Title
Categorised Counting Mediated by Blotting Membrane Systems for Particle-Based Data Mining and Numerical Algorithms.
Abstract
Blotting turns out to be a rather common and effective approach in molecular information processing. An initial pool of molecules considered as sets of individual data becomes spatially separated according to the presence or absence of specific attributes like weight index or chemical groups and labels. In this connection, molecules with similar properties form a spot or blot. Finally, each blot can be visualised or analysed revealing a corresponding score index or count from the number of accumulated molecules. The entire variety of blots which emerge over time provides crucial and condensed information about the molecular system under study. Inspired by the idea to obtain significant data reduction while keeping the essential characteristics of the molecular system as output, we introduce blotting membrane systems as a modelling framework open for numerous applications in data mining. By means of three dedicated case studies, we demonstrate its descriptive capability from an explorative point of view. Our case studies address particle-based numerical integration, which suggests a model for the synchronised 17-year life cycle of Magicicadas. Furthermore, we exemplify electrophoresis as a way to carry out a variant of bucket sort.
Year
DOI
Venue
2014
10.1007/978-3-319-14370-5_15
Lecture Notes in Computer Science
Field
DocType
Volume
Data mining,Information processing,Computer science,Numerical integration,Membrane,Blot,Bucket sort,Membrane computing,Particle,Data reduction
Conference
8961
ISSN
Citations 
PageRank 
0302-9743
2
0.54
References 
Authors
5
5
Name
Order
Citations
PageRank
Thomas Hinze19712.37
Konrad Grützmann220.54
Benny Höckner351.25
Peter Sauer421.22
Sikander Hayat5815.84