Data-Driven Approaches

The goal of visual data mining methods is the integration of the users and their visual cognitive capabilities into the KDD process. Besides an easier insight into complex data worlds, this approach allows a dynamic rearrangement of the data driven by user interactions and leads to straightforward data analysis and pattern recognition. The most important advantages of visual data mining are  [c.475]

An important approach to the graphic representation of molecules is the use of a connection table. A connection table is a data base that stores the available bond types and hybridizations for individual atoms. Using the chemical formula and the connection table, molecular stmctures may be generated through interactive graphics in a menu-driven environment (31—33) or by using a linear input of code words (34,35). The connection table approach may be carried to the next step, computer-aided molecular design (CAMD) (36).  [c.63]

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Chemoinformatics  -> Data-Driven Approaches