Why and Where: A Characterization of Data Provenance

Foundations of databases

Abiteboul, S., Hull, R. B., & Vianu, V. (1994) · Cited by 3,461

Data on the Web from relations to semistructured data and XML

Abiteboul, S., Buneman, P., & Suciu, D. M. (2000) · Cited by 1,062

The Lorel query language for semistructured data

Abiteboul, S., Quass, D., McHugh, J., Widom, J., & Wiener, J. L. (1997) · International Journal on Digital Libraries · doi:10.1007/s007990050005 · Cited by 1,059

Object exchange across heterogeneous information sources

Papakonstantinou, Y., García-Molina, H., & Widom, J. (2002) · Proceedings - International Conference on Data Engineering · doi:10.1109/icde.1995.380386 · Cited by 755

A query language for XML

Deutsch, A., Fernández, M., Florescu, D., Levy, A. Y., & Suciu, D. M. (1999) · Computer Networks · doi:10.1016/s1389-1286(99)00020-1 · Cited by 544

A query language and optimization techniques for unstructured data

Buneman, P., Davidson, S. B., Hillebrand, G. G., & Suciu, D. M. (1996) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/233269.233368 · Cited by 535

View maintenance in a warehousing environment

Zhuge, Y., García-Molina, H., Hammer, J., & Widom, J. (1995) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/223784.223848 · Cited by 435

XML-QL: A Query Language for XML

Deutsch, A. (1998) · Cited by 422

On conjunctive queries containing inequalities

Klug, A. C. (1988) · Journal of the ACM · doi:10.1145/42267.42273 · Cited by 295

Data on the web?

Ballard, J. W. O. (1995) · PubMed · Cited by 276

A theory of fine-grained lineage for functions on structured objects

Hallé, S., & Tremblay, H. (2025) · Theoretical Computer Science · doi:10.1016/j.tcs.2025.115192 · Cited by 2

Semantic-Aware Data Lake Architecture with Automated Schema Evolution and Intelligent Data Discovery

Anuganti, C. (2024) · International Journal of Scientific Research in Computer Science Engineering and Information Technology · doi:10.32628/cseit24113394 · Cited by 2

Cloud-Native Data Analytics Platform with Integrated Governance : A Modern Approach to Real-Time Stream Processing and Feature Engineering

Prabhakaran, S. P. (2025) · International Journal of Scientific Research in Computer Science Engineering and Information Technology · doi:10.32628/cseit251116173 · Cited by 2

Perspective Chapter: The Role of Data Quality Dimensions in Data-Driven Decision-Making

Vágner, A. (2026) · IntechOpen eBooks · doi:10.5772/intechopen.1013233 · Cited by 2

A MODEL FOR IMPROVING GUILT PROBABILITIES TO IDENTIFY DATA LEAKAGES

Motamarri, S., Satwik, M., & Chandra, G. R. (2012) · Cited by 2

Proactive Annotation Management in Relational Databases

Ibrahim, K. M., Du, X., & Eltabakh, M. Y. (2015) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/2723372.2749435 · Cited by 2

Foundations and Applications of Data Provenance

Karvounarakis, G. (2013) · Cited by 2

Growing a protocol

Ramasubramanian, K., Dahlgren, K., Karim, A., Maiya, S., Borland, S., Leskes, B., & Alvaro, P. (2017) · IEEE International Conference on Cloud Computing Technology and Science · Cited by 2

> REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) <

Hsieh, H.-H., Huang, Y., Lu, L.-H., & Huang, G. (2007) · Cited by 2

Datasets Curados e Enriquecidos com Proveniência da Campanha Nacional de Vacinação Contra COVID-19

Gonçalves, M. V. F., Santos, J. S. D., Ferreira, C. Z., Zavaleta, J., da Cruz, S. M. S., & Sampaio, J. D. O. (2021) · doi:10.5753/dsw.2021.17423 · Cited by 2

Critical data provenance as a methodology for studying how language conceals data ethics

