Data Mining and Reverse Engineering

One Invited Talks.- 1 OLAP mining: an integration of OLAP with data mining.- 2 Semantic approaches to structuring and querying web sites.- 3 Text mining: natural language techniques for text mining applications.- Two Data Mining.- 4 Improvements in supervised BRAINNE: a method for symbolic data mining using neural networks.- 5 CE: the classifier-estimator framework for data mining.- 6 An associative search method based on symbolic filtering and semantic ordering for database systems.- Three Reverse Engineering.- 7 Contribution to the reverse engineering of OO applications: methodology and case study.- 8 Searching for semantics in COBOL legacy applications.- 9 The reengineering of relational databases based on key and data correlations.- Four Query Languages.- 10 A formalization of ODMG queries.- 11 A metaphorical and visual language for querying an existing relational database.- Five Web Environment.- 12 OFAHIR: ‘On-the-Fly’ automatic authoring of hypertexts for information retrieval.- 13 TopiCA: a semantic framework for landscaping the information space in federated digital libraries.- 14 Incorporating generalized quantifiers into description logic for representing data source contents.- Six Constraints.- 15 Managing constraint violations in administrative information systems.- 16 Automatic generation of update rules to enforce consistency constraints in design databases.- Seven Database integration.- 17 Discovering and reconciling semantic conflicts: a data mining perspective.- 18 Experience with a combined approach to attribute-matching across heterogeneous databases.- Eight Spatio-Temporal Databases.- 19 Design patterns for spatio-temporal processes.- 20 Modeling and implementation of temporal aspects of objects in commercial information systems.- Index ofcontributors.- Keyword index.