MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03177cam a22002775a 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
17395163 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20170103151008.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
120720t2013 flua frb 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780849328015 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
0849328012 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
DLC |
| Language of cataloging |
eng |
| Transcribing agency |
DLC |
| Modifying agency |
DLC |
| -- |
EG-ScBUE |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Edition number |
22 |
| Classification number |
572.330285 |
| Item number |
DUA |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Dua, Sumeet. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Data mining for bioinformatics / |
| Statement of responsibility, etc |
Sumeet Dua, Pradeep Chowriappa. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Boca Raton : |
| Name of publisher, distributor, etc |
CRC Press / Taylor & Francis Group, |
| Date of publication, distribution, etc |
c.2013. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xix, 328 p. : |
| Other physical details |
ill. ; |
| Dimensions |
24 cm. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"Data Mining for Bioinformatics enables researchers to meet the challenge of mining vast amounts of biomolecular data to discover real knowledge. Covering theory, algorithms, and methodologies, as well as data mining technologies, the book presents a thorough discussion of data-intensive computations used in data mining applied to bioinformatics. The book explains data mining design concepts to build applications and systems. It shows how to prepare raw data for the mining process and is filled with heuristics that speed the data mining process"-- |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"PREFACE The flourishing field of bioinformatics has been the catalyst to transform biological research paradigms to extend beyond traditional scientific boundaries. Fueled by technological advancements in data collection, storage and analysis technologies in biological sciences, researchers have begun to increasingly rely on applications of computational knowledge discovery techniques to gain novel biological insight from the data. As we forge into the future of next-generation sequencing technologies, bioinformatics practitioners will continue to design, develop and employ new algorithms, that are efficient, accurate, scalable, reliable and robust to enable knowledge discovery on the projected exponential growth of raw data. To this end, data mining has been and will continue to be vital for analyzing large volumes of heterogeneous, distributed, semi-structured and interrelated data for knowledge discovery. This book is targeted to readers who are interested in the embodiments of data mining techniques, technologies and frameworks, employed for effective storing, analyzing, and extracting knowledge from large databases specifically encountered in a variety of bioinformatics domains, including but not limited to, genomics and proteomics. The book is also designed to give a broad, yet in-depth overview of the application domains of data mining for bioinformatics challenges. The sections of the book are designed to enable readers from both biology and computer science backgrounds gain an enhanced understanding of the cross-disciplinary field. In addition to providing an overview of the area discussed in Section 1, individual chapters of Sections 2, 3 and 4 are dedicated to key concepts of feature extraction, unsupervised learning, and supervised learning techniques"-- |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Bioinformatics. |
| Source of heading or term |
BUEsh |
| 9 (RLIN) |
5545 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Data mining. |
| Source of heading or term |
BUEsh |
| 9 (RLIN) |
27695 |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| Source of heading or term |
BUEsh |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Resource For college |
Informatics and Computer Science |
| Arrived date list |
January2017 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Chowriappa, Pradeep |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) |
|---|
| -- |
2017-01-03 |