References
- CooleyR., MobasherB., & SrivastavaJ. (1997). Web mining: Information and pattern discovery on the world wide web. In Ninth IEEE International Conference on Tools with Artificial Intelligence (pp. 558–567)
- DorigoL. M., & GambardellaM. (1997). Ant colonies for the travelling salesman problem. BioSystems, 43, 73–81. https://doi.org/10.1016/S0303-2647(97)01708-5.
- HanJ., PeiJ., YinY., & MaoR. (2004). Mining frequent patterns without candidate generation: A frequent-pattern tree approach. Data Mining and Knowledge Discovery, 8, 53–87. https://doi.org/10.1023/B:DAMI.0000005258.31418.83.
- JinY., & LiW. (2003). An ordered concept lattice and incremental discovery of user traversal patterns on the WWW. Journal of Computer Research and Development, 40, 675–683.
- LinC., & TsengL. (2010). Website reorganization using an ant colony system. Expert Systems with Applications, 37, 7598–7605. https://doi.org/10.1016/j.eswa.2010.04.083.
- LingH., LiuY., & YangS. (2007). An ant colony model for dynamic mining of users interest navigation patterns. In IEEE International Conference on Control and Automation (pp. 281–283)
- LoyolaP., RománP. E., & VelásquezJ. D. (2012). Predicting web user behavior using learning-based ant colony optimization. Engineering Applications of Artificial Intelligence, 25, 889–897. https://doi.org/10.1016/j.engappai.2011.10.008.
- Ming-Syan ChenP., Jong Soo ParkJ., & YuP. (1998). Efficient data mining for path traversal patterns. IEEE Transactions on Knowledge and Data Engineering, 10, 209–221. https://doi.org/10.1109/69.683753.
- NieC., WangH., & HuX. (2003). CL-based mining sequential patterns. Computer Engineering, 29, 60–63.
- WangH., WuZ., YangX., & LiuH. (2011). A novel aco-based multicast path algorithm in hypercube networks. Intelligent Automation & Soft Computing, 17, 541–549. https://doi.org/10.1080/10798587.2011.10643168.
- WhiteT., Salehi-AbariA., & BoxB. (2010). On how ants put advertisements on the web. Trends in Applied Intelligent Systems, Lecture Notes in Computer Science, 6097, 494–503.
- XingD., & ShenJ. (2004a). A new measurement for Web navigation interest-preference. Control and Decision, 19, 307–310.
- XingD., & ShenJ. (2004b). Efficient data mining for web navigation patterns. Information and Software Technology, 46, 55–63. https://doi.org/10.1016/S0950-5849(03)00109-5.
- XingD., ShenJ., & SongQ. (2003). Discovering preferred browsing paths from web logs. Chinese Journal of Computers, 26, 1518–1523.
- ZouT., WangY., WeiX., LiZ., & YangG. (2014). An effective collaborative filtering via enhanced similarity and probability interval prediction. Intelligent Automation & Soft Computing, 20, 555–566. https://doi.org/10.1080/10798587.2014.934598.