Fordyce, R., & Jethani, S. (2021) · Continuum · doi:10.1080/10304312.2021.1983259 · Cited by 2

GEOSS Clearinghouse

Yang, C. P., Liu, K., Li, Z., Li, W., Wu, H., Xia, J., Huang, Q., Li, J., Sun, M., Miao, L., et al. (2014) · CRC Press eBooks · doi:10.1201/b16524-3 · Cited by 2

How, Where, and Why Data Provenance Improves Query Debugging: A Visual Demonstration of Fine–Grained Provenance Analysis for SQL

Muller, T., & Engel, P. (2022) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde53745.2022.00292 · Cited by 2

The resilience of conjunctive queries with inequalities

Qin, B., Li, D., & Zhou, C. (2022) · Information Sciences · doi:10.1016/j.ins.2022.08.049 · Cited by 2

Summarizing Provenance of Aggregate Query Results in Relational Databases

AlOmeir, O., Lai, E. Y., Milani, M., & Pottinger, R. A. (2023) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2023.3265840 · Cited by 2

Provenance-based Explanations for Machine Learning (ML) Models

Turnau, J., Akwari, N., Lee, S.-G., & Rajput, D. (2023) · 2023 IEEE 39th International Conference on Data Engineering Workshops (ICDEW) · doi:10.1109/icdew58674.2023.00011 · Cited by 4

From Database Repairs to Causality in Databases and Beyond

Bertossi, L. (2023) · Lecture notes in computer science · doi:10.1007/978-3-662-68014-8_5 · Cited by 3

SHARQ: Explainability Framework for Association Rules on Relational Data

Ben-Efraim, H., Davidson, S. B., & Somech, A. (2025) · Proceedings of the ACM on Management of Data · doi:10.1145/3709726 · Cited by 2

Trusted Provenance with Blockchain Technology: A Systematic Literature Review

Kocadag, S., Pohl, M., & Schreiber, A. (2025) · Lecture notes in business information processing · doi:10.1007/978-3-031-89277-6_6 · Cited by 2

Benchmarking and Provenance: The Politics of Data Trust in EU Internal Security

Leese, M. (2025) · International Political Sociology · doi:10.1093/ips/olaf042 · Cited by 2

Data Provenance for Agent-Based Models in a Distributed Memory

Davis, D. B., Featherston, J., Vo, H., Fukuda, M., & Asuncion, H. U. (2018) · Informatics · doi:10.3390/informatics5020018 · Cited by 2

Using Functional Dependencies for Reducing the Size of a Data Cube

Garnaud, E., Maabout, S., & Mosbah, M. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-28472-4_9 · Cited by 2

Enabling Secure Data Exchange.

Miklau, G., & Suciu, D. M. (2004) · Cited by 2

Generating All Minimal Integral Solutions to Monotone ∧,∨-Systems of Linear, Transversal and Polymatroid Inequalities

Khachiyan, L. G., Boros, E., Elbassioni, K., & Gurvich, V. A. (2005) · Lecture notes in computer science · doi:10.1007/11549345_48 · Cited by 2

Spatial Clustering with Obstacles Constraints Using Ant Colony and Particle Swarm Optimization

Zhang, X., Wang, J., Fan, Z., & Li, B. (2007) · Springer eBooks · doi:10.1007/978-3-540-77018-3_35 · Cited by 2

Empowering Provenance in Data Integration

Kondylakis, H., Doerr, M., & Plexousakis, D. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-03973-7_20 · Cited by 2

Secure time-aware provenance for distributed systems

Loo, B. T., & Zhou, W. (2012) · Cited by 2

A reliable scheduling method in equipment grid using provenance information

Wang, Y., & Yin, J. (2013) · Information Systems Frontiers · doi:10.1007/s10796-013-9437-6 · Cited by 2

Mob data sourcing

Deutch, D., & Milo, T. (2012) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/2213836.2213905 · Cited by 2

