VLDB 2010
H. Kimura, S. Madden, and S. B. Zdonik. UPI: A
Primary Index for Uncertain Databases. In PVLDB, 2010.
J. Li and A. Deshpande. Ranking Continuous
Probabilistic Datasets. In PVLDB, 2010.
X. Lian and L. Chen. Set Similarity Join on Probabilistic
Data. In PVLDB, 2010.
M. A. Soliman, I. F. Ilyas, and M. Saleeb.
Building Ranked Mashups of Unstructured Sources with Uncertain Information.
In PVLDB, 2010.
T. Ge and S. B. Zdonik. A*-tree: A Structure for
Storage and Modeling of Uncertain Multidimensional Arrays. In PVLDB,
2010.
M. Potamias, F. Bonchi, A. Gionis, and G.
Kollios. k-Nearest Neighbors in Uncertain Graphs.
In PVLDB, 2010.
P. Agrawal, A. D. Sarma, J. D. Ullman, J. Widom.
Foundations of Uncertain-Data Integration. In PVLDB, 2010.
T. T. L. Tran, A. McGregor, Y. Diao, L. Peng,
and A. Liu. Conditioning and Aggregating Uncertain Data Streams: Going Beyond
Expectations. In PVLDB, 2010.
J. Xu, Z. Zhang, A. K. H. Tung, and G. Yu.
Efficient and Effective Similarity Search over Probabilistic Data based on
Earth Mover's Distance. In PVLDB, 2010.
M. Benedikt, E. Kharlamov, D. Olteanu, and P.
Senellart. Probabilistic XML via Markov Chains. In PVLDB, 2010.
P. J. Haas, C. M. Jermaine, S. Arumugam, F. Xu,
L. L. Perez, R. Jampani. MCDB-R: Risk Analysis in the Database. In PVLDB,
2010.
M. L. Wick, A. McCallum, and G. Miklau. Scalable
Probabilistic Databases with Factor Graphs and MCMC. In PVLDB,
2010.
D. Z. Wang, M. J. Franklin, M. N. Garofalakis,
and J. M. Hellerstein. Querying Probabilistic Information Extraction. In PVLDB,
2010.
P. Sen, A. Deshpande, and L. Getoor. Read-Once
Functions and Query Evaluation in Probabilistic Databases. In PVLDB,
2010.
X. Lian and L. Chen. A Generic Framework for
Handling Uncertain Data with Local Correlations. In PVLDB, 2010.
SIGMOD 2010
R. Chen, Y. Mao, and I. Kiringa. GRN model of
probabilistic databases: construction, transition and querying. In SIGMOD,
2010.
X. Lian, L. Chen, and S. Song. Consistent query
answers in inconsistent probabilistic databases. In SIGMOD, 2010.
Y. Qi, R. Jain, S. Singh, S. Prabhakar.
Threshold query optimization for uncertain data. In SIGMOD, 2010.
J. Jestes, F. Li, Z. Yan, and K. Yi.
Probabilistic string similarity joins. In SIGMOD, 2010.
B. Kanagal and A. Deshpande. Lineage processing
over correlated probabilistic databases. In SIGMOD, 2010.
L. L. Perez, S. Arumugam, and C. M. Jermaine.
Evaluation of probabilistic threshold queries in MCDB. In SIGMOD,
2010.
K. Zheng, G. P. C. Fung, and X. Zhou. K-nearest
neighbor search for fuzzy objects. In SIGMOD, 2010.
Z. Bao, S. B. Davidson, S. Khanna, and S. Roy.
An optimal labeling scheme for workflow provenance using skeleton labels. In SIGMOD,
2010.
T. T. L. Tran, L. Peng, B. Li, Y. Diao, and A.
Liu. PODS: a new model and processing algorithms for uncertain data streams. In SIGMOD,
2010.
M. Magnani and D. Montesi. US-SQL: managing
uncertain schemata (Industrial paper). In SIGMOD, 2010.
