This book publishes papers from the Seventh International Conference on Data Mining and Information Systems. The book brings together state-of-the-art research results and practical development experiences from researchers and application developers from many different areas. The book covers topics as diverse as: Data Mining Themes such as Text Mining; Web Content, Structure and Usage Mining; Clustering Technologies; Categorisation Methods; Link Analysis; Data Preparation; Applications in Business, Industry and Government; Customer Relationship Management; Competitive Intelligence; Applications in Science and Engineering; Mining Geospatial Data; Business Process Management (BPM); Data Mining Inspired by Nature; National Security, and also Management Information Engineering such as Enterprise Information Systems; Applications of GIS and GPS; Applications of MIS; Remote Sensing; Information Systems Strategies and Methodologies; Hydro and Geo Informatics, Transportation; Bio Informatics; Biodiversity Information Systems.In the first realization, document-classes are completed with properties describing the main formatting aspects and the structure of a ... use: the user writes a traditional MS Word document, hides ontology queries inside specific fields (the aquot;Quoteaquot; field), saves the document in ... 6 Conclusions It is our opinion that Knowledge Management must go far beyond known aspects like choice of proper knowledgeanbsp;...
|Title||:||Data mining VII|
|Author||:||A. Zanasi, C. A. Brebbia, Nelson F. F. Ebecken|
|Publisher||:||Wit Pr/Computational Mechanics - 2006|