   (Australia)

^d UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Big data; hLDA; Knowledge discovery; LDA; LSA; Natural language processing; PCA; PLSA; Statistical models; SVM; Text classification; Text mining; Unstructured information

Indexed keywords

BIG DATA; CLASSIFICATION (OF INFORMATION); CLINICAL RESEARCH; DATA HANDLING; DECISION MAKING; LEARNING ALGORITHMS; MEDICAL IMAGING; NATURAL LANGUAGE PROCESSING SYSTEMS; PRINCIPAL COMPONENT ANALYSIS; SEMANTICS; STATISTICS; SUPPORT VECTOR MACHINES; TEXT PROCESSING;

HLDA; NATURAL LANGUAGE PROCESSING; PLSA; TEXT CLASSIFICATION; TEXT MINING; UNSTRUCTURED INFORMATION;

DATA MINING;

EID: 84905218519     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-662-43968-5_16     Document Type: Article

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