The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Data Mining: Concepts, Models, Methods, and Algorithms
Open accessAbstract
This book reviews state-of-the-art methodologies and techniques for analyzing enormous quantities of raw data in high-dimensional data spaces, to extract new information for decision making. Thegoal of this book is toprovide a single introductory source, organized in a systematic way, in which we could direct the readers in analysis of large data sets, through the explanation of basic concepts, models and methodologies developed in recent decades.
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Cites
Data mining: concepts and techniques
(2012) · Choice Reviews Online · doi:10.5860/choice.49-3305 · Cited by 28,531
Data mining: practical machine learning tools and techniques with Java implementations
Witten, I. H., & Frank, E. (2002) · ACM SIGMOD Record · doi:10.1145/507338.507355 · Cited by 5,137
Hand, D. J., Mannila, H., & Smyth, P. (2001) · Cited by 2,581
Hand, D. J. (2007) · Drug Safety · doi:10.2165/00002018-200730070-00010 · Cited by 1,044
Building Data Mining Applications for CRM
Berson, A., Smith, S. J., & Thearling, K. (1999) · University of Maribor digital library (University of Maribor) · Cited by 594
Solving Data Mining Problems Through Pattern Recognition
Reed, C., Lee, Y.-C., & Roy, B. V. (1997) · Cited by 89
Research works printed but not linked: 5
- 10.1198/tech.2001.s42 · doi:10.1198/tech.2001.s42
- Ziegel E., 1990, Technometrics, 32, 466
- Ziegel E., 1993, Technometrics, 35, 100
- Ziegel E., 1993, Technometrics, 35, 464
- Ziegel E., 1998, Technometrics, 40, 83
Cited by
Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation
Wong, T.-T. (2015) · Pattern Recognition · doi:10.1016/j.patcog.2015.03.009 · Cited by 1,562
Chen, W., Xie, X., Wang, J., Pradhan, B., Hong, H., Bui, D. T., Duan, Z., & Ma, J. (2017) · CATENA · doi:10.1016/j.catena.2016.11.032 · Cited by 930
Epileptic Seizure Detection in EEGs Using Time–Frequency Analysis
Tzallas, A. T., Tsipouras, M. G., & Fotiadis, D. I. (2009) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2009.2017939 · Cited by 744
Big Data in the construction industry: A review of present status, opportunities, and future trends
Bilal, M., Oyedele, L. O., Qadir, J., Munir, K., Ajayi, S. O., Akinade, O. O., Owolabi, H. A., Alaka, H. A., & Pasha, M. (2016) · Advanced Engineering Informatics · doi:10.1016/j.aei.2016.07.001 · Cited by 734
Data Mining techniques for the detection of fraudulent financial statements
KIRKOS, E., SPATHIS, C., & MANOLOPOULOS, Y. (2007) · Expert Systems with Applications · doi:10.1016/j.eswa.2006.02.016 · Cited by 722
Metadata
- Venue
- Technometrics
- Publisher
- Informa UK Limited
- Published
- 2003-08
- Volume
- 45
- Issue
- 3
- Pages
- 277-277
- ISSN
- 0040-1706 (ISSN-L)
- 1537-2723
- OpenAlex
- W2153736474
- Cited by
- 1,369
- References
- 6
- FWCI
- 87.26
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
