| Title:
|
MULTIOBJECTIVE GENETIC ALGORITHMS FOR CLUSTERING
APPLICATIONS IN DATA MINING AND BIOINFORMATICS |
| By: |
Ujjwal Maulik, Sanghamitra Bandyopadhyay, Anirban Mukhopadhyay |
| Format: |
Paperback |
| List price:
|
£49.99 |
|
We currently do not stock this item, please contact the publisher directly for
further information.
|
|
|
|
|
|
| ISBN 10: |
3642439632 |
| ISBN 13: |
9783642439636 |
| Publisher: |
SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG |
| Pub. date: |
22 November, 2014 |
| Edition: |
2011 ed. |
| Pages: |
281 |
| Description: |
This book covers clustering using multiobjective genetic algorithms, with extensive real-life application in data mining and bioinformatics. The authors offer instructions for relevant techniques, and demonstrate real-world applications in several disciplines. |
| Synopsis: |
This is the first book primarily dedicated to clustering using multiobjective genetic algorithms with extensive real-life applications in data mining and bioinformatics. The authors first offer detailed introductions to the relevant techniques - genetic algorithms, multiobjective optimization, soft computing, data mining and bioinformatics. They then demonstrate systematic applications of these techniques to real-world problems in the areas of data mining, bioinformatics and geoscience. The authors offer detailed theoretical and statistical notes, guides to future research, and chapter summaries.The book can be used as a textbook and as a reference book by graduate students and academic and industrial researchers in the areas of soft computing, data mining, bioinformatics and geoscience. |
| Illustrations: |
XVI, 281 p. |
| Publication: |
Germany |
| Imprint: |
Springer-Verlag Berlin and Heidelberg GmbH & Co. K |
| Returns: |
Returnable |