Annalisa Appice' Home Page


Research interests:
Analysis and synthesis of algorithms for inductive inference: classification and model trees. Applications include Knowledge Discovery in Databases and Data Mining, (multi-)Relational Data Mining, Map Interpretation and Spatial Data Mining, Data Mining Query Language.

Annalisa Appice
PhD student

Dipartimento di Informatica 
Universitą degli Studi di Bari 
Via Orabona 4 
70126 Bari - Italy  

phone: +39 080 5442296 
fax: +39 080 5443196  
email: appice@di.uniba.it 

 

  

  


Curriculum Vitae et Studiorum

General Info

Nationality: Italian

Education

 

Teaching and Tutoring

Research Projects

Affiliations

 


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Publications

 

Chapters in International Volumes

Papers in International Journals

·         D. Malerba, F. Esposito, F.A. Lisi, & A. Appice.
 Mining Spatial Association Rules in Census Data.
Research in Official Statistics, 2002, 5, 1, 19-44.

Papers in International Collections

International Conferences

International Workshops

National Conferences

National Workshops

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Software

 

KDB2000: A KDD support system

ARES: association rule extractor from spatial data

 SONN: a symbolic object K-NN classifier

 

Last update: June 14th, 2004