This bibliography includes the latest(1999-2003) articles related to Spatial Databases and Spatial Data Mining appearing in ACM Transactions on Database Systems (TODS), IEEE Transaction on Knowledge and Data Engineering(TKDE), VLDB Journal, GeoInformatica, International Journal of Geographical Information Systems, IEEE Data Engineering Bulletin, ACM SIGMOD Conference, PODS Conference, VLDB Conference, ACM SIGKDD Conference, Symposium on Spatial and Temporal Databases, ACM GIS Conference, and ACM CIKM Conference. This is not a complete list of all articles in spatial databases and data mining, and this bibliography serves for the reference purpose to the researchers in this field. Please let us know if you have any comments.
4. Spatio-temporal query processing
8. Spatial Data Model & Query Language
19. Spatial and Temporal Databases
Chakrabarti,
Soumen, Hypertext Databases and Data Mining, SIGMOD99, pp. 508-508, 1999.
D. Agrawal
and C. C. Aggarwal. On the design and quantification of privacy preserving data
mining algorithms. In Proceedings of the Twentieth ACM SIGACT-SIGMOD-SIGART
Symposium on Principles of Database Systems, 2001.
King, Ross
D. and Karwath, Andreas and Clare, Amanda and Dephaspe, Luc,Genome scale
prediction of protein functional class from sequence using data mining, pp.
384-389,KDD00
Becher,
Jonathan D. and Berkhin, Pavel and Freeman, Edmund, Automating exploratory data
analysis for efficient data mining, pp. 424-429,KDD00.
Ma, Yiming
and Liu, Bing and Wong, Ching Kian and Yu, Philip S. and Lee, Shuik Ming,
Targeting the right students using data mining,KDD00. , pp. 457-464,2000
Bhattacharyya,
Siddhartha,Evolutionary algorithms in data mining: multi-objective performance
modeling for direct marketing, KDD00, pp. 465-473, 2000
Ivan Bruha
and A. Famili, Postprocessing in machine learning and data mining,
ACM SIGKDD
Explorations Newsletter, volume 2, no 2, pp. 110-114, 2000.
Feldman,
Ronen, Tutorial: Mining Unstructured Data, KDD-99, 1999.
Marcel
Holsheimer: Data Mining by Business Users: Integrating Data Mining in Business
Processes. KDD Tutorial Notes, pp. 266-291, 1999
Hang Cui,
Ji-Rong Wen, Jian-Yun Nie, Wei-Ying Ma , Query Expansion by Mining User Logs,
Transactions on Knowledge and Data Engineering pp. 829-839, 2003
Ning Zhong,
Yiyu (Y.Y.) Yao, Muneaki Ohshima, Peculiarity Oriented Multidatabase Mining,
Transactions on Knowledge and Data Engineering pp. 952-960, 2003
Chang-Hung
Lee, Ming-Syan Chen, Cheng-Ru Lin,
Progressive Partition Miner: An Efficient Algorithm for Mining General
Temporal Association Rules, Transactions on Knowledge and Data Engineering, pp.
1004-1017, 2003
Alexandros
Nanopoulos, Dimitrios Katsaros, Yannis Manolopoulos , A Data Mining Algorithm
for Generalized Web Prefetching , Transactions on Knowledge and Data
Engineering, pp. 1155-1169, 2003
Jiawei Han,
Yongjian Fu, Mining Multiple-Level Association Rules in Large Databases,
Transactions on Knowledge and Data Engineering, pp. 798-805, 1999
Bing Liu,
Wynne Hsu, Lai-Fun Mun, Hing-Yan Lee, Finding Interesting Patterns Using User
Expectations , Transactions on Knowledge and Data Engineering, pp. 817-832,
1999
Tom Chau,
Andrew K.C. Wong, Pattern Discovery by Residual Analysis and Recursive
PartitioningTransactions on Knowledge and Data Engineering, , pp. 833-852, 1999
Scott T.
