The DOI matches its Crossref record; 16 of the 17 references it cites were found in a registry or an index.
Identifying and Filtering Near-Duplicate Documents
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cites
On the resemblance and containment of documents
Broder, A. (2002) · Compression and Complexity of Sequences (SEQUENCES) · doi:10.1109/sequen.1997.666900 · Cited by 1,818
Self-citationSyntactic clustering of the Web
Broder, A., Glassman, S. C., Manasse, M. S., & Zweig, G. (1997) · Computer Networks and ISDN Systems · doi:10.1016/s0169-7552(97)00031-7 · Cited by 1,348
Self-citationMin-Wise Independent Permutations
Broder, A., Charikar, M., FRIEZE, A. M., & Mitzenmacher, M. (2000) · Journal of Computer and System Sciences · doi:10.1006/jcss.1999.1690 · Cited by 812
Self-citationFinding similar files in a large file system
Manber, U. (1994) · Cited by 597
Copy detection mechanisms for digital documents
Brin, S., Davis, J., & García-Molina, H. (1995) · Proceedings of the 1995 ACM SIGMOD international conference on Management of data - SIGMOD '95 · doi:10.1145/223784.223855 · Cited by 479
A technique for measuring the relative size and overlap of public Web search engines
Bharat, K. A., & Broder, A. (1998) · Computer Networks and ISDN Systems · doi:10.1016/s0169-7552(98)00127-5 · Cited by 392
Self-citationMin-wise independent permutations (extended abstract)
Broder, A., Charikar, M., FRIEZE, A. M., & Mitzenmacher, M. (1998) · ACM Symposium on Theory of Computing (STOC) · doi:10.1145/276698.276781 · Cited by 364
Self-citation(1995) · Cited by 296
Some applications of Rabin’s fingerprinting method
Broder, A. (1993) · Springer eBooks · doi:10.1007/978-1-4613-9323-8_11 · Cited by 204
Self-citationBuilding a scalable and accurate copy detection mechanism
Shivakumar, N., & García-Molina, H. (1996) · ACM international conference on Digital libraries · doi:10.1145/226931.226961 · Cited by 161
Research works printed but not linked: 2
- A. Z. Broder and U. Feige. Min-Wise versus Linear Independence. In Proceedings of the Eleventh Annual ACM-SI AM Symposium on Discrete Algorithms, pages 147–154, 2000.
- N. Heintze. Scalable Document Fingerprinting. Proceedings of the Second USENIX Workshop on Electronic Commerce, pages 191–200, 1996.
Cited by
Sorted by citations
Items 201–300 of 397
Applying Delta Compression to Packed Datasets for Efficient Data Reduction
Zhang, Y., Jiang, H., Wang, C., Huang, W., Chen, M., Zhang, Y., & Le, Z. (2023) · IEEE Transactions on Computers · doi:10.1109/tc.2023.3318404 · Cited by 5
Privacy support in people-centric sensing
Becchetti, L., Filipponi, L., & Vitaletti, A. (2012) · Journal of Communications · doi:10.4304/jcm.7.8.606-621 · Cited by 5
Scalable community discovery from multi-faceted graphs
Metwally, A., Pan, J.-Y., Doan, M., & Faloutsos, C. (2015) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata.2015.7363859 · Cited by 5
Generating P4 Dataplanes Using LLMs
Dumitru, M.-V., Bădoiu, V.-A., Gherghescu, A. M., & Raiciu, C. (2024) · IEEE International Conference on High Performance Switching and Routing (HPSR) · doi:10.1109/hpsr62440.2024.10635926 · Cited by 5
SizeSpotSigs: An Effective Deduplicate Algorithm Considering the Size of Page Content
Mao, X.-L., Liu, X., Di, N., Li, X., & Yan, H. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-20841-6_44 · Cited by 5
Distance queries from sampled data
Cohen, E. (2014) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/2623330.2623680 · Cited by 5
Content-Based Element Search for Presentation Slide Reuse
ZHANG, J., Xiao, C., Watanabe, T., & Ishikawa, Y. (2014) · IEICE Transactions on Information and Systems · doi:10.1587/transinf.2014edp7023 · Cited by 5
