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Bibliography:
The integration of visualization with databases, data mining, spatial
analysis and geocomputation
Data
Mining: general references and resources
A good
glossary of Data Mining Terminology can be found on the World Wide
Web at: http://www.pilotsw.com/r_and_t/whtpaper/datamine/dmglos.htm
Defining
Data Mining - The Hows and Whys of Data Mining, and How It
Differs From Other Analytical Techniques by Bruce Moxon,
DBMS Online, http://www.dbmsmag.com/9608d53.html.
KDNuggets
Directory: Data Mining and Knowledge Discovery Internet Newsletter.
http://www.kdnuggets.com/.
Data
Mining and Knowledge Discovery Journal Web Site: http://www.research.microsoft.com/datamine/
Product
information on Silicon Graphics Inc.'s MineSet can be found at:
http://www.sgi.com/Products/software/MineSet/products/index.html
Future
Generation Computer Systems, (Special edition on Data Mining
and Knowledge Discovery, 1997, Vol. 13, Nos. 2-3:
- Using
neural networks for data mining, Craven, M. W. and Shavlik, J. W.,
p.211-229.
- Systems
for KDD: From concepts from Practice, Dunkel, B., Soparkar, N.,
Szaro, J. and Uthurusamy R., p.231-242.
- A
comparative study of clustering methods, Zait, M. and Messatfa,
H., p.149-159.
- A
statistical perspective on data mining, Hosking, J. R. M., Pednault,
E. P. D., Sudan, M., p.117-134.
- Data
Mining and KDD: Promise and challenges, Fayyad, U. and Stolorz,
P., p.99-115.
Spatial
Data Mining: examples specifically using spatial data
Ester,
M., Kriegel, H. P. and XU, X. W. (1995). Knowledge Discovery in
Large Spatial Databases ñ Focussing Techniques for Efficient Class
Identification. Lecture Notes in Computer Science, Vol. 951,
pp. 67-82.
The
following papers are available for download from: http://www.cs.sfu.ca/research/groups/DB/sections/publication/smmdb/smmdb.html
Han,
J., Koperski, K. and Stefanovic, N. (1997). GeoMiner: A System
Prototype for Spatial Data Mining, Proc. 1997 ACM-SIGMOD Int'l
Conf. on Management of Data(SIGMOD'97), Tucson, Arizona.
Han,
J. (1999). Data Mining. In: Urban, J. and Dasgupta, P. (eds.),
Encyclopedia of Distributed Computing , Kluwer Academic
Publishers.
Zaïane,
O. R., Han, J., Li, Z.-N., and Hou, J. (1998). Mining Multimedia
Data, Proc. CASCON'98: Meeting of Minds, Toronto, Canada.
Han,
J. (1997). Data Mining: Where Is It Heading?'', Proc. of 1997
International Conference. on Data Engineering (ICDE'97), Birmingham,
England, , pp. 508.
Gahegan,
M. N. (1994). Support for the contextual interpretation of data
within an object-oriented GIS. Proc. 6th International Symposium
on Spatial Data Handling, (Ed. Waugh, T. C. and Healey, R. G.),
Edinburgh, Scotland, pp. 988-1001.
Hassen,
K. and Beard, K. A. (1996). Reference model framework to evaluate
visualization of positional change in spatial databases.. Computers
Environment and Urban Systems, Vol. 20, No. 1, pp. 43-62.
Visual
Data Exploration:
Carter,
J. and Dykes, J., 1998, Developing a visualisation gateway for the
UK census of population. Proc: 6th International Symposium on
Spatial Data Handling (Eds. Poiker, T. and Chrisman, N.), (Vancouver,
Canada: International Geographical Union), pp. 543-556.
Chernoff,
H. (1973). The use of faces to represent points in k-dimensional
space graphically. Journal of the American Statistical Association,
Vol. 68, pp. 361-368.
Chernoff,
H. (1978). Graphical representations as a discipline. In: Graphical
Representations of Multivariate Data (Ed. Wang, P. C. C.), Academic
Press, New York, USA.
The
following two papers, on Selective Dynamic Manipulation, are
available for download from: http://www.cs.cmu.edu/~mei/
Chuah,
M. C., Roth, S. F., Mattis, J. and Kolojejchick, J. (1995). SDM:
Malleable Information Graphics, Proc: Information Visualization,
Atlanta, GA, pp. 36-42.
Chuah,
M. C., Roth, S. F., Mattis, J. and Kolojejchick, J. (1995). SDM:
Selective Dynamic Manipulation of Visualizations, Proc. ACM
Symposium on User Interface Software and Technology, Pittsburgh,
PA, pp. 61-70.
