The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Advances in frequent itemset mining implementations: report on FIMI'03
Abstract
article Advances in frequent itemset mining implementations: report on FIMI'03 Share on Authors: Bart Goethals University of Helsinki, Finland University of Helsinki, FinlandView Profile , Mohammed J. Zaki Rensselaer Polytechnic Institute, Troy, New York Rensselaer Polytechnic Institute, Troy, New YorkView Profile Authors Info & Claims ACM SIGKDD Explorations NewsletterVolume 6Issue 1June 2004 pp 109–117https://doi.org/10.1145/1007730.1007744Online:01 June 2004Publication History 159citation759DownloadsMetricsTotal Citations159Total Downloads759Last 12 Months15Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Mining association rules between sets of items in large databases
Agrawal, R., Imieliński, T., & Swami, A. (1993) · Proceedings of the 1993 ACM SIGMOD international conference on Management of data · doi:10.1145/170035.170072 · Cited by 14,907
Mining frequent patterns without candidate generation
Han, J., Pei, J., & Yin, Y. (2000) · ACM SIGMOD Record · doi:10.1145/335191.335372 · Cited by 6,402
Set-oriented mining for association rules in relational databases
Houtsma, M., & Swami, A. (2002) · Proceedings of the Eleventh International Conference on Data Engineering · doi:10.1109/icde.1995.380413 · Cited by 263
Cited by
Frequent pattern mining: current status and future directions
Han, J., Cheng, H., Xin, D., & Yan, X. (2007) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-006-0059-1 · Cited by 1,380
A distributed frequent itemset mining algorithm using Spark for Big Data analytics
Zhang, F., Liu, M., Gui, F., Shen, W., Shami, A., & Ma, Y. (2015) · Cluster Computing · doi:10.1007/s10586-015-0477-1 · Cited by 87
Metadata
- Authors
- Goethals, B., & Zaki, M. J.
- Venue
- ACM SIGKDD Explorations Newsletter
- Published
- 2004-06
- Volume
- 6
- Issue
- 1
- Pages
- 109-117
- ISSN
- 1931-0145 (ISSN-L)
- 1931-0153
- OpenAlex
- W2061779725
- Cited by
- 240
- References
- 3
- FWCI
- 59.44
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Advances in frequent itemset mining implementations: report on FIMI'03. https://app.cochat.ai/papers/10.1145/1007730.1007744
- The paper
- Goethals, B., & Zaki, M. J. (2004). Advances in frequent itemset mining implementations: report on FIMI'03. ACM SIGKDD Explorations Newsletter. https://doi.org/10.1145/1007730.1007744
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