Leutenegger, Mario A. López, The Effect of Buffering on the Performance of
R-Trees, Transactions on Knowledge and Data Engineering, pp. 33-44, 2000
Richard
Relue, Xindong Wu, Hao Huang, Efficient runtime generation of association
rules, Proceedings of the tenth international conference on Information and
knowledge management, , pp. 466 - 473, 2001
Amitabha
Das, Wee-Keong Ng, Yew-Kwong Woon, Rapid association rule mining, Proceedings
of the tenth international conference on Information and knowledge management,
pp. 474 - 481, 2001
Amit A.
Nanavati, Krishna P. Chitrapura, Sachindra Joshi, Raghu Krishnapuram, Mining
generalised disjunctive association rules, Proceedings of the tenth
international conference on Information and knowledge management, pp. 482 -
489, 2001
Alexandros
Nanopoulos, Yannis Manolopoulos, Yannis Theodoridis, An efficient and effective
algorithm for density biased sampling, Proceedings of the eleventh
international conference on Information and knowledge management, pp. 398 -
404, 2002
Eui-Hong
(Sam) Han, George Karypis, Vipin Kumar,
Scalable Parallel Data Mining for Association Rules, Transactions on
Knowledge and Data Engineering, pp. 337-352, 2000
Mohammed J.
Zaki , Scalable Algorithms for Association Mining, Transactions on Knowledge
and Data Engineering, pp. 372-390, 2000
Yasuhiko
Morimoto, Takeshi Fukuda, Hiro fumi Matsuzawa, Takesh i Tokuyama, Kunikazu
Yoda, Algorithms for Mining Association Rules for Binary Segmentations of Huge
Categorical Databases, VLDB, pp. 380-391, 1998:
Ling Feng,
Hongjun Lu, Jeffrey Xu Yu, Jiawei Han, Mining inter-transaction associations
with templates, Proceedings of the eighth international conference on Information
and knowledge management, pp. 225 - 233, 1999
Sunil
Choenni, Design and Implementation of a Genetic-Based Algorithm for Data
Mining. VLDB 2000, pp. 33-42, 2000
Martin Ester
and Hans-Peter Kriegel and Matthias Schubert, Web Site Mining : A new way to
spot Competitors, Customers And Suppliers in the World Wide Web, Proc. 8th ACM
SIGKDD int. Conf. on Knowledge Discovery and Data Mining, Edmonton,CA (KDD'02),
pp. 249-258, 2002.
Satoshi
Morinaga, Kenji Yamanishi, Kenji Tateishi, Toshikazu Fukushima: Mining product
reputations on the Web. KDD 341-349, 2002
Hidber,
Christian, Online Association Rule Mining, SIGMOD99, pp. 145-156, 1999
S.
Muggleton",Knowledge discovery in biological and chemical
domains", book,Proceedings of
the first Conference on Discovery
Science","Springer-Verlag",1998,
Han, Jiawei
and Pei, Jian and Mortazavi-Asl, Behzad and Chen, Qiming and Dayal, Umeshwar
and Hsu, Meichun,{FreeSpan}: frequent pattern-projected sequential pattern
mining, KDD00. pp. 355-359, 2000
Bjorner
Larsen and Chinatsu Aone, "Fast and Effective Text Mining Using
Linear-time Document Clustering", KDD-99, 1999.
Mani, D. R.
and Drew, James and Betz, Andrew and Datta, Piew,Statistics and Data Mining
Techniques for Lifetime Value Modeling, KDD99, pp. 94-103, 1999
Ayan, Necip
Fazil and Tansel, Abdullah Uz and Arkun, Erol,An Efficient Algorithm to Update
Large Itemsets with Early Pruning, KDD99, pp. 287-291,1999
Bay, Stephen
and Pazzani, Michael,Detecting Change in Categorical Data: Mining Contrast
Sets, KDD99, pp. 302-306, 1999
Liu, Bing
and Hsu, Wynne and Ma, Yiming,Mining Association Rules with Multiple Minimum
Supports, KDD99, pp. 337-341,1999
Bing Liu and
Wynne Hsu and Yiming Ma and Shu Chen",Mining Interesting Knowledge Using
{DM}-{II}",Knowledge Discovery and Data Mining", pp. 430-434, 1999.
