No abstract available.
Cited By
- Kyun D, Sohn S and Kim J (2009). Multi-level association rules for MP3P marketing strategies based on extensive marketing survey data, Expert Systems with Applications: An International Journal, 36:9, (11582-11588), Online publication date: 1-Nov-2009.
- Smith G, Tan D and Lee B iSee Proceedings of the International Conference on Advances in Computer Entertainment Technology, (190-197)
- Goh Y, Giess M and McMahon C (2009). Facilitating design learning through faceted classification of in-service information, Advanced Engineering Informatics, 23:4, (497-511), Online publication date: 1-Oct-2009.
- Chang C, Chu C and Yeh Y (2009). Integrating in-process software defect prediction with association mining to discover defect pattern, Information and Software Technology, 51:2, (375-384), Online publication date: 1-Feb-2009.
- Tong C, Sharma D and Shadabi F A Multi-agents Approach to Knowledge Discovery Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03, (571-574)
- Hung C and Tsai C (2008). Market segmentation based on hierarchical self-organizing map for markets of multimedia on demand, Expert Systems with Applications: An International Journal, 34:1, (780-787), Online publication date: 1-Jan-2008.
- Chang C and Chu F Applying data mining and XML technology to build a web-based house trading and matching system Proceedings of the 7th WSEAS International Conference on Simulation, Modelling and Optimization, (110-115)
- Tang M, Zhang Y and Zhang G Type-2 Fuzzy Web Shopping Agents Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence, (499-503)
- Nocke T, Schumann H, Böhm U and Flechsig M Next generation modeling I Proceedings of the 35th conference on Winter simulation: driving innovation, (763-771)
- Kroeze J, Matthee M and Bothma T Differentiating data- and text-mining terminology Proceedings of the 2003 annual research conference of the South African institute of computer scientists and information technologists on Enablement through technology, (93-101)
- Kim W, Choi B, Hong E, Kim S and Lee D (2019). A Taxonomy of Dirty Data, Data Mining and Knowledge Discovery, 7:1, (81-99), Online publication date: 1-Jan-2003.
- Sang K Case studies: Commercial, multiple mining tasks systems Handbook of data mining and knowledge discovery, (589-600)
- Kreuseler M and Schumann H (2002). A Flexible Approach for Visual Data Mining, IEEE Transactions on Visualization and Computer Graphics, 8:1, (39-51), Online publication date: 1-Jan-2002.
- Wong P, Cowley W, Foote H, Jurrus E and Thomas J Visualizing Sequential Patterns for Text Mining Proceedings of the IEEE Symposium on Information Vizualization 2000
- Wong P, Whitney P and Thomas J Visualizing Association Rules for Text Mining Proceedings of the 1999 IEEE Symposium on Information Visualization
Index Terms
- Data mining solutions: methods and tools for solving real-world problems
Recommendations
Mining uncertain data
As an important data mining and knowledge discovery task, association rule mining searches for implicit, previously unknown, and potentially useful pieces of information—in the form of rules revealing associative relationships—that are embedded in the ...
Mining uncertain data for constrained frequent sets
IDEAS '09: Proceedings of the 2009 International Database Engineering & Applications SymposiumData mining aims to search for implicit, previously unknown, and potentially useful pieces of information---such as sets of items that are frequently co-occurring together---that are embedded in data. The mined frequent sets can be used in the discovery ...
Mining fuzzy specific rare itemsets for education data
Association rule mining is an important data analysis method for the discovery of associations within data. There have been many studies focused on finding fuzzy association rules from transaction databases. Unfortunately, in the real world, one may ...