StreamSW: A density-based approach for clustering data streams over sliding windows
Sign Up to like & getrecommendations! Published in 2019 at "Measurement"
DOI: 10.1016/j.measurement.2018.11.041
Abstract: Abstract Density-based clustering is a prominent and an essential technique in mining data streams. It can discover clusters of arbitrary or irregular shape and handle noisy data. This paper presents StreamSW, a new density-based approach… read more here.
Keywords: approach clustering; density based; data streams; density ... See more keywords
A Novel Approach to Clustering Genome Sequences Using Inter-nucleotide Covariance
Sign Up to like & getrecommendations! Published in 2019 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2019.00234
Abstract: Classification of DNA sequences is an important issue in the bioinformatics study, yet most existing methods for phylogenetic analysis including Multiple Sequence Alignment (MSA) are time-consuming and computationally expensive. The alignment-free methods are popular nowadays,… read more here.
Keywords: accumulated natural; novel approach; clustering genome; natural vector ... See more keywords
A Novel Approach for Clustering Periodic Patterns
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Intelligent Systems"
DOI: 10.4236/ijis.2017.71001
Abstract: The process of extracting patterns that are frequent from supermarket datasets is a well known problem of data mining. Nowadays, we have many approaches to resolve the problem. Association rule mining is one among them.… read more here.
Keywords: novel approach; time intervals; time; clustering periodic ... See more keywords