de Groc, C., Tannier, X., & Couto, J. (2011) · Cited by 6
Web Search Engines:: Practice and Experience
Gerasoulis, A. (2014) · Chapman & Hall/CRC eBooks · doi:10.1201/b16812-58 · Cited by 5
Privacy Preserving Probabilistic Record Linkage Using Locality Sensitive Hashes
Lazrig, I., Ong, T. C., Ray, I., Ray, I., & Kahn, M. G. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-41483-6_5 · Cited by 5
A High-performance Post-deduplication Delta Compression Scheme for Packed Datasets
Zhang, Y., Jiang, H., Shi, M., Wang, C., Jiang, N., & Wu, X. (2021) · IEEE International Conference on Computer Design: VLSI in Computers and Processors (ICCD) · doi:10.1109/iccd53106.2021.00078 · Cited by 5
Efficient Outlier Detection in Hyperedge Streams Using MinHash and Locality-Sensitive Hashing
Ranshous, S., Chaudhary, M. S., & Samatova, N. F. (2017) · Studies in computational intelligence · doi:10.1007/978-3-319-72150-7_9 · Cited by 6
Detecting Near-Duplicate Relations in User Generated Forum Content
Muthmann, K., & Löser, A. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-16961-8_96 · Cited by 5
A Heterogeneous High-Dimensional Approximate Nearest Neighbor Algorithm
Dubiner, M. (2012) · IEEE Transactions on Information Theory · doi:10.1109/tit.2012.2204169 · Cited by 5
DeFFS: Duplication-eliminated flash file system
Lim, S. (2011) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2011.06.007 · Cited by 5
Collaborative extensions for the UpLib system
Janssen, W. C. (2004) · ACM/IEEE Joint Conference on Digital Libraries · doi:10.1145/996350.996404 · Cited by 5
Röhling, S., & Morgenstern, B. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/527515 · Cited by 5
aiXcoder-7B: A Lightweight and Effective Large Language Model for Code CompletionPreprint
Jiang, S., Li, J., Zong, H., Liu, H., Zhu, H., Hu, S., Li, E. M., Ding, J., Han, Y., Ning, W., et al. (2024) · Qeios · doi:10.32388/atahd0 · Cited by 6
Nwaiwu, S., Jongsawat, N., & Tungkasthan, A. (2025) · Results in Engineering · doi:10.1016/j.rineng.2025.107783 · Cited by 6
A novel approach to capture the similarity in summarized text using embedded model
Mishra, A. R., & Panchal, V. (2022) · International Journal on Smart Sensing and Intelligent Systems · doi:10.2478/ijssis-2022-0002 · Cited by 4
Wang, C., Wang, K. Q., Li, M., Wei, F., & Xiong, N. N. (2024) · IET Communications · doi:10.1049/cmu2.12719 · Cited by 4
Ego-Network Segmentation via (Weighted) Jaccard Median
Zhong, H., Loukides, G., Conte, A., & Pissis, S. P. (2024) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2024.3373712 · Cited by 4
From text to translation: using language models to prioritize variants for clinical review
Li, W., Li, X., Lavallee, E., Saparov, A., Žitnik, M., & Cassa, C. A. (2026) · Genome Medicine · doi:10.1186/s13073-026-01661-7 · Cited by 5
Maintaining k -MinHash Signatures over Fully-Dynamic Data Streams with Recovery
Clementi, A. E. F., Gualà, L., Sciarria, L. P., & Straziota, A. (2025) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/3701551.3703491 · Cited by 4
Jarrous, A., & Benny Pinkas, B. (2013) · International Journal of Applied Cryptography · doi:10.1504/ijact.2013.053433 · Cited by 4
Re-ranking question search results by clustering questions
Cao, Y., Duan, H., Lin, C.-Y., & Yu, Y. H. (2011) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21529 · Cited by 4
MapReduce Analysis for Cloud-Archived Data
Palanisamy, B., Singh, A., Mandagere, N., Alatorre, G., & Liu, L. (2014) · IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) · doi:10.1109/ccgrid.2014.13 · Cited by 4
