Interactive Knowledge Discovery and Data Mining in Biomedical Informatics

Name: Interactive Knowledge Discovery and Data Mining in Biomedical Informatics
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783662439678
Price: 276.66 RON
Availability: InStock

State-of-the-Art and Future Challenges

Autor: Andreas Holzinger, Igor Jurisica

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Legare: Carte broșată

Editura: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Disponibilitate: În depozitul extern

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One of the grand challenges in our digital world are the large, complex and often weakly structured...

Informații despre carte

Autor

Andreas Holzinger, Igor Jurisica

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2014

Pagini

357

EAN

9783662439678

ISBN

3662439670

Enbook ID

02741068

Editura

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Greutate

5737

Dimensiuni

155 x 235 x 21

Descriere completă

One of the grand challenges in our digital world are the large, complex and often weakly structured data sets, and massive amounts of unstructured information. This big data challenge is most evident in biomedical informatics: the trend towards precision medicine has resulted in an explosion in the amount of generated biomedical data sets. Despite the fact that human experts are very good at pattern recognition in dimensions of <= 3; most of the data is high-dimensional, which makes manual analysis often impossible and neither the medical doctor nor the biomedical researcher can memorize all these facts. A synergistic combination of methodologies and approaches of two fields offer ideal conditions towards unraveling these problems: Human Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD), with the goal of supporting human capabilities with machine learning.§§This state-of-the-art survey is an output of the HCI-KDD expert network and features 19 carefully selected and reviewed papers related to seven hot and promising research areas: Area 1: Data Integration, Data Pre-processing and Data Mapping; Area 2: Data Mining Algorithms; Area 3: Graph-based Data Mining; Area 4: Entropy-Based Data Mining; Area 5: Topological Data Mining; Area 6 Data Visualization and Area 7: Privacy, Data Protection, Safety and Security.§

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Interactive Knowledge Discovery and Data Mining in Biomedical Informatics

State-of-the-Art and Future Challenges

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