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Challenges at the Interface of Data Analysis, Computer by PDF

ISBN-10: 3642244661

ISBN-13: 9783642244667

Lawsuits of the thirty fourth Annual convention of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21-23, 2010

This quantity presents ways and ideas to difficult difficulties happening on the interface of analysis fields akin to facts research, laptop technological know-how, operations learn, and data. It comprises theoretically orientated contributions in addition to papers from quite a few program components, the place wisdom from diversified learn instructions is required to discover an sufficient research and interpretation of the saw facts that fit optimally the underlying functional events. Beside conventional type examine, the booklet focuses additionally on present pursuits in fields equivalent to the research of community facts, graphs, and social relationships in addition to on statistical musicology.

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Additional info for Challenges at the Interface of Data Analysis, Computer Science, and Optimization (Studies in Classification, Data Analysis, and Knowledge Organization)

Sample text

Senior management of the company did not make any major changes to their operational policies during that 5 year period. They have been maintaining a constant number of employees and were using similar resources each year. The company has been experiencing incrementally increasing profits each year without major management influences. As there were no new competitors in the market and the other competitors had not challenged them, the management had automatically assumed that they were doing pretty well.

2007 11:30pm Compositor Name: JGanesan Optimization Modelling: A Practical Approach 26 whether the model=algorithm provides the necessary in-depth detail required for the study, and whether the model provides the answers required. For an algorithm to be a practical solution method, each iteration should lead to an improved solution, converging to the optimal solution in a finite number of steps. After being satisfied that the model is performing correctly, one then applies data, which has been collected specifically for the problem at hand, to the model to obtain primary (baseline) results.

Initially, the analyst will use the model to carry out a dry run using data that has not necessarily been collected for the specific study, but is representative enough to validate the model’s or algorithm’s behavior. 2007 11:30pm Compositor Name: JGanesan Optimization Modelling: A Practical Approach 26 whether the model=algorithm provides the necessary in-depth detail required for the study, and whether the model provides the answers required. For an algorithm to be a practical solution method, each iteration should lead to an improved solution, converging to the optimal solution in a finite number of steps.

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Challenges at the Interface of Data Analysis, Computer Science, and Optimization (Studies in Classification, Data Analysis, and Knowledge Organization)


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