Improved deduplication through parallel Binning
Zhang, Z., Bhagwat, D., Litwin, W., Long, D. D. E., & Schwarz, T. (2012) · IEEE International Performance, Computing, and Communications Conference · doi:10.1109/pccc.2012.6407746 · Cited by 4
Estimating set intersection using small samples
Köehler, H. (2010) · Cited by 4
Reducing Redundant Information in Search Results Employing Approximation Algorithms
Makris, C. H., Plegas, Y., Stamatiou, Y. C., Stavropoulos, E. C., & Tsakalidis, A. K. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10085-2_22 · Cited by 4
d-k-min-wise independent family of hash functions
Feigenblat, G., Porat, E., & Shiftan, A. (2016) · Journal of Computer and System Sciences · doi:10.1016/j.jcss.2016.09.005 · Cited by 4
Information content measures of semantic similarity between documents based on Hadoop system
Birjali, M., Beni‐Hssane, A., Erritali, M., & Madani, Y. (2016) · International Conference on Wireless Networks and Mobile Communications (WINCOM) · doi:10.1109/wincom.2016.7777212 · Cited by 4
Text Deduplication with Minimum Loss Ratio
Ge, Y., Wu, J., Dai, G., & Liu, Y. (2019) · International Conference on Machine Learning and Computing (ICMLC) · doi:10.1145/3318299.3318369 · Cited by 4
On Bias-free Crawling and Representative Web Corpora
Schäfer, R. (2016) · Web as Corpus Workshop (WaC) · doi:10.18653/v1/w16-2612 · Cited by 4
Allen, R. B., & Johnson, K. A. (2008) · The Electronic Library · doi:10.1108/02640470810879527 · Cited by 4
Detecting Text Similarity over Chinese Research Papers Using MapReduce
Xu, F., Zhu, Q., & Li, P. (2011) · ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) · doi:10.1109/snpd.2011.29 · Cited by 4
f-Fractional Bit Minwise Hashing
Yuan, X., Long, J., Zhang, Z., Luo, Y., Zhang, H., & Gui, W. (2012) · Journal of Software · doi:10.4304/jsw.7.1.228-236 · Cited by 4
Query Based Duplicate Data Detection on WWW
Gupta, R., Duhan, N., Sharma, A. K., & Aggarwal, N. (2013) · Cited by 4
Near Duplicate Document Detection for Large Information Flows
Montanari, D., & Puglisi, P. L. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-32498-7_16 · Cited by 4
Efficient near duplicate document detection for specialized corpora
Seshasai, S. (2009) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 4
The method of automatic summarization from different sourcesPreprint
Shakhovska, N., & Cherna, T. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1905.02623 · Cited by 4
Cohen, E. (2016) · Encyclopedia of Algorithms · doi:10.1007/978-1-4939-2864-4_576 · Cited by 4
Zhou, X., Weyssow, M., Widyasari, R., Zhang, T., He, J., Lyu, Y., Chang, J., Zhang, B., Huang, D., & Lo, D. (2025) · arXiv · doi:10.48550/arxiv.2502.06215 · Cited by 3
The Design of a High-Performance Fine-Grained Deduplication Framework for Backup Storage
Zou, X., Xia, W., Shilane, P., Zhang, H., & Wang, X. (2025) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2025.3551306 · Cited by 3
Palmini, M.-T. D. R., & Cetinic, E. (2025) · Conference on Fairness, Accountability and Transparency · doi:10.1145/3715275.3732158 · Cited by 6
Detecting VoIP Data Streams: Approaches Using Hidden Representation Learning
Kapoor, M., Napolitano, M., Quance, J., Moyer, T., & Krishnan, S. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v37i13.26840 · Cited by 3
A fragmentation-aware redundancy elimination scheme for inline backup systems
Zhang, Y., Zhu, W., Feng, D., Huang, W., Jiang, N., Chen, M., & Xia, R. (2024) · Future Generation Computer Systems · doi:10.1016/j.future.2024.03.004 · Cited by 3
Zeng, D., Tian, W., He, T., Li, R., Ye, X., & Xu, Z. (2024) · IEEE Transactions on Cloud Computing · doi:10.1109/tcc.2024.3514784 · Cited by 3