Using provenance to debug changing ontologies

Schenk, S., Dividino, R., & Staab, S. (2011) · Journal of Web Semantics · doi:10.1016/j.websem.2011.06.009 · Cited by 2

Provenance Management for Data Quality Assessment

Zheng, H., Zhu, Q., & Wu, K. (2012) · Journal of Software · doi:10.4304/jsw.7.8.1905-1910 · Cited by 2

Securing Provenance of Distributed Processes in an Untrusted Environment

Syalim, A., Nishide, T., & Sakurai, K. (2012) · IEICE Transactions on Information and Systems · doi:10.1587/transinf.e95.d.1894 · Cited by 2

Query Optimization Based on Data Provenance

Huang, L. M., & Cheng, H. B. (2011) · Advanced materials research · doi:10.4028/www.scientific.net/amr.186.586 · Cited by 2

A Provenance Model Based on Declarative Specifications for Intensive Data Analyses in Hemotherapy Information Systems

Almeida, F. N., da Silva, G. T., Sabino, É. C., Mendrone, A., & Ferreira, J. E. (2014) · IEEE International Conference on eScience · doi:10.1109/escience.2014.28 · Cited by 2

On answering why and why-not questions in databases

Islam, M. S. (2013) · IEEE International Conference on Data Engineering Workshops (ICDEW) · doi:10.1109/icdew.2013.6547468 · Cited by 2

Using Materialized Views to Enhance a Traceable P2P Record Exchange Framework

Li, F., & Ishikawa, Y. (2011) · Journal of Advances in Information Technology · doi:10.4304/jait.2.1.27-39 · Cited by 2

Guilt Model Process for Identifying Data Leakage and Guilty Agent in Data transmission

S.Jenila, S. J., Sivasankari, K., R.Arudselvi, R. A., Monica, J. M., & Saranya, B. (2012) · International Journal of Computer Applications · doi:10.5120/5697-7744 · Cited by 2

Provenance Support for Data-Intensive Scientific Workflows

Khan, F. A., & Brezány, P. (2011) · Springer eBooks · doi:10.1007/978-3-642-20045-8_11 · Cited by 2

Non-interactive editable signatures for assured data provenance

Qian, H., & Xu, S. (2011) · ACM Conference on Data and Application Security and Privacy (CODASPY) · doi:10.1145/1943513.1943533 · Cited by 2

Provenance for business events

Hammad, R., & Wu, C. S. (2014) · International Journal of Big Data Intelligence · doi:10.1504/ijbdi.2014.066956 · Cited by 2

Iterative Security Risk Analysis for Network Flows Based on Provenance and Interdependency

Rezvani, M., Ignjatović, A., & Jha, S. K. (2013) · International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT) · doi:10.1109/dcoss.2013.26 · Cited by 2

Using Provenance to Support Good Laboratory Practice in Grid Environments

Ney, M., Kloss, G. K., & Schreiber, A. (2012) · Studies in computational intelligence · doi:10.1007/978-3-642-29931-5_7 · Cited by 2

K-relevance

Huang, J., & Naughton, J. F. (2007) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/1247480.1247500 · Cited by 2

Refurbishing Legacy Biological Workflows SPROUTS Case Study

Acuña, R., Lacroix, Z., & Chomilier, J. (2012) · IEEE World Congress on Services (SERVICES) · doi:10.1109/services.2012.81 · Cited by 2

Dagstuhl Perspectives Workshop Report: Semantic Web Reflections and Future Directions

Domingue, J., & Harth, A. (2010) · Cited by 2

Efficient Responsibility Analysis for Query Answers

Qin, B., Wang, S., & Du, X. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-37487-6_20 · Cited by 2

Decorating the cloud: enabling annotation management in MapReduce

Lu, Y., Li, Y., & Eltabakh, M. Y. (2016) · The VLDB Journal · doi:10.1007/s00778-016-0422-9 · Cited by 2

