A Data Mining methodology for cross-sales
Open accessIntegrity signals
Registry
Cites
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Market-basket analysis allows researchers to ask what elements of the technology are often used together.
“Market-basket analysis allows researchers to ask what elements of the technology are often used together [36].”
From Opening the Black Box of Electronic Health: Collecting, Analyzing, and Interpreting Log Data (2017) · cites this paper as [36]
Cites
Fast Algorithms for Mining Association Rules in Large Databases
Agrawal, R., & Srikant, R. (1994) · Very Large Data Bases · Cited by 9,454 · see citing works
Agrawal, R., & Srikant, R. (2002) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde.1995.380415 · Cited by 5,150 · see citing works
Advances in knowledge discovery and data mining
(1996) · Computers & Mathematics with Applications · doi:10.1016/s0898-1221(96)90007-3 · Cited by 2,996 · see citing works
Database mining: a performance perspective
Agrawal, R., Imieliński, T., & Swami, A. (1993) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/69.250074 · Cited by 1,514 · see citing works
The interestingness of deviations
Piatetsky-Shapiro, G., & Matheus, C. J. (1994) · Cited by 213 · see citing works
Evaluating the interestingness of characteristic rules
Kamber, M., & Shinghal, R. (1996) · Knowledge Discovery and Data Mining · Cited by 91 · see citing works
Decision support using data mining
Anand, S. S., & Büchner, A. G. (1998) · Cited by 89 · see citing works
Self-citationDesigning a kernel for data mining
Anand, S. S., Scotney, B. W., Tan, M., et al. (1997) · IEEE Expert · doi:10.1109/64.585106 · Cited by 49 · see citing works
Self-citationAn application of KEFIR to the analysis of healthcare information
Matheus, C. J., Piatetsky-Shapiro, G., & McNeill, D. (1994) · Cited by 23 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Syam, N., & Sharma, A. (2018) · Industrial Marketing Management · doi:10.1016/j.indmarman.2017.12.019 · Cited by 852 · see citing works
A survey of Knowledge Discovery and Data Mining process models
KURGAN, L. A., & MUSILEK, P. (2006) · The Knowledge Engineering Review · doi:10.1017/s0269888906000737 · Cited by 391 · see citing works
Opening the Black Box of Electronic Health: Collecting, Analyzing, and Interpreting Log Data
Sieverink, F., Kelders, S., Poel, M., & van Gemert-Pijnen, L. (2017) · JMIR Research Protocols · doi:10.2196/resprot.6452 · Cited by 88 · see citing works
- Authors
- Anand, S. S., Patrick, A. R., Hughes, J. G., & Bell, D. A.
- Affiliations
- University of Ulster (GB)
- Corresponding author
- Anand, S.S.
- Venue
- Knowledge-Based Systems
- Publisher
- Elsevier BV
- Published
- 1998-05
- Volume
- 10
- Issue
- 7
- Pages
- 449-461
- ISSN
- 0950-7051 (ISSN-L)
- OpenAlex
- W2123140957
- Cited by
- 72
- References
- 9
- Citations by year
- 2025: 2 · 2022: 6 · 2021: 2 · 2020: 5 · 2019: 1 · 2018: 2 · 2017: 7 · 2016: 3 · 2015: 4 · 2013: 2 · 2012: 3
- FWCI
- 9.09
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Knowledge-Based Systems (publishedVersion)
- University of Warwick (cc-by)
- Topics
- Physical Sciences › Computer Science › Information Systems › Data Mining Algorithms and Applications
- Physical Sciences › Computer Science › Information Systems › Data Mining and Machine Learning Applications
- Social Sciences › Business, Management and Accounting › Marketing › Customer churn and segmentation
- Keywords
- cross-selling, deviation detection, interestingness measures, domain knowledge, data enrichment, rule filtering, financial services, customer relationship management
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 ›
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