Aligning LLMs to Fully Utilize the Cross-file Context in Repository-level Code Completion
Li, J., Zhu, H., Liu, H., Xianjie, S., Zong, H., Dong, Y., Zhang, K., Jiang, S., Jin, Z. G., & Li, G. (2025) · IEEE/ACM International Conference on Automated Software Engineering (ASE) · doi:10.1109/ase63991.2025.00125 · Cited by 3
COCA Filters: Co-occurrence Aware Bloom Filters
Tirdad, K., Ghodsnia, P., Munro, J. I., & López-Ortíz, A. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-24583-1_31 · Cited by 3
Gurrutxaga, A., Leturia, I., Saralegi, X., & Vicente, I. S. (2013) · Springer eBooks · doi:10.1007/978-3-642-20128-8_3 · Cited by 3
Efficient Diverse Rank of Hot-Topics-Discussion on Social Network
Zhu, T., Lin, Y., Cheng, J., & Wang, X. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-08010-9_58 · Cited by 3
A Comprehensive Study of Present Data Deduplication
Xue, Z., Qian, H., Shen, L., & Wu, X. (2021) · IEEE International Conference on High Performance Computing and Communications; IEEE International Conference on Smart City; IEEE International Conference on Data Science and Systems (HPCC/SmartCity/DSS) · doi:10.1109/hpcc-dss-smartcity-dependsys53884.2021.00257 · Cited by 3
Emerging trends: Deep nets thrive on scale
Church, K. (2022) · Natural Language Engineering · doi:10.1017/s1351324922000365 · Cited by 3
Xiao, L., Zou, B., & Kui, X. (2023) · IEEE Systems Journal · doi:10.1109/jsyst.2023.3253690 · Cited by 4
Overview of fingerprinting methods for local text reuse detection
Lulu, L., Belkhouche, B., & Harous, S. (2016) · International Conference on Innovations in Information Technology · doi:10.1109/innovations.2016.7880050 · Cited by 3
Bury, M., Schwiegelshohn, C., & Sorella, M. (2018) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/3159652.3159694 · Cited by 3
Detecting Near Duplicate Dataset
Chevallier, M., Rogovschi, N., Boufarès, F., Grozavu, N., & Clairmont, C. (2022) · Lecture notes in networks and systems · doi:10.1007/978-3-030-96302-6_36 · Cited by 3
Near-duplicate document detection with improved similarity measurement
Yuan, X., Long, J., Zhang, Z., & Gui, W. (2012) · Journal of Central South University · doi:10.1007/s11771-012-1267-z · Cited by 3
CentralMatch: A Fast and Accurate Method to Identify Blog-Duplicates
Park, H., Lee, S., Lee, S.-H., & Kim, S. (2010) · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) · doi:10.1109/wi-iat.2010.98 · Cited by 3
Hierarchical clustering of large text datasets using Locality-Sensitive Hashing
Blekanov, I. S., & Корелин, В. Н. (2015) · Research Repository Saint Petersburg State University (Saint Petersburg State University) · Cited by 3
Rapid Screening of Big Data Against Inadvertent Leaks
Shu, X., Liu, F., & Yao, D. D. (2016) · Springer eBooks · doi:10.1007/978-3-319-27763-9_5 · Cited by 3
Private proximity detection using partial GPS information
Heng, L., Kumar, A. R., & Gao, G. (2016) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2016.150301 · Cited by 3
Hashing-basierte Indizierung: Anwendungsszenarien, Theorie und Methoden
Stein, B., & Potthast, M. (2006) · HilDok – Institutional Repository (Universität Hildesheim) · Cited by 3
Even Better Framework for min-wise Based AlgorithmsPreprint
Feigenblat, G., Porat, E., & Shiftan, A. (2011) · arXiv (Cornell University) · doi:10.48550/arxiv.1102.3537 · Cited by 3
Temporal Shingling for Version Identification in Web Archives
Schenkel, R. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-12275-0_44 · Cited by 3
Data Leak Detection As a Service: Challenges and Solutions
Shu, X., & Yao, D. D. (2012) · VTechWorks (Virginia Tech) · Cited by 3
