Information Visualization in Data Mining and Knowledge Discovery.pdf

Information Visualization in Data Mining and Knowledge Discovery

Andreas Wierse

Mainstream data mining techniques significantly limit the role of human reasoning and insight. Likewise, in data visualization, the rote of computational analysis is relatively small. The power demonstrated individually by these approaches to knowledge discovery suggests that somehow uniting the two could lead to increased efficiency and more valuable results. But is this true ? How might it be achieved ? And what are the consequences for data-dependent enterprises ? Information Visualization in Data Mining and Knowledge Discovery is the first book to ask and answer these thought-provoking questions. It is also the first book to explore the fertile ground of uniting data mining and data visualization principles in a new set of knowledge discovery techniques. Leading researchers from the fields of data mining, data visualization, and statistics present findings organized around topics introduced in two recent international knowledge discovery and data mining workshops. Collected and edited by three of the areas most influential figures, these chapters introduce the concepts and components of visualization, detail current efforts to include visualization and user interaction in data mining, and explore the potential for further synthesis of data mining algorithms and data visualization techniques. This incisive, groundbreaking research is sure to wield a strong influence in subsequent efforts in both academic and corporate settings.

Knowledge Discovery and Data Mining (KDD) is an interdisciplinary area focusing upon methodologies for extracting useful knowledge from data. The ongoing rapid growth of online data due to the Internet and the widespread use of databases have created an immense need for KDD methodologies. The challenge of extracting knowledge from data draws upon research in statistics, databases, pattern

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9781558606890 ISBN
Information Visualization in Data Mining and Knowledge Discovery.pdf

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Notes actuelles

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Sofya Voigtuh

Feb 15, 2006 ... and Wierse, A.: Information Visualization in Data Mining and Knowledge Discovery, Morgan Kaufmann, 2001. From InfoVis:Wiki. Jump to: ... Data Mining and Knowledge Discovery journal (now published by Springer). ... of information visualization and its application (Palgrave MacMillan Journals).

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Mattio Müllers

03/03/2010 · Interactive information visualization tools provide researchers with remarkable capabilities to support discovery. By combining powerful data mining methods with user-controlled interfaces, users Data Mining and Knowledge Discovery - Article Diary

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Noels Schulzen

Knowledge Discovery and Data Mining is a very dynamic research and ... extraction, information discovery, information harvesting, data archeology, and data ... visualization of epidemiological pathology data (Shalvi & DeClaris, 2001) and ...

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Jason Leghmann

Mar 3, 2010 ... Information Visualization for Knowledge Discovery Ben Shneiderman ... By combining powerful data mining methods with user-controlled ...

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Jessica Kolhmann

Knowledge Discovery and Data Mining (KDD) is an interdisciplinary area focusing upon methodologies for extracting useful knowledge from data. The ongoing rapid growth of online data due to the Internet and the widespread use of databases have created an immense need for KDD methodologies. The challenge of extracting knowledge from data draws upon research in statistics, databases, pattern Inventing Discovery Tools: Combining Information ...