Results 71 to 80 of about 735,862 (187)

A Constraint Programming Approach for Mining Sequential Patterns in a Sequence Database

, 2013
Constraint-based pattern discovery is at the core of numerous data mining tasks. Patterns are extracted with respect to a given set of constraints (frequency, closedness, size, etc).
Charnois, Thierry, Loudni, Samir, Métivier, Jean-Philippe   +2 more
core   +1 more source

Mining spatiotemporally invariant patterns

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022
Colomba,Luca, Cagliero,Luca, Garza,Paolo
openaire   +2 more sources

MinerLSD: efficient mining of local patterns on attributed networks

Applied Network Science, 2019
Local pattern mining on attributed networks is an important and interesting research area combining ideas from network analysis and data mining. In particular, local patterns on attributed networks allow both the characterization in terms of their ...
Martin Atzmueller, Henry Soldano, Guillaume Santini, Dominique Bouthinon   +3 more
doaj   +1 more source

Recursive Queried Frequent Patterns Algorithm: Determining Frequent Pattern Sets from Database

Information
Frequent pattern mining is a fundamental method for Data Mining, applicable in market basket analysis, recommendation systems, and academic analytics. Widely adopted and foundational algorithms such as Apriori and FP-Growth, which represent the standard ...
Ishtiyaq Ahmad Khan, Hsin-Yuan Chen, Shamneesh Sharma, Chetan Sharma   +3 more
doaj   +1 more source

A pattern growth-based sequential pattern mining algorithm called prefixSuffixSpan

EAI Endorsed Transactions on Scalable Information Systems, 2017
Sequential pattern mining is an important data mining problem widely addressed by the data mining community, with a very large field of applications. The sequence pattern mining aims at extracting a set of attributes, shared across time among a large ...
Kenmogne Edith Belise, Tadmon Calvin, Nkambou Roger   +2 more
doaj   +1 more source

Overview of frequent pattern mining. [PDF]

Genomics Inform, 2022
Ott J, Park T.
europepmc   +1 more source

Efficient model selection for predictive pattern mining model by safe pattern pruning. [PDF]

Patterns (N Y), 2023
Yoshida T, Hanada H, Nakagawa K, Taji K, Tsuda K, Takeuchi I.   +5 more
europepmc   +1 more source

Refining the genetic risk of breast cancer with rare haplotypes and pattern mining. [PDF]

Life Sci Alliance, 2023
Letsou W, Wang F, Moon W, Im C, Sapkota Y, Robison LL, Yasui Y.   +6 more
europepmc   +1 more source

Mining Heterogeneous Multivariate Time-Series for Learning Meaningful Patterns: Application to Home Health Telecare

, 2004
For the last years, time-series mining has become a challenging issue for researchers. An important application lies in most monitoring purposes, which require analyzing large sets of time-series for learning usual patterns.
Duchene, Florence, Garbay, Catherine, Rialle, Vincent   +2 more
core   +1 more source

Retracted: Study on the Clinical Characteristics and Treatment of Obstetric Hypertension with Sequence Pattern Mining Algorithm. [PDF]

J Healthc Eng, 2023
Healthcare Engineering JO.
europepmc   +1 more source