Horse-MinHash: High-Performance and Secure Jaccard Similarity Estimation for Cloud Storage
Xie, Z., Tian, W., Li, R., Lu, J., Xiao, W., & Xu, Z. (2025) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2025.3589859 · Cited by 2
Gong, L., Cao, W., Wang, J., Su, Z., & Li, J. (2026) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2026.3685971 · Cited by 2
Sarma, A. D. (2010) · Cited by 2
Information Retrieval and Analysis for a Modern Organization
Topchyan, A. R. (2016) · Proceedings of the Institute for System Programming of RAS · doi:10.15514/ispras-2016-28(4)-1 · Cited by 2
Khan, L., Ahmed, M., & Almistarihi, H. (2019) · International journal of intelligent engineering and systems · doi:10.22266/ijies2019.0831.23 · Cited by 2
Benchmarking Near-Duplicate Detection in the era of Pay-walled News
Kumar, A., Tumre, S., & Patil, S. (2025) · International World Wide Web Conference (WWW) · doi:10.1145/3701716.3715303 · Cited by 2
Approximate 2-hop Neighborhoods on Incremental Graphs: An Efficient Lazy Approach
Becchetti, L., Clementi, A. E. F., Gualà, L., Sciarria, L. P., Straziota, A., & Stromieri, M. (2025) · Proceedings of the VLDB Endowment · doi:10.14778/3749646.3749665 · Cited by 2
Retrieval-Technologien für die Plagiaterkennung in Programmen
Loose, F., Becker, S., Potthast, M., & Stein, B. (2008) · LWA · Cited by 2
Weighted shingling: an adaptation of shingling for weighted shingles
Gharghe, Z. E., & Bidgoli, B. M. (2009) · International Conference on Innovations in Information Technology · doi:10.1109/iit.2009.5413370 · Cited by 2
De-duplicating a large crowd-sourced catalogue of bibliographic records
Subašić, I., Gvozdenović, N., & Jack, K. (2016) · Data Technologies and Applications · doi:10.1108/prog-02-2015-0021 · Cited by 2
OPO: Online public opinion analysis system over text streams
Yuan, C., Lin, H., Zhang, X., Liu, C., & Wang, L. (2017) · International Conference on Service Systems and Service Management · doi:10.1109/icsssm.2017.7996299 · Cited by 2
Expelliarmus: Semantic-centric virtual machine image management in IaaS Clouds
Saurabh, N., Benedict, S., Barbosa, J. G., & Prodan, R. (2020) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2020.08.001 · Cited by 2
General-purpose GPU hashing data structures and their application in accelerated genomics
Jünger, D., Kobus, R., Müller, A., Hundt, C., Xu, K., Liu, W., & Schmidt, B. (2022) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2022.01.006 · Cited by 2
Training Data Improvement by Automatic Generation of Semantic Networks for Bias Mitigation
Englert, R. A., & Muschiol, J. (2022) · American Journal of Information Science and Technology · doi:10.11648/j.ajist.20220601.11 · Cited by 3
Stockem, A., & Gedikli, F. (2023) · IEEE International Conference on Semantic Computing (ICSC) · doi:10.1109/icsc56153.2023.00054 · Cited by 2
Minwise-Independent Permutations with Insertion and Deletion of Features
Pratap, R., & Kulkarni, R. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-46994-7_15 · Cited by 2
CAREx: context-aware read extension of paired-end sequencing data
Kallenborn, F., & Schmidt, B. (2024) · BMC Bioinformatics · doi:10.1186/s12859-024-05802-w · Cited by 2
Online Deduplication for Distributed Databases
Xu, L. (2016) · KiltHub Repository · doi:10.1184/r1/6720935 · Cited by 2
Efficient Compression Algorithm for Multimedia Data
Pratap, R., Revanuru, K., Anirudh, R., & Kulkarni, R. (2020) · IEEE International Conference on Multimedia Big Data · doi:10.1109/bigmm50055.2020.00042 · Cited by 2
RNACache: Fast Mapping of RNA-Seq Reads to Transcriptomes Using MinHashing