ICDE 2010
D. Olteanu, J. Huang, and C. Koch. Approximate
confidence computation in probabilistic databases. In ICDE, 2010.
O. Kennedy and C. Koch. PIP: A database system
for great and small expectations. In ICDE, 2010.
R. Chen, Y. Mao, and I. Kiringa.
Generator-Recognizer Networks: A unified approach to probabilistic databases.
In ICDE, 2010.
D. Z. Wang, E. Michelakis, M. J. Franklin, M. N.
Garofalakis, and J. M. Hellerstein. Probabilistic declarative information
extraction. In ICDE, 2010.
D. Sacharidis, A. Arvanitis, and T. K. Sellis.
Probabilistic contextual skylines. In ICDE, 2010.
M. Ye, X. Liu, W.-C. Lee, and D. L. Lee.
Probabilistic Top-k query processing in distributed sensor networks. In ICDE,
2010.
Y. Zhang, X. Lin, G. Zhu, W. Zhang, and Q. Lin.
Efficient rank based KNN query processing over uncertain data. In ICDE,
2010.
R. Cheng, J. Gong, and D. W. Cheung. Managing
uncertainty of XML schema matching. In ICDE, 2010.
Z. Zou, J. Li, H. Gao,
and S. Zhang. Finding top-k maximal cliques in an uncertain graph. In ICDE,
2010.
R. Cheng, X. Xie, M. L. Yiu, J. Chen, and L.
Sun. UV-diagram: A Voronoi diagram for uncertain data. In ICDE,
2010.
SSDBM 2009
Johannes Aßfalg, Hans-Peter Kriegel, Peer
Kroger, and Matthias Renz. Probabilistic Similarity Search for Uncertain Time
Series. In SSDBM, 2009.
VLDBJ 2009
Lian, X., Chen, L. Efficient Processing of
Probabilistic Reverse Nearest Neighbor Queries over
Uncertain Data. In VLDBJ, 2009.
TKDE 2009
Yiu, M., Mamoulis N., Dai, X., Tao, Y., Vaitis,
M. Efficient Evaluation of Probabilistic Advanced Spatial Queries on
Existentially Uncertain Data. In TKDE, 2009.
EDBT 2009
Top-k Dominating Queries in Uncertain Databases
"Xiang Lian*, HKUST, Lei Chen, HKUST"
Evaluating Probability Threshold
k-Nearest-Neighbor Queries over Uncertain Data
"Reynold Cheng*,,
Lei Chen, HKUST, Jinchuan Chen,, Xike Xie, University of Hong Kong"
Processing Probabilistic Spatio-Temporal Range
Queries over Moving Objects with Uncertainty
"Bruce Chung, National Tsing Hua
University, Wang-Chien Lee*, Pennsylvania State University, Arbee Chen,
National Chengchi University"
PROUD: A Probabilistic Approach to Processing
Similarity Queries over Uncertain Data Streams
"MI-YEN YEH*, National Taiwan University,
KUN-LUNG WU, IBM T.J. Watson Research Center, Philip Yu, IBM Watson, MING-SYAN
CHEN, National Taiwan University"
Continuous Probabilistic Nearest-Neighbor
Queries for Uncertain Trajectories
"Goce Trajcevski*, EECS dept., Northwestern
Univ., Roberto Tamassia, CS dept., Brown University, Hui Ding, EECS Dept., Northwestern
Univ., Peter Scheuermann, EECS Dept., Northwestern Univ., Isabel Cruz,
University of Illinois at Chicago"
Query Ranking in Probabilistic XML Data
"Lijun Chang*, Cuhk, Jeffrey Xu Yu,
Hongkong, Lu Qin, "
Efficient Top-K count queries over imprecise
duplicates
"Sunita Sarawagi*, IIT Bombay, Vinay
Deshpande, IIT Bombay, Sourabh Kasliwal, IIT Bombay"
ICDT 2009
Christoph Koch.