Daniel
Barbará, Special issue on data mining for intrusion detection and threat
analysis, ACM SIGMOD Record, volume 30, number 4, pp. 4-4,2001.
Salvatore J.
Stolfo and Wenke Lee and Philip K. Chan and Wei Fan and Eleazar Eskin, Data
mining-based intrusion detectors: an overview of the columbia IDS project, ACM
SIGMOD Record, volume 30, number 4, pp. 5-14, 2001.
P. Shenoy,
J.R. Haritsa, S. Sudarshan, G. Bhalotia, M. Bawa, and D. Shah. Turbo-charging
vertical mining of large databases. In ACM SIGMOD Intl. Conf. Management of
Data, May 2000.
Olivier Y.
de Vel and A. Anderson and M. Corney and George M. Mohay",Mining Email
Content for Author Identification Forensics",SIGMOD Record, volume 30,
number 4, pp.55-64,2001
Nam Huyn,
Data analysis and mining in the life sciences, ACM SIGMOD Record, volume 30,
number 3, pp. 76-85, 2001
Webb,
Geoffrey I.,Efficient search for association rules., KDD00, pp. 99-107,2000
Wang, Wei
and Yang, Jiong and Yu, Philip S.,Efficient mining of weighted association
rules ({WAR}).,pp. 270-274,KDD00, 2000
Keogh,
Eamonn J. and Pazzani, Michael J.,Scaling up dynamic time warping for
datamining applications., KDD00, pp. 285-289, 2000
Wang, Jason
Tsong-Li and Ma, Qicheng and Shasha, Dennis and Wu, Cathy H.,
Application
of neural networks to biological data mining: a case study in protein sequence
classification.,pp. KDD00, 305-309, 2000
Garcke,
Jochen and Griebel, Michael,Data mining with sparse grids using simplicial
basis functions, KDD01, pp. 87-96, 2001
Hulten,
Geoff and Spencer, Laurie and Domingos, Pedro,Mining Time-Changing Data
Streams, KDD01, pp. 97-106, 2001
Kramer,
Stefan and De Raedt, Luc and Helma, Christoph, Molecular Feature Mining in
{HIV} data, KDD01, pp. 136-143, 2001
Traina, Agma
and Traina, Caetano and Papadimitriou, Spiros and Faloutsos, Christos,
Tri-Plots: Scalable Tools for Multidimensional Data Mining, KDD01, pp. 184-193,
2001
Lin,
Cheng-Ru and Lee, Chang-Hung and Chen, Ming-Syan and Yu, Philip S., Distributed
Data Mining in a Chain Store Database of Short Transactions, KDD'02, pp.
576-581,2001
Raghu
Ramakrishnan, Mass collaboration and data mining, Proceedings of the seventh
ACM SIGKDD international conference on Knowledge discovery and data mining, pp.
