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Books > Computing & IT > Applications of computing > Databases > Data mining
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Interactive Knowledge Discovery and Data Mining in Biomedical Informatics - State-of-the-Art and Future Challenges (Paperback, 2014 ed.)
Loot Price: R2,365
Discovery Miles 23 650
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Interactive Knowledge Discovery and Data Mining in Biomedical Informatics - State-of-the-Art and Future Challenges (Paperback, 2014 ed.)
Series: Information Systems and Applications, incl. Internet/Web, and HCI, 8401
Expected to ship within 18 - 22 working days
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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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