The database mine

The objective of the thesis: Mining association rules with time-interval between events in temporal quantitative databases called fuzzy time-interval association rules; mining sequential patterns with time-interval between events in temporal quantitative sequential databases called fuzzy sequential patterns with fuzzy time intervals; mining common sequential rules with time-interval between events in temporal quantitative sequential databases called fuzzy common sequential rules with fuzzy time intervals.

27p beloveinhouse01 15-08-2021 15 4   Download

The objective of the thesis is to propose a solution to mine the weighted sequential patterns between sequences in sequence databases with time interval and quantitative sequence databases with time interval.

25p beloveinhouse01 15-08-2021 15 3   Download

In this chapter you will: To understand how firms create an internal database, to learn about building a database from a Web site, to become familiar data mining, to understand the advantages and disadvantages of of using secondary data, to understand the role of the Internet in obtaining secondary data, to learn about types of information management systems.

13p allbymyself_06 28-01-2016 63 4   Download

The siglecs (sialic acid-binding Ig-like lectins) are a distinct subset of the Ig superfamily with adhesion-molecule-like structure. We describe here a novel member of the siglec protein family that shares a similar structure including five Ig-like domains, a transmembrane domain, and a cytoplasmic tail containing two ITIM-signaling motifs. Siglec10 was identified through database mining of an asthmatic eosinophil EST library. Using the Stanford G3 radiation hybrid panel we were able to localize the genomic sequence of siglec-10 within the cluster of genes on chromosome 19q13.

14p system191 01-06-2013 43 6   Download

Acomprehensive, structural and functional, insilicoanalysis of the medium-chain dehydrogenase/reductase (MDR) superfamily, including 583 proteins, was carried out by use of extensive database mining and theBLASTPprogram in an iterative manner to identify all known members of the superfamily. Based on phylogenetic, sequence, and func-tional similarities, the protein members of the MDR super-family were classified into three different taxonomic categories: (a) subfamilies, consisting of a closed group containing a set of ideally orthologous proteins that perform the same function;...

26p tumor12 20-04-2013 35 5   Download