4-4,2001,
Netz,
Amir,Data Mining Platform for Database Developers, KDD01, pp. 14-14,2001
Bi, Zhiqiang
and Faloutsos, Christos and Korn, Flip,The ``{DGX}'' Distribution for Mining
Massive, Skewed Data, KDD01, pp. 17-26,2001
Liu,
Rey-Long and Lu, Yun-Ling,Incremental Context Mining for Adaptive Document
Classification, KDD'02, pp. 599-604, 2001
Evfimievski,
Alexandre and Srikant, Ramakrishnan and Agrawal, Rakesh and Gehrke,
Johannes,Privacy Preserving Mining of Association Rules,KDD'02,pp. 217-228,
2001
Hillol
Kargupta, Anupam Joshi: Data mining "to go": ubiquitous KDD for
mobile and distributed environments. KDD Tutorials 2001
Karlton Sequeira, Mohammed Javeed Zaki:
ADMIT: anomaly-based data mining for intrusions. KDD pp. 386-395, 2002
Alexander
Tuzhilin , Gediminas Adomavicius, Handling very large numbers of association
rules in the analysis of microarray data, Proceedings of the eighth ACM SIGKDD
international conference on Knowledge discovery and data mining, 2002
Aggarwal,
Charu C.,Collaborative Crawling: Mining User Experiences for Topical Resource
Discovery, ,KDD'02, pp. 423-4282002
Ayres, Jay
and Flannick, Jason and Gehrke, Johannes and Yiu, Tomi,Sequential {PAttern}
Mining Using Bitmap Representation, KDD'02, pp. 429-435,2002
R. Agrawal
and S. Ramakrishnan. Privacy-preserving data mining. In Proceedings of of the
2000 ACM SIGMOD International Conference on Management of Data, pp. 439-450,
2000.
Soumen
Chakrabarti, Hypertext databases and data mining, Proceedings of the 1999 ACM
SIGMOD international conference on Management of data, 508, 1999.
J. Han, J.
Pei, and Y. Yin. Mining frequent patterns without candidate generation.
Technical Report TR-99-12, Computing Science Technical Report, Simon Fraser
University, October 1999.
Hidber C.
"Online Association Rule Mining". SIGMOD pp. 145-156, 1999.
E. Riedel,
G. Gibson, C. Faloutsos, G. Granger, D. Nagle, "Data Mining on an OLTP
System (Nearly) for Free", SIGMOD, May 2000
P. Shenoy,
J.R. Haritsa, S. Sudarshan, G. Bhalotia, M. Bawa, and D. Shah. Turbo-charging
vertical mining of large databases. In ACM SIGMOD Intl. Conf. Management of
Data, May 2000.
C. R. Palmer
and C. Faloutsos. Density biased sampling: An improved method for data mining
and clustering. In 2000 ACM SIGMOD International Conferenceon Management of
Data, May 2000.
M.
Richardson, P. Domingos. Mining Knowledge-Sharing Sites for Viral Marketing.
Eighth Intl. Conf. on Knowledge Discovery and Data Mining, 2002.
M. J. Zaki.
Efficiently mining frequent trees in a forest. In KDD'02, July 2002.
S. Lawrence
"Context in Web Search", IEEE Data Engineering Bulletin Vol 23 (3)
pp. 25-32, 2000.
Shinichi
Morishita and Jun Sese, Transversing itemset lattices with statistical metric
pruning, Proceedings of the nineteenth ACM SIGMOD-SIGACT-SIGART symposium on
Principles of database systems,226-236,2000.
Hulten,
Geoff and Domingos, Pedro,Mining Complex Models from Arbitrarily Large
Databases in Constant Time, KDD'02, pp. 525-531,2002
Keogh,
Eamonn and Lonardi, Stefano and Chiu, Bill Yuan-chi,Finding Surprising Patterns
in a Time Series Database In Linear Time and Space, KDD'02, pp. 550-556, 2002
Little, Bert
B. and Johnston, Walter L. and Lovell, Ashley C. and Rejesus, Roderick M. and
Steed, Steve A.,Collusion in The U.S. Crop Insurance Program: Applied Data
Mining, KDD'02, pp. 594-598,2002
Jiawei Han,
Laks V. S. Lakshmanan, Jian Pei: Scalable frequent-pattern mining methods: an
overview. KDD Tutorials 2001
Domingos,
Pedro and Richardson, Matt,Mining the Network Value of Customers, KDD01, pp.
