Pattern Mining with Evolutionary Algorithms okumak kayıt olmadan

ZIP 8.5 Mb
RAR 6.9 Mb
EXE 6.7 Mb
APK 5.1 Mb
IOS 10.2 Mb
Pattern Mining with Evolutionary Algorithms

This book provides a comprehensive overview of the field of pattern mining with evolutionary algorithms. To do so, it covers formal definitions about patterns, patterns mining, type of patterns and the usefulness of patterns in the knowledge discovery process. As it is described within the book, the discovery process suffers from both high runtime and memory requirements, especially when high dimensional datasets are analyzed. To solve this issue, many pruning strategies have been developed. Nevertheless, with the growing interest in the storage of information, more and more datasets comprise such a dimensionality that the discovery of interesting patterns becomes a challenging process. In this regard, the use of evolutionary algorithms for mining pattern enables the computation capacity to be reduced, providing sufficiently good solutions. This book offers a survey on evolutionary computation with particular emphasis on genetic algorithms and genetic programming. Also included is an analysis of the set of quality measures most widely used in the field of pattern mining with evolutionary algorithms. This book serves as a review of the most important evolutionary algorithms for pattern mining. It considers the analysis of different algorithms for mining different type of patterns and relationships between patterns, such as frequent patterns, infrequent patterns, patterns defined in a continuous domain, or even positive and negative patterns. A completely new problem in the pattern mining field, mining of exceptional relationships between patterns, is discussed. In this problem the goal is to identify patterns which distribution is exceptionally different from the distribution in the complete set of data records. Finally, the book deals with the subgroup discovery task, a method to identify a subgroup of interesting patterns that is related to a dependent variable or target attribute. This subgroup of patterns satisfies two essential conditions: interpretability and interestingness.     


Biçim seçin
pdf kindle epub doc
yazar
Boyutlar ve boyutlar
Tarafından yayınlandı

WADE H MCCREE 18,9 x 0,6 x 24,6 cm Additional Contributors Mdpi AG ERWIN N GRISWOLD 18,9 x 0,5 x 24,6 cm 15,6 x 1,3 x 23,4 cm 18,9 x 0,2 x 24,6 cm 28 Ekim 2011 18,9 x 0,4 x 24,6 cm 29 Ekim 2011 ROBERT H BORK 18,9 x 0,3 x 24,6 cm Kolektif 30 Ekim 2011 28 Şubat 2018 3 Ocak 2017 1 Ocak 2017
okumak okumak kayıt olmadan
Sürüm ayrıntıları
yazar Sebastián Ventura José María Luna
isbn 10 9783319338576
isbn 13 978-3319338576
Yayımcı Springer; 1st ed. 2016. baskı
Dilim İngilizce
Boyutlar ve boyutlar 15,6 x 1,3 x 23,4 cm
DE OLDUĞU GİBİ 3319338579
Tarafından yayınlandı Pattern Mining with Evolutionary Algorithms 21 Haziran 2016

En son kitaplar

benzer kitaplar

Freyer Auszug aus des Herrn Marquis von Santa Cruz Marzenado, Gedanken von Kriegs- und Staatsgeschäften: nebst einem Versuch über die Kunst den Krieg zu studieren


okumak kayıt olmadan
A practical Introduction and Application of L-glutamine-(asparagin)ase


okumak kayıt olmadan
Cours de sciences physiques générale, électricité et magnétisme, chimie


okumak kayıt olmadan
Fed-Batch Fermentation: A Practical Guide to Scalable Recombinant Protein Production in Escherichia Coli (Woodhead Publishing Series in Biomedicine)


okumak kayıt olmadan
Research on the Radiation Effects and Compact Model of SiGe HBT (Springer Theses)


okumak kayıt olmadan
Comprehensive Investigation on Active-Passive Hybrid Isolation and Tunable Dynamic Vibration Absorption (Springer Tracts in Mechanical Engineering)


okumak kayıt olmadan