Discovering Data Lineage from Data Warehouse Procedures

Tomingas, K., Järv, P., & Tammet, T. (2016) · International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management · doi:10.5220/0006054301010110 · Cited by 2

Semi-automatic SQL Debugging and Fixing to solve the Missing-Answers Problem

Tzompanaki, K. (2014) · HAL · Cited by 2

Why-Not and Why Questions on Reverse Top-k Queries

Gao, Y., & Liu, Q. (2017) · SpringerBriefs in computer science · doi:10.1007/978-981-10-6635-1_3 · Cited by 2

Investigando a Mobilidade Urbana Através de Dados Abertos Governamentais Enriquecidos com Proveniência

da Cruz, S. M. S., & Sampaio, J. D. O. (2018) · iSys - Brazilian Journal of Information Systems · doi:10.5753/isys.2018.365 · Cited by 2

An Overview of Techniques for Confirming Big Data Property Rights

Cheng, S., & Zhao, H. (2018) · International Conference on Intelligent Information Technology (ICIIT) · doi:10.1145/3193063.3193069 · Cited by 2

Enabling Smart City Provenance-Based Applications to Improve Urban Mobility in Brazilian Cities

da Cruz, S. M. S., & Costa, R. J. M. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-814242-4.00017-x · Cited by 2

Learning From Query-Answers

Meneghetti, N., Kennedy, O. A., & Gatterbauer, W. (2018) · ACM Transactions on Database Systems · doi:10.1145/3277503 · Cited by 2

Contribution Maximization in Probabilistic Datalog

Milo, T., Moskovitch, Y., & Youngmann, B. (2020) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde48307.2020.00076 · Cited by 2

Data Controllability for Risk Management in Smart and Intelligent Systems

Munier, M., & Lalanne, V. (2020) · Journal of Internet Technology and Secured Transaction · doi:10.20533/jitst.2046.3723.2020.0080 · Cited by 2

Running Experiments with Confidence and Sanity

Aumüller, M., & Ceccarello, M. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-60936-8_31 · Cited by 2

e-LivestockProv: An Architecture based on Provenance to Manage Traceability in Precision Livestock Farming

Gomes, J. S., David, J., Braga, R. M. M., Arbex, W., Barbosa, B., Gomes, W. L., & Fonseca, L. M. G. (2021) · doi:10.5753/opensciense.2021.17145 · Cited by 2

Provenance-Directed Chase&Backchase

Deutsch, A., & Hull, R. B. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-41660-6_11 · Cited by 2

SWfPS: PROPOSIÇÃO DE UM SISTEMA DE PROVENIÊNCIA DE DADOS E PROCESSOS NO DOMÍNIO DE WORKFLOWS CIENTÍFICOS

Valente, W. A. G., Braga, R. M. M., & Campos, F. C. A. (2011) · Revista Eletrônica de Sistemas de Informação · doi:10.5329/resi.2011.1002008 · Cited by 2

A Framework for Analysis of Incompleteness and Security Challenges in IoT Big Data

Kumari, K., & Mrunalini, M. (2022) · International Journal of Information Security and Privacy · doi:10.4018/ijisp.308305 · Cited by 2

Identification of the Relationships Between Data Provenance and Blockchain as a Contributing Factor for Health Information Systems

Sembay, M. J., de Macedo, D. D. J., & Filho, A. A. G. M. (2022) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-031-22324-2_20 · Cited by 2

Big Data Provenance Using Blockchain for Qualitative Analytics via Machine Learning

Khan, K. M., Haider, W., Khan, D. N. A., & Saleem, D. M. (2023) · JUCS - Journal of Universal Computer Science · doi:10.3897/jucs.93533 · Cited by 2

Uma abordagem para suporte à decisão no processo de geração de créditos de carbono em propriedades rurais

Santos, L., David, J., & Braga, R. M. M. (2023) · doi:10.5753/sbsc.2023.229059 · Cited by 2

Ericsogate: Advancing Analytics and Management of Data from Diverse Sources within Ericsson Using Knowledge Graphs