Cascitti, J., Niebler, S., Müller, A., & Schmidt, B. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-77961-0_31 · Cited by 2
Incentives for Item Duplication Under Fair Ranking Policies
Nunzio, G. M. D., Fabris, A., Silvello, G., & Susto, G. A. (2021) · Communications in computer and information science · doi:10.1007/978-3-030-78818-6_7 · Cited by 2
SpotSigs: Near Duplicate Detection in Web Page Collections
Siddharth, J., & Paepcke, A. (2007) · Cited by 2
Estimating Aggregates over Multiple Sets
Cohen, E., & Kaplan, H. Y. (2008) · Proceedings · doi:10.1109/icdm.2008.110 · Cited by 2
Genomic neighbor typing for bacterial outbreak surveillancePreprint
Steinig, E. J., Pitt, M. E., Aglua, I., Suttie, A., Greenhill, A. R., Heather, C. S., Firth, C., Smith, S., Pomat, W. S., Horwood, P. F., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.02.05.479210 · Cited by 2
Automatic (near-) duplicate content document detection in a cancer registry
Niemi, T., Ghobril, J.-P., Défossez, G., Germann, S., Martin, E., & Bulliard, J. (2025) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2025.105799 · Cited by 1
Achieving Better Benefits via Flexible Feature Matching in Post-Deduplication Delta Compression
Yang, F., Mao, B., Liu, Y., Bao, L., Jiang, W., Zhang, D., Li, C., & Zhou, K. (2025) · IEEE International Parallel and Distributed Processing Symposium (IPDPS) · doi:10.1109/ipdps64566.2025.00093 · Cited by 1
The Logic of Fingerprint Upgrade in Deduplicated Storage
Deng, C., Chen, B., Shilane, P., Zou, X., Xia, W., & Hu, H. (2025) · IEEE International Conference on Computer Design: VLSI in Computers and Processors (ICCD) · doi:10.1109/iccd65941.2025.00073 · Cited by 1
MatcHEd: Privacy-Preserving Set Similarity Based on MinHash
Shokri, R., Gouert, C., & Tsoutsos, N. G. (2026) · IEEE Transactions on Emerging Topics in Computing · doi:10.1109/tetc.2025.3648749 · Cited by 1
Sustainability-aware evaluation metrics for recommender systems
Felfernig, A., Garber, D., Helić, D., Le, V.-M., Lubos, S., & Tran, T. N. T. (2026) · Journal of Intelligent Information Systems · doi:10.1007/s10844-026-01045-8 · Cited by 1
Computing rarity on uncertain data
Jin, C., Zhou, M., & Zhou, A. (2011) · Science China Information Sciences · doi:10.1007/s11432-011-4378-5 · Cited by 1
Collaborative Data Gathering in Wireless Sensor Networks Using Measurement Co-Occurrence
Kalpakis, K., & Tang, S. (2007) · doi:10.1109/sensorcomm.2007.35 · Cited by 1
The Chinese Duplicate Web Pages Detection Algorithm based on Edit Distance
An, J., & Cheng, P. (2013) · Journal of Software · doi:10.4304/jsw.8.7.1666-1670 · Cited by 1
Combating web plagiarism and improving internet safety by authenticating web content
Pathak, V. (2010) · Cited by 1
Metadata
- Authors
- Broder, A. Z.
- Corresponding author
- Broder, Andrei Z.
- ORCID
- Broder, Andrei Z.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2000
- Pages
- 1-10
- ISSN
- 0302-9743 (ISSN-L)
- OpenAlex
- W2148885851
- Cited by
- 395
- References
- 17
- Citations by year
- 2026: 15 · 2025: 18 · 2024: 12 · 2023: 11 · 2022: 19 · 2021: 18 · 2020: 12 · 2019: 14 · 2018: 11 · 2017: 13 · 2016: 31 · 2015: 23 · 2014: 20 · 2013: 28 · 2012: 29
- FWCI
- 0.85
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Theoretical Computer Science › Algorithms and Data Compression
- Physical Sciences › Computer Science › Information Systems › Data Quality and Management
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Keywords
- near-duplicate detection, document filtering, random sampling, sketching, web indexing, search engine indexing, AltaVista
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review