Dykes,
J. A. (1997). Exploring spatial data representation with dynamic
graphics. Computers & Geosciences, Vol. 23, No. 4, pp.345-370.
Gahegan,
M. N., (1998). Scatterplots and scenes: visualisation techniques
for exploratory spatial analysis. Computers, Environment and
Urban Systems, Vol. 21, No. 1, pp. 43-56.
Rennison,
E. and Strausfeld, L. (1995). The millennium project: constructing
a dynamic 3+D virtual environment for exploring geographically,
temporally and categorically organised historical information. In:
Spatial Information Theory (Eds. Frank, A. U. and Kuhn, W.),
Lecture Notes in Computer Science, Springer Verlag, Berlin, Germany.
Tufte,
E. R. (1990). Envisioning Information, Graphics Press, Cheshire,
Connecticut, USA.
Visual
Data Mining
The
following papers by D. A. Keim are all available as postscript downloads
from the following site: http://www.dbs.informatik.uni-muenchen.de/~daniel/publication.html
Boyle
J., Eick S., Hemmje M., Keim D. A., Lee J. P., Sumner E. (1994).
Database Issues for Data Visualization: Interaction, User Interfaces,
and Presentation , in: Database Issues in Data Visualization,
Springer, pp. 210-229.
Keim
D. A. (1997). Visual Data Mining, Tutorial, Int. Conf. on Very
Large Databases (VLDB'97), Athens, Greece, 1997.
Keim
D. A. (1996). Pixel-oriented Database Visualizations , Sigmod
Record, Special Issue on Information Visualization, Dec. 1996.
Keim
D. A. (1996) Databases and Visualization , Tutorial, Proc. ACM
SIGMOD Int. Conf. on Management of Data, Montreal, Canada.
Keim
D. A., Lee J. P., Thuraisinghaman B., Wittenbrink C. (1995). Database
Issues for Data Visualization: Supporting Interactive Database
Exploration , Proc. Workshop on Database Issues for Data Visualization,
Atlanta, GA, 1995, Springer Lecture Notes, 1996.
Keim
D. A. (1996). TestVis: A Test Data Generation Tool for Comparing
Visual Database Exploration Techniques, Workshop on Foundations
of Advanced Information Visualization, Gubbio, Italy.
Keim,
D. and Kriegel, H.-P.(1996) Visualisation techniques for mining
large databases: a comparison. IEEE Transactions on Knowledge
and Data Engineering (Special Issue on Data Mining),
Lee,
H. Y. and Ong, H. L. (1996). Visualization support for data mining.
IEEE Expert Intelligent Systems and their Applications, Vol.
11, No. 5, pp. 69-75.
MacEachren,
A. M., Wachowicz, M., Edsall, R. and Haug, D. (1999). Constructing
knowledge from multivariate spatiotemporal data: integrating geographic
visualisation with knowledge discovery in database (KDD) methods.
International Journal of Geographic Information Science,
in press.
Visually-Based
Analysis and Geocomputation
Cleveland,
W. S. and McGill, M. E. (1988). Dynamic Graphics for Statistics,
Wadsworth & Brookes/Cole, Belmont, California, USA.
Haslett,
J., Bradley, R., Craig, P., Unwin, A. and Wills, G. (1991). Dynamic
graphics for exploring spatial data with application to locating
global and local anomalies. The American Statistician, Vol.
45, No. 3, pp. 234-242.
Holt,
A. and Benwell, G. (1997). Using spatial similarity for exploratory
spatial data analysis: some directions. Proc. Second International
Conference on GeoComputation (ed. Pascoe, R.), SIRC, Otago,
New Zealand, pp. 279-288.
MacDougall,
E. B. (1992). Exploratory analysis, dynamic statistical visualisation
and geographic information systems. Cartography and Geographical
Information Systems, Vol. 19, No. 4, pp. 237-246.
MacEachren,
A. M. and Ganter, J. H. (1990). A pattern identification approach
to cartographic visualisation. Cartographica, Vol. 27, No.
2, pp. 64-81.
Monmonier,
M. S., 1990, Strategies for the interactive exploration of geographic
correlation. Proc. 4th International Symposium on Spatial Data
Handling (Ed. Brassel, K. & Kishimoto, H.), (Zurich, Switzerland:
Dept. of Geography), Vol. 1, pp. 381-389.
Tang,
Q., 1992, A Personal Visualisation System for Visual Analysis of
Area-Based Spatial Data: Proc. GIS/LISí 92. Vol. 2, (Bethesda,
Maryland, USA: American Society for Photogrammetry and Remote Sensing),
767-776.