Orogat, A., Vadlamani, S. L., Thomas, D., & El-Roby, A. (2024) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/3627673.3680033 · Cited by 2

Provenance and data-intensive science

Day, M. J. (2005) · Cited by 2

Cost Effective Forward Tracing Data Lineage

Zhang, M., Zhang, X., & Prabhakar, S. (2007) · Purdue e-Pubs (Purdue University System) · Cited by 2

Detecting the Temporal Context of Queries

Kennedy, O. A., Yang, Y., Chomicki, J., Fehling, R., Liu, Z. H., & Gawlick, D. (2015) · Lecture notes in business information processing · doi:10.1007/978-3-662-46839-5_7 · Cited by 2

YQL as a Platform for Linked-Data Wrapper Development

Iturrioz, J., Azpeitia, I., & Díaz, Ó. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-19890-3_23 · Cited by 2

Ontology Based Tracking and Propagation of Provenance Metadata

Vacura, M., & Svátek, V. (2010) · Communications in computer and information science · doi:10.1007/978-3-642-14292-5_49 · Cited by 2

An Approach to Tracking Data Derivation in Information Systems

Shao, J., Ibrahim, M. Y., & Embury, S. M. (2005) · IEEE International Conference on Computer and Information Technology (CIT) · doi:10.1109/cit.2005.63 · Cited by 2

Modeling Evidence-Based Medicine Applications with Provenance Data in Pathways

Yildiz, U., Belhajjame, K., & Grigori, D. (2015) · International Conference on Pervasive Computing Technologies for Healthcare · doi:10.4108/icst.pervasivehealth.2015.260251 · Cited by 2

Provenance threat modeling

Hambolu, O., Yu, L., Oakley, J., Brooks, R. R., Mukhopadhyay, U., & Skjellum, A. (2016) · Conference on Privacy, Security and Trust · doi:10.1109/pst.2016.7906960 · Cited by 2

An interoperable service for the provenance of machine learning experiments

Duarte, J. C., Cavalcanti, M. C., Costa, I. D. S., & Esteves, D. (2017) · IEEE/WIC/ACM International Conference on Web Intelligence · doi:10.1145/3106426.3106496 · Cited by 2

An Approach to Configuration Management of Scientific Workflows

Sirqueira, T. F. M., Braga, R. M. M., Araújo, M. A. P., David, J., Campos, F., & Ströele, V. (2017) · International Journal of Web Portals · doi:10.4018/ijwp.2017070102 · Cited by 2

Capturing and Querying Structural Provenance in Spark with Pebble

Diestelkämper, R., & Herschel, M. (2019) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/3299869.3320225 · Cited by 2

Privacy Aspects of Provenance Queries

Auge, T., Scharlau, N., & Heuer, A. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-80960-7_15 · Cited by 2

Provenance in Spatial Queries

Pintor, P., Costa, R. L. D. C., & Moreira, J. M. (2022) · International Database Engineering and Applications Symposium (IDEAS) · doi:10.1145/3548785.3548802 · Cited by 2

A Multi Agent based Architecture for Data Provenance in Semantic Grid

Jami, S. I., & Shaikh, Z. A. (2008) · Cited by 2

Schema exchange: a template-based approach to data and metadata translation

Papotti, P., & Torlone, R. (2007) · doi:10.5555/1784489.1784520 · Cited by 2

Managing uncertain data

Sarma, A. D. (2010) · Cited by 2

On the Impact of the Metrics Choice in SOM Learning: Some Empirical Results from Financial Data

Resta, M. R. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15393-8_65 · Cited by 2

Workflow-based Services: Infrastructure for Scientific Applications

Heinis, T. (2009) · Repository for Publications and Research Data (ETH Zurich) · doi:10.3929/ethz-a-005884768 · Cited by 2

Managing continuous uncertain data by a probabilisticXML database management system