A Compositional Query Algebra for Second-Order
Logic and Uncertain Databases
Michaela Goetz and Christoph Koch.
A Compositional Framework for Complex Queries
over Uncertain Data
ICDE 2009
Aggregate Query Answering under Uncertain Schema
Mappings
Avigdor Gal, Technion; Maria Vanina Martinez,
University of Maryland; Gerardo Simari, University of Maryland; VA Subrahmanian,
University of Maryland
Ranking with Uncertain Scores
Mohamed Soliman, University of Waterloo; Ihab
Ilyas, University of Waterloo
On High Dimensional Projected Clustering of
Uncertain Data Streams
Charu Aggarwal, IBM
Decision Trees for Uncertain Data
Smith Tsang, The University of Hong Kong; Ben
Kao, The University of Hong Kong; Kevin Y. Yip, Yale University; Wai-Shing Ho,
The University of Hong Kong; Sau Dan Lee, The University of Hong Kong
Integrating and Ranking Uncertain Scientific
Data
Todd Detwiler, University of Washington;
Wolfgang Gatterbauer, University of Washington; Brent Louie, University of
Washington; Dan Suciu, U. of Washington; Peter Tarczy-Hornoch, University of
Washington
Uncertain Location based Range Aggregates in a
multi-dimensional space
Ying Zhang, UNSW; Xuemin Lin, University of New
South Wales - Australia; Yufei Tao, City Univ. of Hong Kong; Wenjie Zhang, UNSW
Spatial Range Querying for Gaussian-Based
Imprecise Query Objects
Yoshiharu Ishikawa, Nagoya University; Yuichi
Iijima, Nagoya University; Jeffrey Yu, Chinese University of Hong Kong
Efficient Query Evaluation over Temporally
Correlated Probabilistic Streams;
Bhargav Kanagal, Amol Deshpande;
VLDB 2008
Access Control over Uncertain Data Vibhor Rastogi (University of Washington), Dan Suciu
(University of Washington and Microsoft), Evan Welbourne (University of
Washington)
Space-Efficient Synopses for Sliding-Window
Top-k Queries on Uncertain Streams Cheqing Jin (ECUST), Ke Yi (Hong Kong
University of Science and Technology), Lei Chen
(HKUST), Jeffrey Xu Yu (Chin. U. HK), Xuemin Lin (UNSW)
BayeStore: Managing Large, Uncertain Data
Repositories with Probabilistic Graphical Models Daisy Zhe Wang (UC Berkeley),
Eirinaios Michelakis (UC Berkeley), Minos Garofalakis (Yahoo Research, USA),
Joseph Hellerstein
Efficient Search for the Top-k Probable Nearest
Neighbors inUncertain Databases George Beskales (University of Waterloo),
Mohamed Soliman (University of Waterloo), Ihab Francis Ilyas (University of
Waterloo, Canada)
Cleaning Uncertain Data with Quality Guarantees
Reynold Cheng (Hong Kong Polytechnic University), Jinchuan Chen (Hong Kong
Polytechnic University), Xike Xie (Hong Kong Polytechnic University)
SIGMOD 2008
Approximation Algorithms
for Clustering Uncertain Data, PODS 2008
Graham Cormode (AT&T
Labs) and Andrew McGregor (UC San Diego)
Monochromatic and
Bichromatic Reverse Skyline Search over Uncertain Databases
Xiang Lian, Lei Chen (Hong Kong University of Science and Technology)
Ranking Queries on
Uncertain Data: A Probabilistic Threshold Approach
Ming Hua, Jian Pei (Simon
Fraser University), Wenjie Zhang, Xuemin Lin (The University of New South Wales
& NICTA)
MCDB: A Monte Carlo
Approach to Managing Uncertain Data
Peter Haas, Mingxi Wu, Fei Xu,
Ravinath Jampani, Christopher Jermaine, Lusi Perez
