Results 1 to 10 of about 19,323 (117)

A Comparative Study of Frequent Pattern Mining with Trajectory Data. [PDF]

Sensors (Basel), 2022
Sequential pattern mining (SPM) is a major class of data mining topics with a wide range of applications. The continuity and uncertain nature of trajectory data make it distinctively different from typical transactional data, which requires additional ...
Ding S, Li Z, Zhang K, Mao F.
europepmc   +2 more sources

Revisiting Local Descriptors via Frequent Pattern Mining for Fine-Grained Image Retrieval. [PDF]

Entropy (Basel), 2022
Fine-grained image retrieval aims at searching relevant images among fine-grained classes given a query. The main difficulty of this task derives from the small interclass distinction and the large intraclass variance of fine-grained images, posing ...
Zheng M, Geng Y, Li Q.
europepmc   +2 more sources

Overview of frequent pattern mining. [PDF]

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

Frequent pattern mining in multidimensional organizational networks. [PDF]

Sci Rep, 2019
Gadár L, Abonyi J.
europepmc   +1 more source

MACFP: Maximal Approximate Consecutive Frequent Pattern Mining under Edit Distance. [PDF]

Proc SIAM Int Conf Data Min, 2016
Shang J, Peng J, Han J.
europepmc   +1 more source

Application of gap-constraints given sequential frequent pattern mining for protein function prediction. [PDF]

Osong Public Health Res Perspect, 2015
Park HA, Kim T, Li M, Shon HS, Park JS, Ryu KH.   +5 more
europepmc   +1 more source

SeqNLS: nuclear localization signal prediction based on frequent pattern mining and linear motif scoring. [PDF]

PLoS One, 2013
Lin JR, Hu J.
europepmc   +1 more source

CLTD-LP: an optimized top-down clustering approach with linear prefix trees for scalable frequent pattern discovery in large datasets. [PDF]

Sci Rep
Sinthuja M, Diviya M, Saranya P.
europepmc   +1 more source

Automated Discovery of Reactive Events via Hypergraph Mining of Ab Initio Atomistic Simulations. [PDF]

J Chem Theory Comput
Stan-Bernhardt A, Pellizzoni P, Borgwardt K, Ochsenfeld C.   +3 more
europepmc   +1 more source

Multi-level screening method for network security alarms based on DBSCAN algorithm and rete rule inference. [PDF]

Sci Rep
Ni L, Zhang S, Huang K, Wang Y.
europepmc   +1 more source