USpan: an efficient algorithm for mining high utility sequential patterns

By Junfu Yin, Z. Zheng, Longbing Cao. Knowledge Discovery and Data Mining, 2012

301 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Information Systems

View Paper: https://www.semanticscholar.org/paper/501292b6473968ef3d76524495b5c9f66adb4371

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Vincent Shin-Mu Tseng
2. Yun Sing Koh
3. Jerry Chun-Wei Lin
4. Cheng-Wei Wu

In Computational Theory and Mathematics

1. Philippe Fournier-Viger
2. R. U. Kiran
3. Vincent Shin-Mu Tseng
4. Rincy Thomas
5. Souleymane Zida
6. Yun Sing Koh
7. Jerry Chun-Wei Lin
8. Cheng-Wei Wu

In Information Systems

1. Philippe Fournier-Viger
2. R. U. Kiran
3. Vincent Shin-Mu Tseng
4. Rincy Thomas
5. Souleymane Zida
6. Yun Sing Koh
7. Jerry Chun-Wei Lin
8. Cheng-Wei Wu

Citations in the corpus

• A Survey of Sequential Pattern Mining (2017, background): “HUSP is quite challenging as the utility measure is neither monotone nor anti-monotone unlike the support measure traditionally used in sequential pattern mining.”
• FHM: Faster High-Utility Itemset Mining Using Estimated Utility Co-occurrence Pruning (2014, background): “HUIM has also inspired several important data mining tasks such as high-utility sequential pattern mining [11] and high-utility stream mining [9].”