Query Efficiency in
Probabilistic XML Models
Benny Kimelfeld, Yuri
Kosharovsky and Yehoshua Sagiv (Hebrew University)
Event Queries on Correlated
Probabilistic Streams
Christopher Christopher Re,
Julie Letchner, Magdalena Balazinska, Dan Suciu (University of Washington)
Sampling Cube: A Framework
for Statistical OLAP over Sampling Data
Xiaolei Li, Jiawei Han,
Zhijun Yin, Jae-Gil Lee, Yizhou Sun (University of Illinois at
Urbana-Champaign)
Querying Continuous
Functions in a Database System
Arvind Thiagarajan, Samuel
Madden (MIT CSAIL)
An efficient filter for
approximate membership checking
Kaushik Chakrabarti,
Surajit Chaudhuri, Venkatesh Ganti, Dong Xin (Microsoft Research)
Finding Frequent Items in
Probabilistic Data
Qin Zhang, Feifei Li, Ke Yi
SSDBM 2008
Singh, S., Mayfield, C., Shah R., Prabhakar, S.,
Hambrusch, S. Query selectivity estimation for uncertain data. In SSDBM,
2008.
Chen, J., Cheng, R. Quality-aware probing of
uncertain data with resource constraints. In SSDBM, 2008.
ICDE 2008
On Unifying Privacy and Uncertain Data
Models
Charu Aggarwal ("IBM T. J. Watson Research
Center, USA"),
Never Walk Alone: Uncertainty for Anonymity in
Moving Objects Databases
Francesco Bonchi (KDD Lab - ISTI, C.N.R.), Osman
Abul (), Mirco Nanni ()
A Framework for Clustering Uncertain Data
Streams
Philip Yu (IBM T. J. Watson Research Center),
Charu Aggarwal ("IBM T. J. Watson Research Center, USA")
Fast and Simple Relational Processing of
Uncertain Data
Christoph Koch (Saarland University), Dan
Olteanu (Universitaet des Saarlandes), Lyublena
Antova (Cornell University), Thomas Jansen (Saarland University)
Probabilistic Verifiers: Evaluating Constrained
Nearest-Neighbor Queries over Uncertain Data
Mohamed Mokbel (Univ. of Minnesota, TC),
Reynold Cheng (Hong Kong Polytechnic Universi), Jinchuan Chen (Hong Kong
Polytechnic University), Chi-Yin Chow (cchow@cs.umn.edu)
Exploiting Lineage for Confidence Computation in
Uncertain and Probabilistic
Databases
Anish Das Sarma (Stanford University), Martin Theobald (Stanford University), Jennifer
Widom (Stanford University)
Handling Uncertain Data in Array Database
Systems
Tingjian Ge (Brown University), Stan Zdonik (Brown University)
Efficiently Answering Probabilistic Threshold
Top-k Queries on Uncertain Data
Jian Pei ("Simon Fraser University,
Canada"), Xuemin Lin (unsw), Ming Hua (Simon Fraser
University), Wenjie Zhang (The University of New South Wales)
Efficient Processing of Top-k Queries in
Uncertain Databases
George Kollios (Boston University), Ke Yi
(AT&T Labs), Feifei Li (Boston University), Divesh Srivastava
(AT&T Labs Inc.)
On High Dimensional Indexing of Uncertain
Data
Philip Yu (IBM T. J. Watson Research
Center), Charu Aggarwal ("IBM T. J. Watson Research Center,
USA")
Top-k Spatial Joins of Probabilistic
Objects
Ambuj Singh (UCSB), Vebjorn Ljosa (Broad
Institute, MIT)
PEEX: Extracting Probabilistic Events from RFID
Data
Magda Balazinska (University of
Washington), Nodira Khoussainova (University of Washington), Dan Suciu (University of Washington)
Sarvjeet Singh, Chris Mayfield, Rahul Shah,
Sunil Prabhakar, Susanne E. Hambrusch, Jennifer Neville, Reynold Cheng:
Database Support for Probabilistic Attributes and Tuples.
