Abstract
This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms are among the most influential data mining algorithms in the research community. With each algorithm, we provide a description of the algorithm, discuss the impact of the algorithm, and review current and further research on the algorithm. These 10 algorithms cover classification, clustering, statistical learning, association analysis, and link mining, which are all among the most important topics in data mining research and development.
Information & Contributors
Information
Published In
Knowledge and Information Systems Volume 14, Issue 1
December 2007
137 pages
ISSN:0219-1377
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 19 December 2007
Qualifiers
- Article
Contributors
Other Metrics
View Article Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations
740
Total Citations
Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 10 Sep 2024
Other Metrics
View Author Metrics
Citations
Cited By
- Gelauff LGoel A(2024)Opinion Change or Differential Turnout: Changing Opinions on the Austin Police Department in a Budget Feedback ProcessDigital Government: Research and Practice10.1145/36648225:3(1-32)Online publication date: 13-Sep-2024
- Capariño E(2024)Improving kNN Classification Performance with Correlated Attribute Imputation MechanismProceedings of the 2024 9th International Conference on Intelligent Information Technology10.1145/3654522.3654547(287-294)Online publication date: 23-Feb-2024
- Hamid NHong JPark J(2024)(Nearest) Neighbors You Can Rely On: Formally Verified k-d Tree Construction and Search in CoqProceedings of the 39th ACM/SIGAPP Symposium on Applied Computing10.1145/3605098.3635960(1684-1693)Online publication date: 8-Apr-2024
- Zulu JHan BAlsmadi ILiang GLo DGamess E(2024)Enhancing Machine Learning Based SQL Injection Detection Using Contextualized Word EmbeddingProceedings of the 2024 ACM Southeast Conference10.1145/3603287.3651187(211-216)Online publication date: 18-Apr-2024
- Geng MWu YLi YLiu JFournier-Viger PZhu XWu X(2024)RNP-Miner: Repetitive Nonoverlapping Sequential Pattern MiningIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2023.333430036:9(4874-4889)Online publication date: 1-Sep-2024
- Ghamdi MParr GWang W(2024)Heterogeneous Machine Learning Ensembles for Predicting Train DelaysIEEE Transactions on Intelligent Transportation Systems10.1109/tit*.2023.333785825:6(5138-5153)Online publication date: 1-Jan-2024
- Nguyen BXue BZhang M(2024)A Constrained Competitive Swarm Optimizer With an SVM-Based Surrogate Model for Feature SelectionIEEE Transactions on Evolutionary Computation10.1109/TEVC.2022.319742728:1(2-16)Online publication date: 1-Feb-2024
- Olkiewicz MDyczkowska JChamier-Gliszczynski NKrólikowski T(2024)Quality management in organizations within the framework of standardized management systemsProcedia Computer Science10.1016/j.procs.2023.10.406225:C(4101-4109)Online publication date: 4-Mar-2024
- Martín-Lorenzo AExpósito-Márquez ALópez-Plata IExpósito-Izquierdo CCastilla-Rodríguez I(2024)Decision-support system for the management of truck stays at seaportsProcedia Computer Science10.1016/j.procs.2023.10.099225:C(1114-1123)Online publication date: 4-Mar-2024
- Ping YLi HHao BGuo CWang B(2024)Beyond k-Means++Pattern Recognition10.1016/j.patcog.2023.110036146:COnline publication date: 1-Feb-2024
- Show More Cited By
View Options
View options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Full Access
Media
Figures
Other
Tables