57-66,2001
DuMouchel,
William and Pregibon, Daryl,Empirical Bayes Screening For Multi-Item
Associations In Massive Datasets, KDD01, pp. 67-76,2001
Yang, Cheng
and Fayyad, Usama and Bradley, Paul,Efficient Discovery of Error-Tolerant
Frequent Itemsets in High Dimensions, KDD01, pp. 194-203,2001
Aggarwal,
Charu and Parthasarathy, Srinivasan,Mining Massively Incomplete Data Sets by
Conceptual Reconstruction, KDD01, pp. 227-232,2001
Basu, Sugato
and Mooney, Raymond J. and Pasupuleti, Krupakar V. and Ghosh,
Joydeep,Evaluating the Novelty of Text-Mined Rules using Lexical Knowledge,
KDD01, pp.
233-238,2001
Morimoto,
Yasuhiko,Mining Frequent Neighboring Class Sets in Spatial Databases,
KDD01, pp.
353-358,2001
Yang, Jiong
and Wang, Wei and Yu, Philip,{InfoMiner}: Mining Surprising Periodic Patterns,
KDD01, pp. 395-400,2001
Pei, Jian
and Han, Jiawei,Can we push more constraints into frequent pattern mining?,
KDD00, pp. 350-354,2000
Wang, Jason
Tsong-Li and Wang, Xiong and Lin, King-Ip and Shasha, Dennis and Shapiro, Bruce
and Zhang, Kaizhong,Evaluating A Class of Distance-Mapping Algorithms for Data
Mining and Clustering, KDD99, pp. 307-311,1999
Cortes,
Corinna and Pregibon, Daryl,Information Mining Platforms: An infrastructure for
{KDD} rapid deployment, KDD99, pp. 327-331,1999
D. Barbara,
J. Couto, and S. Jajodia. ADAM: A testbed for exploring the use of data mining
in intrusion detection. SIGMOD Record, 30(4):15-24, 2001.
Wenke Lee
and Wei Fan, Mining system audit data: opportunities and challenges,
ACM SIGMOD
Record, volume 30, number 4, pp. 35-44, 2001
Saygin, Y.,
Verykios, V. & Clifton, C. (2001) "Using Unknowns to Prevent Discovery
of Association Rules." SIGMOD Record 30(4): pp. 45-54.
Yulan Liang
and Arpad Kelemen, Mining heterogeneous gene expression data with time lagged
recurrent neural networks, Proceedings of the eighth ACM SIGKDD international
conference on Knowledge discovery and data mining, pp. 415-421, 2002.
Themistoklis
Palpanas, Knowledge discovery in data warehouses, ACM SIGMOD Record, volume 29,
3, pp. 88-100, 2000.
B. Pôssas
and M. Carvalho and R. Resende and W. {Meita, Jr.}, Using quantitative
information for efficient association rule generation, ACM SIGMOD Record,
volume 29, number 4, pp. 19-25, 2000,
Kihong Kim
and Sang K. Cha and Keunjoo Kwon, Optimizing multidimensional index trees for
main memory access, Proceedings of the 2001 ACM SIGMOD international conference
on Management of data, pp. 139-150,2001.
Eliseo
Clementini and Paolino {Di Felice}, Spatial operators,ACM SIGMOD Record,
volume 29, number 3, pp. 31-38,2000,
Rastogi, R.,
Shim, K.: Scalable algorithms for mining large databases. In Jiawei Han, (ed),
KDD-99 Tutorial Notes, 1999
Rogers, Seth
and Langley, Pat and Wilson, Christopher,Mining {GPS} Data to Augment Road
Models,KDD99,pp. 104-113, 1999
Bayardo,
Roberto and Agrawal, Rakesh,Mining the Most Interesting Rules,KDD99, pp.
145-154,1999
A. Szalay,
P. Kunszt, A. Thakar, and J. Gray. Designing and mining multi-terabyte
astronomy archives: The sloan digital sky survey. Proc. of SIGMOD, 2000.
Raymond T.