Walker,
G. (1995). Advanced Applications and Technology. British Telecommunications
Engineering, Vol. 14, pp. 17-25, April 1995. URL: http://btlabs1.labs.bt.com/library/on-line/challenges/
Wise,
S., Haining, R. and Signoretta, P. (1998). The role of visualisation
for exploratory spatial data analysis of are-based data. Proc. GeoComputationí98:
URL http://www.geog.port.ac.uk/geocomp/geo98/
Visualization:
Automated / Knowledge-Based Schema Generation (integration of database
schema and visualization system
Bertin,
J. (1985). Graphical Semiology. University of Wisconsin Press,
Madison, Wisconsin, USA.
Beshers,
C. and Feiner, S. (1993). AutoVisual: Rule-Based Design of Interactive
Multivariate Visualisations. IEEE Computer Graphics and Applications.
pp. 41-49.
Duclos,
A. M. and Grave, M. (1993). Reference Models and Formal Specification
for Scientific Visualisation. In: Palamidese, P. (Ed) Scientific
Visualisation: Advanced Software Techniques, pp. 3-14.
Gahegan,
M. N. and OíBrien, D. L. (1997). A strategy and architecture for
the visualisation of complex geographical datasets. International
Journal of Pattern Recognition and Artificial Intelligence, Vol.
11, No. 2, pp. 239-261.
Jung,
V., 1995, Knowledge-based visualisation design for geographic information
systems. Proc. 3rd ACM Workshop on Advances in Geographic
Information Systems. (New York, USA: ACM Press), pp. 101-108.
Jung,
V., 1996, Fuzzy effectiveness evaluation for intelligent user interfaces
to GIS visualisation. Proc. First International Conference on
GeoComputation, (Eds. Openshaw, S. and Abrahart, R.) (Leeds,
UK: Department of Geography).
Mackinlay
J. D. (1986). Automating the Design of Graphical Presentations of
Relational Information. ACM Transactions on Graphics, Vol.
5, No. 2, pp. 110-141.
Palamidese,
P. (Ed), 1993, Scientific Visualisation: Advanced Software Techniques.
(location?: Ellis-Horwood.
Robertson,
P. K. (1990). A methodology for scientific data visualisation: choosing
representations based on a natural scene paradigm. Proc. IEEE.
Visualisation ë90, pp. 114-123.
Robertson
P.K. (1997). Visualizing spatial data: The problem of paradigms.
International Journal of Pattern recognition and Artificial Intelligence,
Vol. 11, No. 2, p. 263-273.
Rogowitz,
B. E. and Treinish, L. A., 1993, An Architecture for Rule-Based
Visualisation. In: Proc. IEEE Visualisation ë93, IEEE publications,
pp. 236-243.
Senay,
H. and Ignatius, E. (1994). A knowledge-Based System for Visualisation
Design. IEEE Computer Graphics and Applications, pp. 36-47.
Senay,
H. and Ignatius, E., 1991, Compositional Analysis and Synthesis
of Scientific Data Visualisation Techniques. In: Patrikalakis (Ed)
Scientific Visualisation of Physical Phenomena, (Hong Kong:
Springer-Verlag), pp. 269-281.
Spitaleri,
R., 1993, Reference models for computational visual simulations.
In: (Ed. Palamidese, P.). Scientific Visualisation: Advanced
Software Techniques. (location?: Ellis-Horwood), pp. 3-14.
Turk,
A. (1994). Cogent GIS visualisations. In: Visualisation in Geographical
Information Systems (Eds. Hearnshaw, H. M. and Unwin, D. J.), Wiley,
Chichester, England, pp. 26-33.
Visualization
of database schema and metadata and queries
(Note
that several databases and some GIS now routinely support a visual
mode of schema browsing and editing. Notably, Smallworld GIS has supported
a visual schema interface since 1994.)
The
following 2 references describe the Database Visualisation Tool ëDoodleíósupporting
graphical interaction with an object-oriented database schema). See
the URL for more details: http://www.cs.brown.edu/people/ifc/IEEE/test/test.html
Cruz,
F. (1992). DOODLE: A Visual Language for Object-Oriented Databases.
In ACM-SIGMOD International. Conference on Management of Data,
pp. 71-80.
Cruz,
F. (1994). User-defined Visual Query Languages. Proc: IEEE
Symposium on Visual Languages (VL '94), pp. 224-231.
Friedell,
M. Kochhar, S. LaPolla, M. V. and Marks, J., 1992, Integrated software,
process, algorithm and application visualisation. Journal of
Visualization and Computer Animation, 3, 210-218.
McCrickard,
D. S. and Kehoe, C. M. (1999).Visualizing Search Results using SQWID,
College of Computing, Georgia Institute of Technology. Graphics,
Visualization, and Usability Center.
URL: http://www.cc.gatech.edu/grads/m/Scott.McCrickard/sqwid/Doc/www6.html
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