SODA 2007
Jayram, T.S., Kale, S., Vee, E. Efficient aggregation algorithms
for probabilistic data. SODA, 2007.
SSDBM 2007
Wu, W., Tan, K.-L. iSEE:
Efficient continuous k-nearest-neighbor monitoring over moving
objects. SSDBM, 2007.
Uncertainty Management
Mohamed Y. Eltabakh, Mourad Ouzzani, Walid G.
Aref:
Duplicate Elimination in Space-partitioning Tree
Indexes. 18
Brenton Louie, Landon Detwiler, Nilesh N. Dalvi,
Ron Shaker, Peter Tarczy-Hornoch, Dan Suciu:
Incorporating Uncertainty Metrics into a
General-Purpose Data Integration System. 19
Ameet Kini, Jeffrey F. Naughton:
Database Support for Weighted Match Joins. 20
VLDB 2007
Pei, J., Jiang, B., Lin, X., Yuan, Y.
Probabilistic skylines on uncertain data. VLDB, 2007.
Dong, X., Halevy, A., Yu, C. Data integration
with uncertainty. VLDB, 2007.
Burdick, D., Doan, A., Ramakrishnan, R.,
Vaithyanathan, S. OLAP over imprecise data with domain constraints. VLDB, 2007.
Kimelfeld, B., Sagiv, Y. Matching twigs in
probabilistic XML. VLDB, 2007.
Re, C., Suciu, D.
Materialized views in probabilistic databases for information exchange and
query optimization. VLDB, 2007.
Wolf, G., Kathri, H., Chokshi, B., Fan, J.,
Chen, Y., Kambhampati, S. Query processing over incomplete autonomous
databases. VLDB, 2007.
SIGMOD 2007
Lyublena Antova, Christoph Koch, and Dan
Olteanu. From Complete to Incomplete Information and Back. SIGMOD, 2007.
ICDE 2007
Efficient Evaluation of Imprecise
Location-Dependent Queries
Jinchuan Chen, Reynold Cheng
Representing and Querying Correlated Tuples in
Probabilistic Databases
prithviraj sen, Amol Deshpande
10^{10^6} Worlds and
Beyond: Efficient Representation and Processing of Incomplete Information
Lyublena Antova, Christoph
Koch, Dan Olteanu
Indexing Uncertain Categorical Data
Sarvjeet Singh, Chris Mayfield, Sunil Prabhakar, Rahul Shah, Susanne Hambrusch
On Density Based Transforms for Uncertain Data
Mining
Charu Aggarwal
Evaluating Proximity Relations Under Uncertainty
Zhengdao Xu, Arno Jacobsen
Efficient Top-k Query Evaluation on
Probabilistic Data
Christopher Re, Nilesh Dalvi, Dan Suciu
Top-k Query Processing in Uncertain
Databases
Mohamed Soliman, Ihab Ilyas, Kevin C. Chang
APLA: Indexing Arbitrary Probability
Distributions
Vebjorn Ljosa, Ambuj K.
Singh
IS 2007
Reynold Cheng, Dmitri V. Kalashnikov, Sunil
Prabhakar: Evaluation of probabilistic queries over imprecise data in constantly-evolving
environments. Inf. Syst. 32(1): 104-130 (2007)
Reynold Cheng, K.Y. Lam, Sunil Prabhakar and B.
Liang. An Efficient Location Update Mechanism for Continuous Queries over
Moving Objects. In Information Systems (IS), Vol. 32, No. 4, pp. 593-620, Jun
2007.
