ISBN: 9783662439678 - interactive knowledge discovery and data mining in biomedical informatics: state-of-the-art and future challenges (information systems and applications, incl. internet/web, and hci, band 8401) (17 Ergebnisse)

Softcover. Zustand: As New. Leichte Kratzer / Abnutzungen / Druckstellen. 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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Zustand: New. In English.

Zustand: New. pp. 380.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 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.…

Taschenbuch. Zustand: Neu. Interactive Knowledge Discovery and Data Mining in Biomedical Informatics | State-of-the-Art and Future Challenges | Andreas Holzinger (u. a.) | Taschenbuch | xx | Englisch | 2014 | Springer | EAN 9783662439678 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

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Zustand: gut. 2014. Interactive Knowledge Discovery and Data Mining in Biomedical Informatics In deutscher Sprache. pages.

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PF. Zustand: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 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. 380 pp. Englisch.…

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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Focuses on hot topics from interactive knowledge discovery and data mining in biomedical informatics Each paper describes the state-of-the-art and focuses on open problems and future challenges in order to provide a research agenda to stimulate fu.…

Zustand: New. PRINT ON DEMAND pp. 380.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 ofSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 380 pp. Englisch.…