Chapter 12 References
·
Andrienko G., Andrienko N. Interactive Maps for Visual Data
Exploration. International Journal of Geographical Information Science 13(5),
355-374, 1999.
·
Andrienko G., Andrienko N., Savinov A. Choropleth Maps:
Classification revisited. Proceedings ICA 2001, Beijing, China, Vol. 2,
1209-1219.
·
Andrienko N., Andrienko G., Savinov A., Voss H., Wettschereck D.
Exploratory Analysis of Spatial Data Using Interactive Maps and Data Mining.
Cartography and Geographic Information Science 28(3), July 2001, 151-165.
·
Andrienko N., Andrienko G., Savinov A., Wettschereck D. Descartes
and Kepler for Spatial Data Mining. ERCIM News, No. 40,
January 2000, 44–45.
·
Chazelle B., Drysdale R.L., Lee D.T.
Computing the largest empty rectangle. SIAM J. Comput., 15:300-315, 1986.
·
Edmonds J.,
Gryz J., Liang
D.,
Miller R.J.
Mining for Empty Rectangles in Large Data Sets. Proceedings of the 8th
International Conference on Database Theory (ICDT), London, UK, January 2001,
174-188.
·
Ester M., Frommelt A., Kriegel H.P., Sander J. Spatial Data Mining:
Database Primitives, Algorithms and Efficient DBMS Support. Data Mining and
Knowledge Discovery 4(2/3), 2000, 193-216.
·
European IST SPIN! project web site. http://www.ccg.leeds.ac.uk/spin/
·
JBoss Application Server web site. http://www.jboss.org.
·
Klösgen W. Explora: A Multipattern and Multistrategy Discovery
Assistant. Advances in Knowledge Discovery and Data Mining, eds. U. Fayyad, G.
Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, Cambridge, MA: MIT Press,
249–271, 1996.
·
Klösgen W. Subgroup Discovery. In Handbook of Data Mining and
Knowledge Discovery (Chapter 16.3), Klösgen, W., Zytkow, J., eds. Oxford
University Press, New York, 2002.
·
Klösgen W. Visualization and Adaptivity in the Statistics
Interpreter EXPLORA. Proceedings of the 1991 Workshop on KDD, ed. Piatetsky-Shapiro,
G., 25-34, 1991.
·
Klösgen W., May M. Spatial Subgroup Mining Integrated in an
Object-Relational Spatial Database. PKDD 2002, Helsinki, Finland, August 2002,
275-286.
·
Klösgen W., Zytkow J. (eds.) Handbook of Data Mining and Knowledge
Discovery. Oxford University Press, 2002.
·
Knobbe A.J., de Haas M., Siebes A. Propositionalisation and
Aggregates. Proc. PKDD 2001, eds. De
Raedt, L., Siebes, A., Berlin:Springer, 277-288, 2001.
·
Koperski K., Adhikary J., Han J. Spatial Data Mining,
Progress and Challenges. Technical Report, Vancouver, Canada, 1996.
·
Koperski K., Han J. GeoMiner: A System Prototype for Spatial
Mining. Proceedings ACM-SIGMOD, Arizona, 1997, 553-556.
·
Krogel M., Wrobel S. Transformation-Based Learning Using
Multirelational Aggregation. Proc. ILP 2001, eds. Rouveirol, C., Sebag, M.,
Springer, 142-155, 2001.
·
Ku L.-P., Liu B., Hsu W. Discovering Large Empty Maximal
Hyper-rectangles in Multi-dimensional Space. Technical Report, Department of
Information Systems and Computer Science (DCOMP), National University of
Singapore, 1997.
·
Kuper G.M., Libkin L., Paredaens J. (eds.) Constraint Databases.
Berlin:Springer, 2000.
·
Libkin L. Expressive Power of SQL. Proc. of the 8th International
Conference on Database Theory (ICDT01), eds. Bussche, J, Vianu,
V., Berlin:Springer, 1-21, 2001.
·
Lisi F.A., Malerba D. SPADA: A Spatial Association Discovery
System. In A. Zanasi, C.A. Brebbia, N.F.F. Ebecken and P. Melli (Eds.), Data
Mining III, Series: Management Information Systems, Vol. 6, 157-166, WIT
Press, 2002.
·
Liu B., Ku L.-P., Hsu W. Discovering Interesting Holes in Data.
Proceedings of Fifteenth International Joint Conference on Artificial
Intelligence (IJCAI-97), pp. 930-935, August 23-29, 1997, Nagoya, Japan.
·
Liu B., Wang K., Mun L.-F., Qi X.-Z. Using Decision Tree Induction
for Discovering Holes in Data. Pacific Rim International Conference on
Artificial Intelligence (PRICAI-98), 182-193, 1998.
·
May M. Spatial Knowledge Discovery: The SPIN! System. Fullerton,
K. (ed.) Proceedings of the 6th EC-GIS Workshop, Lyon, 28-30th June, European
Commission, JRC, Ispra, 2000.
·
May M., Savinov A. An integrated platform for spatial data mining
and interactive visual analysis. Data Mining
2002, Third International Conference on Data Mining Methods and Databases for
Engineering, Finance and Other Fields, 25-27 September 2002, Bologna, Italy,
51-60.
·
Orlowski M. A New Algorithm for the Largest Empty Rectangle
Problem. Algorithmica, 5(1):65-73, 1990.
·
Savinov A. Application of multi-dimensional fuzzy analysis to
decision making. In Advances in Soft Computing — Engineering Design and
Manufacturing, R. Roy, T. Furuhashi and P.K. Chawdhry, eds.
Springer-Verlag, London, 1999b.
·
Savinov A. Mining possibilistic set-valued rules by generating
prime disjunctions. Proc. 3rd European Conference on Principles and Practice of
Knowledge Discovery in Databases — PKDD'99, Prague, Czech Republic, September
15-18, 1999a, 536-541.
·
Savinov A. Mining Interesting Possibilistic Set-Valued Rules. In
Fuzzy If-Then Rules in Computational Intelligence: Theory and Applications, Da
Ruan and Etienne E. Kerre, eds. Kluwer, 2000a, 107-133.
·
Savinov A. An algorithm for induction of possibilistic set-valued
rules by finding prime disjunctions. In Soft computing in industrial
applications, Suzuki, Y., Ovaska, S.J., Furuhashi, T., Roy, R., Dote, Y., eds.
Springer-Verlag, London, 2000b.
·
Savinov A. Mining Spatial Rules by Finding Empty Intervals in
Data. Proc. of the 7th International Conference on Knowledge-Based Intelligent
Information & Engineering Systems (KES’03), 3-5 September 2003, Oxford, UK,
1058-1063.
·
Wrobel S. An Algorithm for Multi-relational Discovery of
Subgroups. Proc. of First PKDD, eds. Komorowski, J., Zytkow, J.,
Berlin:Springer, 78-87, 1997.