Ng, Jiawei Han , CLARANS: A Method for Clustering Objects for Spatial Data
Mining, Transactions on Knowledge and Data Engineering, pp. 1003-1016, 2002
Peter
Baumann, Andreas Dehmel, Paula Furtado, Roland Ritsch, Norbert Widmann,
Spatio-Temporal Retrieval with RasDaMan, VLDB 1999: pp. 746-749, 1999
José Luis
Ambite, Craig A. Knoblock, Mohammad R. Kolahdouzan, Maria Muslea, Cyrus
Shahabi, Snehal Thakkar, The WorlInfo Assistant: Spatio-Temporal Information
Integration on the Web, VLDB 2001, pp. 717-718, 2001
Wei Wang,
Jiong Yang, Richard Muntz , An Approach to Active Spatial Data Mining Based on
Statistical Information, Transactions on Knowledge and Data Engineering, pp.
715-728, 2000
Gholamhosein
Sheikholeslami, Suro jit Chatterjee, Aidong Zhang, WaveCluster: A Wavelet Based
Clustering Approach for Spatial Data in Very Large Databases., The VLDB
Journal, Volume 8 Numbers 3-4, pp. 289-304, 2000
Jia-Yu Pan,
Christos Faloutsos, "GeoPlot": spatial data mining on video libraries,
Proceedings of the eleventh international conference on Information and
knowledge management, pp. 405 - 412, 2002
Gholamhosein
Sheikholeslami, Suro jit Chatterjee, Aidong Zhang, WaveCluster: A
Multi-Resolution Clustering Approach for Very Large Spatial Databases, VLDB,
pp. 428-439, 1998
Nelley M.
Kovalevskaya, Georgy L. Gimel'farb, Visual models for spatial knowledge
discovery, ACM-GIS 2000, Proceedings of the Eighth ACM Symposium on Advances in
Geographic Information Systems, pp.
187-188, 2000
Christos
Faloutsos and Bernhard Seeger and Agma Traina and Caetano {Traina, Jr.},
Spatial join selectivity using power laws, Proceedings of the 2000 ACM SIGMOD
international conference on Management of data, pp. 177-188,2000.
A. Corral,
Y. Manolopoulos, Y. Theodoridis and M. Vassilakopoulos: "Closest Pair
Queries in Spatial Databases", Technical Report, Data Engineering Lab,
Department of Informatics, Aristotle Univ. of Thessaloniki, Greece, 1999.
Mamoulis,
Nikos and Papadias, Dimitris, Integration of Spatial Join Algorithms for
Processing Multiple Inputs, SIGMOD99, pp. 1-12, 1999
C. Böhm, A
cost model for query processing in high dimensional data spaces, ACM
Transactions on Database Systems (TODS), vol. 25, no. 2, pp. 129-178, 2000.
J. Zhang, M.
Zhu, D. Papadias, Y. Tao, and D. Lee. Location-based spatial queries. SIGMOD,
2003.
Chengyu Sun
and Divyakant Agrawal and Amr {El Abbadi}, Hardware acceleration for spatial
selections and joins, Proceedings of the 2003 ACM SIGMOD international
conference on on Management of data, pp. 455-466,2003.
Dimitris
Papadias and Yufei Tao and Greg Fu and Bernhard Seeger, An optimal and
progressive algorithm for skyline queries, Proceedings of the 2003 ACM SIGMOD
international conference on on Management of data, pp. 467-478, 2003.
Bin Cui and
Beng Chin Ooi and Jianwen Su and Kian-Lee Tan, Contorting high dimensional data
for efficient main memory KNN processing, Proceedings of the 2003 ACM SIGMOD international
conference on on Management of data, pp. 479-490, 2003.
A. Corral, Y. Manolopoulos, Y. Theodoridis
and M. Vassilakopoulos: "Closest Pair Queries in Spatial Databases",
Technical Report, Data Engineering Lab, Department of Informatics, Aristotle
Univ. of Thessaloniki, Greece, 1999.
