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A bibliography of temporal, spatial and spatio-temporal data mining research
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Source ACM SIGKDD Explorations Newsletter archive
Volume 1 ,  Issue 1  (June 1999) table of contents
Pages: 34 - 38  
Year of Publication: 1999
ISSN:1931-0145
Authors
John F. Roddick  University of South Australia, The Levels Campus, Mawson Lakes, South Australia, Australia
Myra Spiliopoulou  Humboldt-Universität, Berlin, Berlin, Germany
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 61,   Downloads (12 Months): 411,   Citation Count: 13
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ABSTRACT

With the growth in the size of datasets, data mining has recently become an important research topic and is receiving substantial interest from both academia and industry. At the same time, a greater recognition of the value of temporal and spatial data has been evident and the first papers looking at the confluence of these two areas are starting to emerge. This short paper provides a few comments on this research and provides a bibliography of relevant research papers investigating temporal, spatial and spatio-temporal data mining.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Andreas S. Weigend and Neif A. Gershenfeld, editors. Time Series Prediction: Forecasting the Future and Understanding the Past, Volume XV of Proc. NATO Advanced Research Workshop on Comparative Time Series Analysis, Santa Fe, New Mexico, May 1993. Addison-Wesley.
 
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Al-Naemi, S. 1994. 'A Theoretical Framework for Temporal Knowledge Discovery'. In Proc. International Workshop on Spatio-Temporal Databases, Benicassim, Spain. 23-33.
 
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Berger, G. and Tuzhilin, A. 1998. 'Discovering unexpected patterns in temporal data using temporal logic'. In Temporal Databases - Research and Practice. O. Etzion, S. Jajodia and S. Sripada (eds.), Lecture Notes in Computer Science 1399, Springer-Verlag, Berlin. 281-309.
 
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Rainsford, C.P. and Roddick, J.F. 1996. 'Temporal data mining in information systems: a model'. In Proc. Seventh Australasian Conference on Information Systems, Hobart, Tasmania. 2:545-553.
 
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Abraham, T. and Roddick, J.F. 1997. 'Discovering meta-rules in mining temporal and spatio-temporal data'. In Proc. Eighth International Database Workshop, Data Mining, Data Warehousing and Client/Server Databases (IDW'97), Hong Kong. Springer-Verlag. 30-41.
 
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Agrawal, R. and Psaila, G. 1995. 'Active Data Mining'. In Proc. First International Conference on Knowledge Discovery and Data Mining (KDD-95), Montreal, Quebec, Canada. AAAI Press, Menlo Park, California. 3-8.
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Blum, R.L. 1982. 'Discovery, Confirmation, and Incorporation of Causal Relationships from a Large Time-Oriented Clinical Database: The RX Project'. In Computers and Biomedical Research. 15, 164-187.
 
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Chen, X., Petrounias, I. and Heathfield, H. 1998. 'Discovering temporal association rules in temporal databases'. In Proc. International Workshop on Issues and Applications of Database Technology (IADT'98), 312-319.
 
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Long, J.M., Irani, E.A. and Slagle, J.R. 1991. 'Automating the Discovery of Causal Relationships in a Medical Records Database'. In Knowledge discovery in databases. G. Piatetsky-Shapiro and W.J. Frawley (eds.), AAAI Press/MIT Press, 465- 476.
 
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Rainsford, C.P. and Roddick, J.F. 1997. 'An attribute-oriented induction of rules from temporal interval data'. In Proc. Eighth International Database Workshop, Data Mining, Data Warehousing and Client/Server Databases (IDW'97), Hong Kong. Springer Verlag. 108-118.
 
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Saraee, M.H. and Theodoulidis, B. 1995. 'Knowledge discovery in temporal databases'. In Proc. IEE Colloquium on 'Knowledge Discovery in Databases', IEE, London. 1-4.
 
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Wijsen, J. and Meersman, R. 1997. 'On the complexity of mining temporal trends'. In Proc. SIGMOD'97 Workshop on Research Issues on Data Mining and Knowledge Discovery, Tucson, Arizona.
 
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Berger, G. and Tuzhilin, A. 1998. 'Discovering unexpected patterns in temporal data using temporal logic'. In Temporal Databases - Research and Practice. O. Etzion, S. Jajodia and S. Sripada (eds.), Lecture Notes in Computer Science 1399, Springer-Verlag, Berlin. 281-309.
 
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Han, J., Gong, W. and Yin, Y. 1998. 'Mining segment-wise periodic patterns in time-related databases'. In Proc. Fourth International Conference on Knowledge Discovery and Data Mining, AAAI Press, Menlo Park. 214-218.
 
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Mannila, H. and Toivonen, H. 1996. 'Discovering generalised episodes using minimal occurences'. In Proc. Second International Conference on Knowledge Discovery and Data Mining (KDD-96), Portland, Oregon. AAAI Press, Menlo Park. 146-151.
 
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Mannila, H., Toivonen, H. and Verkamo, A.I. 1995. 'Discovering frequent episodes in sequences'. In Proc. First International Conference on Knowledge Discovery and Data Mining (KDD- 95), Montreal, Quebec, Canada. AAAI Press, Menlo Park, California. 210-215.
 
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Padmanabhan, B. and Tuzhilin, A. 1996. 'Pattern discovery in temporal databases: a temporal logic approach'. In Proc. Second International Conference on Knowledge Discovery and Data Mining, Portland, Oregon. AAAI Press.
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Spiliopoulou, M. 1998. 'The laborious way from data mining to web mining'. International Journal on Computer Systems Science and Engineering. To appear.
 