DASFAA 2007
Kriegel H.-P., Kunath P., Renz M.: Probabilistic
Nearest-Neighbor Query on Uncertain Objects, Proc. 12th Int. Conf. on Database
Systems for Advanced Applications (DASFAA'07), Bangkok, Thailand, In: LNCS 443,
2007, pp. 337-348.
VLDB 2006
Douglas Burdick, Prasad M. Deshpande, T. S.
Jayram, Raghu Ramakrishnan, Shivakumar Vaithyanathan:
Efficient Allocation Algorithms for OLAP Over Imprecise Data.
ICDE 2006
Anish Das Sarma, Omar
Benjelloun, Alon Y. Halevy, Jennifer Widom:
Working Models for Uncertain Data.
Christian Böhm, Alexey Pryakhin, Matthias
Schubert:
The Gauss-Tree: Efficient Object Identification
in Databases of Probabilistic Feature Vectors.
SSDBM 2006
Bohm, C., Pryakhin, A., Schubert, M.
Probabilistic ranking queries on Gaussians. SSDBM, 2006. (Note: Gaussian pdf; find a set of objects
(containing at least k objects) such that other uncertain
objects have probabilities of locating in a querying rectangle always smaller
than objects in this set; Gauss tree)
CIKM 2006 (not complete)
Reynold Cheng, S. Singh, Sunil Prabhakar, R.
Shah, J. Vitter and Y. Xia. Efficient Join Processing over Uncertain Data. In
the ACM 15th Conf. on Information and Knowledge Management (ACM CIKM 2006),
Arlington, USA 2006.
DASFAA 2006
Hans-Peter Kriegel, Peter Kunath, Martin
Pfeifle, Matthias Renz: Probabilistic Similarity Join on Uncertain Data. DASFAA
2006: 295-309
GIS 2006
Kalashnikov, D. V., Ma, Y., Mehrotra, S.,
Hariharan, R. Index for fast retrieval of uncertain spatial point data. GIS,
2006.
VLDB 2005
Yufei Tao, Reynold Cheng, Xiaokui Xiao, Wang Kay
Ngai, Ben Kao, Sunil Prabhakar:
Indexing Multi-Dimensional Uncertain Data with
Arbitrary Probability Density Functions.
Douglas Burdick, Prasad Deshpande, T. S. Jayram,
Raghu Ramakrishnan, Shivakumar Vaithyanathan:
OLAP Over Uncertain and
Imprecise Data.
SSTD 2005
Dai, X., Yiu, M. L., Mamoulis,
N., Tao, Y., Vaitis, M. Probabilistic spatial queries on
existentially uncertain data. SSTD, 2005.
Thesis
Reynold Cheng. Managing Uncertainty in
Constantly-Evolving Environments, PhD Thesis, Purdue University, May 2005.
VLDB 2004
Nilesh N. Dalvi, Dan Suciu:
Efficient Query Evaluation on Probabilistic
Databases.
Reynold Cheng, Yuni Xia, Sunil Prabhakar, Rahul
Shah, Jeffrey Scott Vitter:
Efficient Indexing Methods for Probabilistic
Threshold Queries over Uncertain Data.
SIGMOD 2004
Query Uncertainty:
Sunita Sarawagi, Alok Kirpal:
Efficient set joins on similarity predicates
Kaushik Chakrabarti, Surajit Chaudhuri, Seung-won
Hwang:
Automatic Categorization of Query Results.
ICDE 2004
Iosif Lazaridis, Sharad Mehrotra:
Approximate Selection Queries over Imprecise
Data.
Haifeng Liu, Hans-Arno Jacobsen:
Modeling Uncertainties in Publish/Subscribe
Systems
TKDE 2004
Reynold Cheng, Dmitri V. Kalashnikov and Sunil
Prabhakar. Querying Imprecise Data in Moving Object Environments. In IEEE
Transactions on Knowledge and Data Engineering (IEEE TKDE), Vol. 16, No. 9, pp.
