Mining Probabilistically Frequent Sequential Patterns in Large Uncertain Databases

Incremental mining of sequential pattern

Incremental mining of sequential patterns in large databases

✍ Florent Masseglia; Pascal Poncelet; Maguelonne Teisseire 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 568 KB

In this paper, we consider the problem of the incremental mining of sequential patterns when new transactions or new customers are added to an original database. We present a new algorithm for mining frequent sequences that uses information collected during an earlier mining process to cut down the

A fast algorithm for mining sequential p

A fast algorithm for mining sequential patterns from large databases

✍ Ning Chen; An Chen; Longxiang Zhou; Lu Liu 📂 Article 📅 2001 🏛 Springer 🌐 English ⚖ 875 KB

[ACM Press the 15th International Confer

[ACM Press the 15th International Conference - Berlin, Germany (2012.03.27-2012.03.30)] Proceedings of the 15th International Conference on Extending Database Technology - EDBT '12 - Mining probabilistically frequent sequential patterns in uncertain databases

✍ Zhao, Zhou; Yan, Da; Ng, Wilfred 📂 Article 📅 2012 🏛 ACM Press 🌐 English ⚖ 760 KB

[ACM Press the 15th International Confer

[ACM Press the 15th International Conference - Berlin, Germany (2012.03.27-2012.03.30)] Proceedings of the 15th International Conference on Extending Database Technology - EDBT '12 - Mining probabilistically frequent sequential patterns in uncertain databases

✍ Zhao, Zhou; Yan, Da; Ng, Wilfred 📂 Article 📅 2012 🏛 ACM Press 🌐 English ⚖ 760 KB

Data uncertainty is inherent in many real-world applications such as environmental surveillance and mobile tracking. As a result, mining sequential patterns from inaccurate data, such as sensor readings and GPS trajectories, is important for discovering hidden knowledge in such applications. Previou

Mining frequent tree-like patterns in la

Mining frequent tree-like patterns in large datasets

✍ Tzung-Shi Chen; Shih-Chun Hsu 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 566 KB

[IEEE 2013 IEEE International Conference

[IEEE 2013 IEEE International Conference on Data Mining (ICDM) - Dallas, TX, USA (2013.12.7-2013.12.10)] 2013 IEEE 13th International Conference on Data Mining - Mining Probabilistic Frequent Spatio-Temporal Sequential Patterns with Gap Constraints from Uncertain Databases

✍ Li, Yuxuan; Bailey, James; Kulik, Lars; Pei, Jian 📂 Article 📅 2013 🏛 IEEE ⚖ 294 KB