F. Korn and
S. Muthukrishnan. Influence sets based on reverse nearest neighbor queries. In
Proc. ACM SIGMOD Int. Conf. on Management of Data, Dallas, USA, May 2000.
Christos
Faloutsos, Bernhard Seeger, Agma J. M. Traina, and Caetano Traina Jr. Spatial
join selectivity using power laws. In Proc. ACM SIGMOD Int. Conf. on Management
of Data, 2000.
N. Mamoulis
and D, Papadias", Multiway spatial joins, Database Systems,vol.26, no. 4,
pp. 424-475,2001.
T. Fukuda,
Y. Morimoto, S. Morishita, and T. Tokuyama, Data Mining with optimized
two-dimensional association rules,ACM Transactions on Database Systems
(TODS),vol.26,no.2, pp. 179-213, 2001.
Y. Tao, and
D. Papadias, Spatial queries in dynamic environments,ACM Transactions on
Database Systems (TODS),vol. 28,no. 2, paged 101-139, 2003.
S. Castano,
V. De Antonellis, M. G. Fugini, and B. Pernici, Conceptual schema analysis:
techniques and applications, ACM Transactions on Database Systems (TODS), vol.
23, no. 3, pp. 286-333, 1998.
Leonardo
Guerreiro Azevedo, Rodrigo Salvador Monteiro, Geraldo zimbrão, Jano Moreira de
Souza ,Polyline Spatial Join Evaluation Using Raster Approximation ,
GeoInformatica, Volume 7, Issue 4, pp. 315-336 , 2003,
Shashi
Shekhar, Chang-Tien Lu, Sanjay Chawla, Sivakumar Ravada , Efficient
Join-Index-Based Spatial-Join Processing: A Clustering Approach, Transactions
on Knowledge and Data Engineering, pp. 1400-1421, 2002
Nikos
Mamoulis, Dimitris Papadias , Slot Index Spatial Join, Transactions on
Knowledge and Data Engineering, pp.
211-231, 2003
Bo Huang,
Hui Lin,Design of a Query Language for Accessing Spatial Analysis in the Web
Environment, GeoInformatica, Volume 3, Issue 2, pp. 165-183 , 1999,
David J.
Abel, Volker Gaede, Robert A. Power, Xiaofang Zhou, Caching Strategies for Spatial Joins , GeoInformatica, Volume 3,
Issue 1, pp. 33-59, 1999
Xuan Liu,
Shashi Shekhar, Sanjay Chawla,
Object-Based Directional Query Processing in Spatial Databases ,
Transactions on Knowledge and Data Engineering, pp. 295-304, 2003
Ning An, Ji
Jin, Anand Sivasubramaniam, Toward an
Accurate Analysis of Range Queries on Spatial Data , Transactions on Knowledge
and Data Engineering, pp. 305-323, 2003
Ju-Won Song,
Kyu-Young Whang, Young-Koo Lee, Min-Jae Lee, Sang-Wook Kim , Spatial Join
Processing Using Corner Transformation, Transactions on Knowledge and Data
Engineering, pp. 688-695, 1999
Yannis
Theodoridis, Emmanuel Stefanakis, Timos Sellis , Efficient Cost Models for
Spatial Queries Using R-Trees , Transactions on Knowledge and Data Engineering,
pp. 19-32, 2000
Nebojsa
Stefanovic, Jiawei Han, Krzysztof Koperski , Object-Based Selective
Materialization for Efficient Implementation of Spatial Data Cubes, Transactions
on Knowledge and Data Engineering, pp. 938-958, 2000
Hui Lin, Bo
Huang , SQL/SDA: A Query Language for Supporting Spatial Data Analysis and Its
Web-Based Implementation, Transactions on Knowledge and Data Engineering, pp.
