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This paper presents a text categorization system, capable of analyzing HTML/text documents collected from the Web. The system is a component of a more extensive intelligent agent for adaptive information filtering on the Web. It is based on a hybrid case-based architecture, where two multilayer perceptrons are integrated into a case-based reasoner. An empirical evaluation of the system was performed by means of a confidence interval technique. The experimental results obtained are encouraging and support the choice of a hybrid case-based approach to text categorization.

One of the main problems in software testing is the development of a suitable set of test cases so that the effectiveness of the test is maximised with a minimum number of test cases. A lot of testing techniques are now available for developing test cases. However, some of them are misused, others are never used and only a few are applied again and again. When developers have to decide what testing techniques(s) they should use in a project, they have little (if any) experiential information about the available testing techniques, their usefulness and, in general, how suited they are to the project. This paper presents the results of developing a characterization scheme for test technique selection. When instantiated for different techniques, the scheme should provide developers with enough information for choosing the best suited to their project. Thus, their decisions would be based on sound knowledge of the techniques, instead of perceptions, suppositions and assumptions.

This chapter examines the relationship between financial performance, regulatory reform, and management of community banks. The consequences of the Sarbanes–Oxley Act (SOX) and Dodd–Frank Act (DFA) regulations are observed. Risk management responses to regulatory reforms, as observed in the loan loss provision, are examined in relation to these reforms. We also observe the consequences of compliance costs on product offerings and competitive condition. Empirical methods and results provided here show that sustained operations for community banks will require a commitment to developing management expertise that observes the consequences of regulatory objectives at the firm level.