MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03895nam a22003857a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20250707162827.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
250707b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9783642010873 |
| Qualifying information |
(hardcover) |
| 040 ## - CATALOGING SOURCE |
|---|
| Language of cataloging |
eng |
| Transcribing agency |
DLC |
| Modifying agency |
DLC |
| Description conventions |
rda |
| Original cataloging agency |
Sai University Library |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Edition number |
22 |
| Classification number |
006.3 |
| Item number |
ABR |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Foundations of computational intelligence |
| Statement of responsibility, etc |
Ajith Abraham, Aboul-Ella Hassanien, André Ponce de Leon F. Carvalho editors |
| Number of part/section of a work |
Volume 4, |
| Name of part/section of a work |
Bio-inspired data mining / |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Berlin ; |
| Name of publisher, distributor, etc |
Springer, |
| Date of publication, distribution, etc |
2009 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Berlin ; |
| Name of producer, publisher, distributor, manufacturer |
Springer, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2009 |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
©2009 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xiii, 394 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
25 cm |
| 336 ## - Content type term (R) |
|---|
| Source (NR) |
rdacontent |
| Content type term (R) |
text |
| Content type code (R) |
txt |
| 337 ## - Media Type (R) |
|---|
| Source (NR) |
rdamedia |
| Media type term (R) |
unmediated |
| Media type code (R) |
n |
| 338 ## - Carrier Type (R) |
|---|
| Source (NR) |
rdacarrier |
| Carrier type term (R) |
volume |
| Carrier type code (R) |
nc |
| 490 1# - SERIES STATEMENT |
|---|
| Series statement |
Studies in computational intelligence ; |
| Volume number/sequential designation |
v. 204 |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Gifted by Professor Ajith Abraham |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Includes bibliographical references and index |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Recent advances in the computing and electronics technology, particularly in sensor devices, databases and distributed systems, are leading to an exponential growth in the amount of data stored in databases. It has been estimated that this amount doubles every 20 years. For some applications, this increase is even steeper. Databases storing DNA sequence, for example, are doubling their size every 10 months. This growth is occurring in several applications areas besides bioinformatics, like financial transactions, government data, environmental monitoring, satellite and medical images, security data and web. As large organizations recognize the high value of data stored in their databases and the importance of their data collection to support decision-making, there is a clear demand for sophisticated Data Mining tools. Data mining tools play a key role in the extraction of useful knowledge from databases. They can be used either to confirm a particular hypothesis or to automatically find patterns. In the second case, which is related to this book, the goal may be either to describe the main patterns present in dataset, what is known as descriptive Data Mining or to find patterns able to predict behaviour of specific attributes or features, known as predictive Data Mining. While the first goal is associated with tasks like clustering, summarization and association, the second is found in classification and regression problems. Computational tools or solutions based on intelligent systems are being used with great success in Data Mining applications. Nature has been very successful in providing clever and efficient solutions to different sorts of challenges and problems posed to organisms by ever-changing and unpredictable environments. It is easy to observe that strong scientific advances have been made when issues from different research areas are integrated. A particularly fertile integration combines biology and computing. Computational tools inspired on biological process can be found in a large number of applications. One of these applications is Data Mining, where computing techniques inspired on nervous systems; swarms, genetics, natural selection, immune systems and molecular biology have provided new efficient alternatives to obtain new, valid, meaningful and useful patterns in large datasets. This Volume comprises of 16 chapters, including an overview chapter, providing an up-to-date and state-of-the research on the application of Bio-inspired techniques for Data Mining |
| 650 #1 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Natural computation |
| 650 #1 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Data mining |
| 650 #1 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Bioinformatics |
| 650 #1 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Computational biology |
| 650 #1 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Artificial intelligence |
| 650 #1 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Engineering |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Abraham, Ajith |
| Relator term |
editor |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Hassanien, Aboul-Ella |
| Relator term |
editor |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Carvalho, André Ponce de Leon F. de |
| Relator term |
editor |
| 830 ## - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Studies in computational intelligence ; |
| Volume number/sequential designation |
v. 204 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