671-682, 2001
Stéphane
Grumbach, Philippe Rigaux, Luc Segoufin, Spatio-Temporal Data Handling with
Constraints, GeoInformatica, Volume 5, Issue 1, pp. 95-115, 2001,
Dimitris
Papadias, Nikos Mamoulis, Vasilis Delis, Algorithms for Querying by Spatial
Structure. VLDB, pp. 546-557, 1998
Geraldo
Zimbrao, J ano Moreira de SouzaA Raster Approximation For Processing of Spatial
Joins, VLDB, pp. 558-569, 1998
Lars Arge,
Octa vian Procopiuc, Sridh ar Ramaswamy, Torsten Suel, Je ffrey Scott Vitter,
Scalable Sweeping-Based Spatial Join, VLDB , pp. 570-581, 1998:
Byunggu Yu,
Ratko Orlandic, Martha Evens, Simple QSF-trees: an efficient and scalable
spatial access method, Proceedings of the eighth international conference on
Information and knowledge management, pp. 5 - 14, 1999
Ju-Won Song,
Kyu-Young Whang, Young-Koo Lee, Min-Jae Lee, Sang-Wook Kim,
Transformation-based spatial join, Proceedings of the eighth international
conference on Information and knowledge management, pp. 15 - 261999
Yasushi
Sakurai, Mas atoshi Yoshikawa, Ryoji Kataoka, Shunsuk e Uemura, Similarity
Search for Adaptive Ellipsoid Queries Using Spatial Transformation, VLDB, pp.
231-240, 2001
Chris
Jermaine, Edward Omiecinski, Wai Gen Yee, Maintaining a Large Spatial Database
with T2SM, ACM-GIS 2001, Proceedings of the Ninth ACM International Symposium
on Advances in Geographic Information Systems,pp. 76-81, 2001
Laura Toma,
Rajiv Wickremesinghe, Lars Arge, Jeffrey S. Chase, Jeffrey Scott Vitter,
Patrick N. Halpin, Dean Urban, Flow Computation on Massive Grids, ACM-GIS 2001,
Proceedings of the Ninth ACM International Symposium on Advances in Geographic
Information Systems,pp. 82-87, 2001
Donghui
Zhang, Vassilis J. Tsotras, Improving Min/Max Aggregation over Spatial Objects,
ACM-GIS 2001, Proceedings of the Ninth ACM International Symposium on Advances
in Geographic Information Systems,pp. 88-93, 2001
Jignesh M.
Patel, David J. DeWitt, Clone join and shadow join: two parallel spatial join
algorithms, ACM-GIS 2000, Proceedings of the Eighth ACM Symposium on Advances in
Geographic Information Systems, pp.
54-61, 2000
Sung-Ho Woo,
Sung-Bong Yang, An improved network clustering method for I/O-efficient query
processing, ACM-GIS 2000, Proceedings of the Eighth ACM Symposium on Advances
in Geographic Information Systems, pp.
62-68, 2000
Xuan Liu,
Shashi Shekhar, Sanjay Chawla, Processing object-oientation-based direction
queries: a summary of results, ACM-GIS 2000, Proceedings of the Eighth ACM
Symposium on Advances in Geographic Information Systems, pp. 69-76, 2000
Marek B.
Zaremba, L. St-Laurent, O. Niemann, Dianne Richardson, Integration of
self-organizing maps with spatial indexing for efficient processing of
multi-dimensional data, ACM-GIS 2000, Proceedings of the Eighth ACM Symposium
on Advances in Geographic Information Systems,
pp. 77-82, 2000
Tsin-Shu
Yeh, Spot: Distance Based Join Indices for Spatial Data, ACM-GIS '99,
Proceedings of the 7th International Symposium on Advances in Geographic
Information Systems, pp. 103-109, 1999
M. F.
Mokbel, T. M. Ghanem, and W. G. Aref
Spatio-Temporal Access Methods, IEEE Data Engineering Bulletin, 26(2),
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