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Wade, T.D., Byms, P.J., Steiner, J.F. and Bondy, J. 1994. 'Finding temporal patterns - a set based approach'. Artificial Intelligence in Medicine. (6):263-271.
 
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Wang, K. and Tan, J. 1996. 'Incremental discovery of sequential patterns'. In Proc. ACM SIGMOD Workshop on Research Issues on Data Mining and Knowledge Discovery, Montreal, Canada.
 
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Weiss, G.M. and Hirsh, H. 1998. 'Learning to predict rare events in event sequences'. In Proc. Fourth International Conference on Knowledge Discovery and Data Mining., AAAI Press, Menlo Park, CA. 359-363.
 
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Wexelblat, A. 1996. 'An environment for aiding information-browsing tasks'. In Proc. AAAI Spring Symposium on Acquisition, Learning and Demonstration: Automating Tasks for Users, Birmingham, England. AAAI Press.
 
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Zaki, M.J. 1997. 'Fast mining of sequential patterns in very large databases'. Technical Report 668. University of Rochester.
 
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Zaki, M.J., Lesh, N. and Ogihara, M. 1998. 'PLANMINE: Sequence mining for plan failures'. In Proc. Fourth International Conference on KDD, New York, NY. 369-373.
 
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Keogh, E. and Smyth, P. 1997. 'A probabilistic approach to fast pattern matching in time series databases'. In Proc. Third International Conference on Knowledge Discovery and Data Mining, Newport Beach, California. AAAI Press, Menlo Park, California. 24-30.
 
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Bell, D.A., Anand, S.S. and Shapcott, C.M. 1994. 'Data Mining in Spatial Databases'. In Proc. International Workshop on Spatio-Temporal Databases, Benicassim, Spain.
 
47
Ester, M., Frommelt, A., Kriegel, H.P. and Sander, J. 1998. 'Algorithms for characterization and trend detection in spatial databases'. In Proc. Fourth International Conference on Knowledge Discovery and Data Mining., AAAI Press, Menlo Park. 44-50.
 
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Ester, M., Kriegel, H.-P., Sander, J. and Xu, X. 1996. 'A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise'. In Proc. Second International Conference on Knowledge Discovery and Data Mining, Portland, Oregon. AAAI Press.
 
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Knorr, E.M. and Ng, R.T. 1996. 'Extraction of Spatial Proximity Patterns by Concept Generalization'. In Proc. Second International Conference on Knowledge Discovery and Data Mining, Portland, Oregon. AAAI Press. 347-350.
 
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Koperski, K., Adhikary, J. and Han, J. 1996. 'Knowledge Discovery in Spatial Databases: Progress and Challenges'. In Proc. ACM S1GMOD Workshop on Research Issues on Data Mining and Knowledge Discovery, Montreal, Canada. 55-70.
 
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Ng, R.T. 1996. 'Spatial Data Mining: Discovering Knowledge of Clusters from Maps'. In Proc. ACM SIGMOD Workshop on Research Issues on Data Mining and Knowledge Discovery, Montreal, Canada.
 
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Shek, E.C., Muntz, R.R., Mesrobian, E. and Ng, K. 1996. 'Scalable Exploratory Data Mining of Distributed Geoscientific Data'. In Proc. Second International Conference on Knowledge Discovery and Data Mining, Portland, Oregon. AAAI Press.
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Abraham, T. and Roddick, J.F. 1997. 'Discovering meta-rules in mining temporal and spatio-temporal data'. In Proc. Eighth International Database Workshop, Data Mining, Data Warehousing and Client/Server Databases (IDW'97), Hong Kong. Springer-Verlag. 30-41.
 
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Abraham, T. and Roddick, J.F. 1997. 'Research issues in spatio-temporal knowledge discovery'. In Proc. SIGMOD'97 Workshop on Data Mining, Arizona, USA. ACM Press. 85.
 
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Abraham, T. and Roddick, J.F. 1998. 'Opportunities for knowledge discovery in spatio-temporal information systems'. Aust. J. Inf. Syst. 5(2):3-12.
 
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Mesrobian, E., Muntz, R., Shek, E., Santos, J.R., Yi, J., Ng, K., Chien, S.Y., Mechoso, C., Farrara, J., Stolorz, P. and Nakamura, H. 1995. 'Exploratory data mining and analysis using CONQUEST'. In Proc. IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, IEEE, New York. 281-286.
 
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Stolorz, P. and Dean, C. 1996. 'Quakefinder: A Scalable Data Mining System for Detecting Earthquakes from Space'. In Proc. Second International Conference on Knowledge Discovery and Data Mining (KDD96), Portland, Oregon. AAAI Press, Menlo Park, California. 208-213.
 
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Stolorz, P., Nakamura, H., Mesrobian, E., Muntz, R.R., Shek, E.C., Santos, J.R., Yi, J., Ng, K., Chien, S.-Y., Mechoso, C.R. and Farrara, J.D. 1995. 'Fast Spatio-Temporal Data Mining of Large Geophysical Sets'. In Proc. First International Conference on Knowledge Discovery and Data Mining, Montreal, Canada. AAAI Press. 300-305.

CITED BY  13

Collaborative Colleagues:
John F. Roddick: colleagues
Myra Spiliopoulou: colleagues