Scholte, T. (2008) · Cited by 2

Default-all is dangerous!Preprint

Gatterbauer, W., Meliou, A., & Suciu, D. M. (2011) · arXiv (Cornell University) · doi:10.48550/arxiv.1105.4395 · Cited by 2

Supporting annotated Relations

Eltabakh, M. Y., Ouzzani, M., Aref, W. G., Elmagarmid, A. K., & Laura-Silva, Y. (2007) · Purdue e-Pubs (Purdue University System) · Cited by 2

Longitudinal analysis of MRI images in rheumatoid arthritis

Leung, K. K. (2006) · OpenGrey (Institut de l'Information Scientifique et Technique) · Cited by 2

Lahar: warehousing markovian streams

Bałazińska, M., & Letchner, J. (2010) · Cited by 2

Data Semantics Revisited: Databases and the Semantic Web

Borgida, A. T., & Mylopoulos, J. (2004) · Cited by 2

Gerenciamento de dados de proveniência de workflow de bioinformática com banco de dados baseados em grafo

de Almeida, R. P. (2015) · doi:10.26512/2015.06.d.22029 · Cited by 2

AIMS: Agent-based Information Management System.

Kallurkar, S., Steiner, D. D., Johnson, A., & Flo, R. (2006) · Cited by 2

Viewpoint | Personal Data and the Internet of Things: It is time to care about digital provenancePreprint

Pasquier, T., Eyers, D. M., & Bacon, J. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1904.00156 · Cited by 2

Explanation-Based AuditingPreprint

Fabbri, D., & LeFevre, K. (2011) · arXiv (Cornell University) · doi:10.48550/arxiv.1109.6880 · Cited by 2

Beyond Pixels: Image Provenance Analysis Leveraging MetadataPreprint

Bharati, A., Moreira, D., Brogan, J., Hale, P., Bowyer, K. W., Flynn, P. J., Rocha, A. D. R., & Scheirer, W. J. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1807.03376 · Cited by 2

The Rationale of PROVPreprint

Moreau, L., Groth, P., Cheney, J., Lebo, T., & Miles, S. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3198917 · Cited by 2

Sovereign Epistemic Commons under No-Meta GovernancePreprint

Takahashi, K. (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.18997827 · Cited by 2

Conceptual Modeling of Data with Provenance

Archer, D. W. (2000) · doi:10.15760/etd.133 · Cited by 2

Where-provenance for bidirectional editing in spreadsheets

Williams, J., & Gordon, A. D. (2022) · Journal of Computer Languages · doi:10.1016/j.cola.2022.101155 · Cited by 1

Gerenciamento de dados de proveniência em telemedicina e telessaúde

Sembay, M. J., de Macedo, D. D. J., & Filho, A. A. G. M. (2024) · Asklepion Informação em Saúde · doi:10.21728/asklepion.2024v3n1e-89 · Cited by 1

Towards an Integrated Provenance Framework: A Scenario for Marine Data

Auge, T., Feistel, S., Ekaputra, F. J., Klettke, M., Jürgensmann, S., Michels, E., & Waltersdorfer, L. (2024) · IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) · doi:10.1109/eurospw61312.2024.00071 · Cited by 1

W.: A characterization of data provenance

Buneman, P., Khanna, S., & Tan, W.-C. (2001)

Characterizing Data Provenance

Buneman, P. (2000) · Lecture notes in computer science · doi:10.1007/3-540-45033-5_12 · Cited by 1

A study of provenance in databases and improving the usability of provenance database systems

AlOmeir, O. (2015) · cIRcle (University of British Columbia) · doi:10.14288/1.0221370

Provenance in Databases: Why, How, and Where

Cheney, C. J., Chiticariu, L., Tan, W. C., Cheney, J., Chiticariu, L., & Tan, W.-C. (2010)

Data Provenance: Some Basic Issues

Buneman, P., Khanna, S., & Tan, W.-C. (2000) · Lecture notes in computer science · doi:10.1007/3-540-44450-5_6 · Cited by 244