1112-1127, Sep 2004
SIGMOD 2003
Reynold Cheng, Dmitri V. Kalashnikov, Sunil Prabhakar: Evaluating Probabilistic Queries over
Imprecise Data. SIGMOD, 2003.
SSTD 2003
Ni, J., Ravishankar C. V., Bhanu B.
Probabilistic spatial database operations. SSTD, 2003.
B. Lin, H. Mokhtar, R. Pelaez-Aguilera, and J.
Su. Querying moving objects with uncertainty. In Proc. of IEEE Semiannual
Vehicular Technology Conf., 2003.
E. Hung, L. Getoor, and V. S. Subrahmanian.
PXML: A probabilistic semistructured data model and algebra. In ICDE, 2003.
A. Nierman and H. V. Jagadish. ProTDB:
Probabilistic data in XML. In VLDB, 2002.
A. Yazici, A. Soysal, B.P. Buckles, and F.E.
Petry. Uncertainty in a nested relational database model. Elsevier Data and
Knowledge Engineering, 30(1999), 1999.
L. Lakshmanan, N. Leone, R. Ross, and V.
Subrahmanian. Probview: A flexible probabilistic database system. ACM Trans.
Database Syst., 22(3), 1997.
A. Shoshani. OLAP and statistical databases:
Similarities and di_erences. In Proc. ACM PODS, 1997.
D. Barbara, H. Garcia-Molina, and D. Porter. The
management of probabilistic data. IEEE Trans. Knowledge and Data Engineering,
4(5), 1992.
Related:
Moving objects:
Reynold Cheng, Kam-yiu Lam, Sunil Prabhakar, BiYu Liang: An efficient location update mechanism for
continuous queries over moving objects. Inf. Syst. 32(4): 593-620 (2007)
T. Farrell, Reynold Cheng. and
K. Rothermel. Energy-Efficient Monitoring of Mobile Objects with
Uncertainty-Aware Tolerances.Accepted in Intl. Database Engineering &
Applications Sympoisum (IDEAS 2007), Banff, 2007.
Yuni Xia, Sunil Prabhakar, Shan Lei, Reynold
Cheng and Rahul Shah. Indexing Continuously Changing Data with Mean-Variance
Tree. Accepted for publication in the 20th Annual ACM Symposium on Applied
Computing (ACM SAC 2005), Mar 2005.
Reynold Cheng, Yuni Xia, Sunil Prabhakar and
Rahul Shah. Change Tolerant Indexing over Constantly Evolving Data.
Accepted for publication in Intl. Conf. on Data Engineering (IEEE ICDE 2005),
Tokyo, Japan, Apr 2005.
Reynold Cheng, Yuni Xia, Sunil Prabhakar and
Rahul Shah. Change Tolerant Indexing over Constantly Evolving Data,
Technical Report number 04-006, Purdue University, June
2004.
D. Kollios, D. Gunopulos, and V. J. Tsotras. On
indexing mobile objects. In 18th ACM PODS Conf., 1999.
Y. Xia, R. Cheng, S. Prabhakar, S. Lei and R.
Shah. Indexing Continuously Changing Data with Mean-Variance Tree.
In the Intl. Journal of High Performance Computing and Networking (IJHPCN): A
Special Issue on Recent Advances in Collaborative Internet Computing, Inderscience
Publishers.
Uncertain Mining:
Wang Kay Ngai, Ben Kao, Chun Kit Chui, Reynold
Cheng, Michael Chau, Kevin Y. Yip: Efficient Clustering of Uncertain Data.
ICDM, 2006.
Michael Chau, Reynold Cheng, Ben
Kao, Jackey Ng: Uncertain Data Mining: An Example in Clustering Location Data.
PAKDD, 2006.
Privacy:
Reynold Cheng, Yu Zhang, Elisa Bertino, Sunil Prabhakar: Preserving User Location Privacy in Mobile
Data Management Infrastructures. Privacy Enhancing Technologies 2006.