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Author: Admin | 2025-04-28
Scalable mining algorithms • Toolkits: neural network algorithms, statistical methods, data preparation, and data visualization tools • Tight integration with IBM's DB2 relational database system Data Mining: Concepts and TechniquesExamples of Data Mining Systems (2) • SGI MineSet • Multiple data mining algorithms and advanced statistics • Advanced visualization tools • Clementine (SPSS) • An integrated data mining development environment for end-users and developers • Multiple data mining algorithms and visualization tools Data Mining: Concepts and TechniquesApplications and Trends in Data Mining • Data mining applications • Data mining system products and research prototypes • Additional themes on data mining • Social impacts of data mining • Trends in data mining • Summary Data Mining: Concepts and TechniquesVisual Data Mining • Visualization: use of computer graphics to create visual images which aid in the understanding of complex, often massive representations of data • Visual Data Mining: the process of discovering implicit but useful knowledge from large data sets using visualization techniques Human Computer Interfaces Computer Graphics Multimedia Systems High Performance Computing Pattern Recognition Data Mining: Concepts and TechniquesVisualization • Purpose of Visualization • Gain insight into an information space by mapping data onto graphical primitives • Provide qualitative overview of large data sets • Search for patterns, trends, structure, irregularities, relationships among data. • Help find interesting regions and suitable parameters for further quantitative analysis. • Provide a visual proof of computer representations derived Data Mining: Concepts and TechniquesVisual Data Mining & Data Visualization • Integration of visualization and data mining • data visualization • data mining result visualization • data mining process visualization • interactive visual data mining • Data visualization • Data in a database or data warehouse can be viewed • at different levels of abstraction • as different combinations of attributes or dimensions • Data can be presented in various visual forms Data Mining: Concepts and TechniquesData Mining Result Visualization • Presentation of the results or knowledge obtained from data mining in visual forms • Examples • Scatter plots and boxplots (obtained from descriptive data mining) • Decision trees • Association rules • Clusters • Outliers • Generalized rules Data Mining: Concepts and TechniquesBoxplots from Statsoft: Multiple Variable Combinations Data Mining: Concepts and TechniquesVisualization of Data Mining Results in SAS Enterprise Miner:Scatter Plots Data Mining: Concepts and TechniquesVisualization of Association Rules in SGI/MineSet 3.0 Data Mining: Concepts and TechniquesVisualization of aDecision Treein SGI/MineSet 3.0 Data Mining:
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