Pattern Mining: Current Challenges and Opportunities

Philippe Fournier-Viger; Wensheng Gan; Youxi Wu; Mourad Nouioua; Wei Song; Tin Truong; Hai Duong

doi:10.1007/978-3-031-11217-1_3

Pattern Mining: Current Challenges and Opportunities

Philippe Fournier-Viger^*
, Wensheng Gan
, Youxi Wu
, Mourad Nouioua
, Wei Song
, Tin Truong
, Hai Duong

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

87 Scopus citations

Abstract

Pattern mining is a key subfield of data mining that aims at developing algorithms to discover interesting patterns in databases. The discovered patterns can be used to help understanding the data and also to perform other tasks such as classification and prediction. After more than two decades of research in this field, great advances have been achieved in terms of theory, algorithms, and applications. However, there still remains many important challenges to be solved and also many unexplored areas. Based on this observations, this paper provides an overview of six key challenges that are promising topics for research and describe some interesting opportunities. Those challenges were identified by researchers from the field, and are: (1) mining patterns in complex graph data, (2) targeted pattern mining, (3) repetitive sequential pattern mining, (4) incremental, stream, and interactive pattern mining, (5) heuristic pattern mining, and (6) mining interesting patterns.

Original language	English
Title of host publication	Database Systems for Advanced Applications. DASFAA 2022 International Workshops - BDMS, BDQM, GDMA, IWBT, MAQTDS, and PMBD, Proceedings
Editors	Uday Kiran Rage, Vikram Goyal, P. Krishna Reddy
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	34-49
Number of pages	16
ISBN (Print)	9783031112164
DOIs	https://doi.org/10.1007/978-3-031-11217-1_3
State	Published - 2022
Externally published	Yes
Event	International Workshops on BDMS, BDQM, GDMA, IWBT, MAQTDS, and PMBD 2022, held in conjunction with the 27th International Conference on Database Systems for Advanced Applications, DASFAA 2022 - Virtual, Online Duration: 11 Apr 2022 → 14 Apr 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13248 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Workshops on BDMS, BDQM, GDMA, IWBT, MAQTDS, and PMBD 2022, held in conjunction with the 27th International Conference on Database Systems for Advanced Applications, DASFAA 2022
City	Virtual, Online
Period	11/04/22 → 14/04/22

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Challenges
Data mining
Opportunities
Pattern mining

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-031-11217-1_3

Cite this

Fournier-Viger, P., Gan, W., Wu, Y., Nouioua, M., Song, W., Truong, T., & Duong, H. (2022). Pattern Mining: Current Challenges and Opportunities. In U. K. Rage, V. Goyal, & P. K. Reddy (Eds.), Database Systems for Advanced Applications. DASFAA 2022 International Workshops - BDMS, BDQM, GDMA, IWBT, MAQTDS, and PMBD, Proceedings (pp. 34-49). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13248 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-11217-1_3

Fournier-Viger, Philippe ; Gan, Wensheng ; Wu, Youxi et al. / Pattern Mining : Current Challenges and Opportunities. Database Systems for Advanced Applications. DASFAA 2022 International Workshops - BDMS, BDQM, GDMA, IWBT, MAQTDS, and PMBD, Proceedings. editor / Uday Kiran Rage ; Vikram Goyal ; P. Krishna Reddy. Springer Science and Business Media Deutschland GmbH, 2022. pp. 34-49 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Pattern mining is a key subfield of data mining that aims at developing algorithms to discover interesting patterns in databases. The discovered patterns can be used to help understanding the data and also to perform other tasks such as classification and prediction. After more than two decades of research in this field, great advances have been achieved in terms of theory, algorithms, and applications. However, there still remains many important challenges to be solved and also many unexplored areas. Based on this observations, this paper provides an overview of six key challenges that are promising topics for research and describe some interesting opportunities. Those challenges were identified by researchers from the field, and are: (1) mining patterns in complex graph data, (2) targeted pattern mining, (3) repetitive sequential pattern mining, (4) incremental, stream, and interactive pattern mining, (5) heuristic pattern mining, and (6) mining interesting patterns.",

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Fournier-Viger, P, Gan, W, Wu, Y, Nouioua, M, Song, W, Truong, T & Duong, H 2022, Pattern Mining: Current Challenges and Opportunities. in UK Rage, V Goyal & PK Reddy (eds), Database Systems for Advanced Applications. DASFAA 2022 International Workshops - BDMS, BDQM, GDMA, IWBT, MAQTDS, and PMBD, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13248 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 34-49, International Workshops on BDMS, BDQM, GDMA, IWBT, MAQTDS, and PMBD 2022, held in conjunction with the 27th International Conference on Database Systems for Advanced Applications, DASFAA 2022, Virtual, Online, 11/04/22. https://doi.org/10.1007/978-3-031-11217-1_3

Pattern Mining: Current Challenges and Opportunities. / Fournier-Viger, Philippe; Gan, Wensheng; Wu, Youxi et al.
Database Systems for Advanced Applications. DASFAA 2022 International Workshops - BDMS, BDQM, GDMA, IWBT, MAQTDS, and PMBD, Proceedings. ed. / Uday Kiran Rage; Vikram Goyal; P. Krishna Reddy. Springer Science and Business Media Deutschland GmbH, 2022. p. 34-49 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13248 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Fournier-Viger P, Gan W, Wu Y, Nouioua M, Song W, Truong T et al. Pattern Mining: Current Challenges and Opportunities. In Rage UK, Goyal V, Reddy PK, editors, Database Systems for Advanced Applications. DASFAA 2022 International Workshops - BDMS, BDQM, GDMA, IWBT, MAQTDS, and PMBD, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 34-49. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-11217-1_3