Information Visualization in Data Mining and Knowledge DiscoveryUsama M. Fayyad, Georges G. Grinstein, Andreas Wierse Morgan Kaufmann, 2002 - 407 Seiten Mainstream data mining techniques significantly limit the role of human reasoning and insight. Likewise, in data visualization, the role 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? 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 area's 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. |
Inhalt
Introduction | 1 |
KDD and Model Visualization | 9 |
17 | |
Introduction to Data Visualization 21 | 21 |
A Survey of Visualizations for HighDimensional Data Mining | 47 |
Evaluation of Visualization Systems | 83 |
Visualizing Massive Multivariate TimeSeries Data | 95 |
129 | 102 |
Model Visualization | 223 |
Issues in TimeSeries and Categorical Data Exploration | 229 |
Visualizing the Simple Bayesian Classifier | 237 |
An Adaptive Interface Approach for RealTime | 271 |
Integrating Data Mining and Visualization Processes | 299 |
Visual and Algorithmic | 305 |
Use of the Manifold Concept in Model Visualization | 313 |
Document Mining and Visualization | 345 |
CharacterBased Data Visualization for Data Mining | 103 |
Data Visualization for Decision Support Activities | 177 |
An Integrated | 191 |
Visualizing Data Mining Models | 207 |
Research Issues in the Analysis and Visualization | 355 |
A CaseBuilding Toolkit | 361 |
About the Authors | 391 |
Andere Ausgaben - Alle anzeigen
Information Visualization in Data Mining and Knowledge Discovery Usama M. Fayyad,Georges G. Grinstein,Andreas Wierse Keine Leseprobe verfügbar - 2002 |
Häufige Begriffe und Wortgruppen
applications approach attributes bins Car data set cells circle segment classification clustering color plate components computer science data analysis data exploration data mining algorithms data points data set data values data visualization database decision tree detection dim3 dimensional stacking dimensions Discovery and Data display document domain environment evaluation example Fayyad Figure Flower data set glyphs graph graphical Grinstein Information Visualization integration interaction interface Iris Flower data Isosurface issues ization KDD process Knowledge Discovery machine learning mapping MineSet mining and visualization multidimensional n-dimensional neural network node number of sales parallel coordinates patterns problem Projection Pursuit radviz records representation represents requirements scatter plot scientific visualization selected Self-Organizing Maps space spatial star glyph statistical structure subset summary survey plot task tion understand variables visual data visualiza visualization system visualization techniques Visualizing Data Mining
Verweise auf dieses Buch
Data Mining and Decision Support: Integration and Collaboration Dunja Mladenic Eingeschränkte Leseprobe - 2003 |