Supervised and Unsupervised Learning for Genetic Expression - Softcover

Kalyan Nayak, Rudra; Tripathy, Ramamani; Mishra, Debahuti

 
9786203855722: Supervised and Unsupervised Learning for Genetic Expression
Softcover
ISBN 10: 6203855723 ISBN 13: 9786203855722
Verlag: LAP LAMBERT Academic Publishing, 2021

Inhaltsangabe

Attribute clustering is one of the unsupervised data mining applications which have been previously used to identify statistical dependence between subsets of variables. Again clustering techniques are important in data mining methods for exploring natural structure and identifying interesting patterns in original data, also it is proved to be helpful in finding co-expressed samples. In this book, the rough set theory (RST) has been used for attribute clustering. RST is a theory adopted to deal with rough and unsure knowledge, which analyzes the clusters and finds the data principles when previous knowledge is not available. In this concern, after implementing the rough set based attribute clustering method on a real life dataset, those are classified using some of the traditional classification techniques.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

Dr. Rudra Kalyan Nayak is presently working as Associate Professor in the Dept. of CSE at K L University, Andhra Pradesh, IndiaDr. Ramamani Tripathy is presently working as Associate Professor in the Dept. of MCA at USBM, Odisha, IndiaDr. Debahuti Mishra is presently working as Professor and Head in Dept. of CSE at S'O'A University, Odisha, India.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2021
Sprache
Englisch
ISBN 10 
6203855723
ISBN 13 
9786203855722
Einband
Taschenbuch
Anzahl der Seiten
96
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
KreGa Onlinehandel GmbH
4950000000000
info@krega-onlinehandel.de

Birkenweg 31
Brakel
33034
Deutschland