000 -LEADER |
fixed length control field |
03001nam a22003855i 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OSt |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20140310150239.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
cr nn 008mamaa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
120106s2012 xxu| s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781597452908 |
|
978-1-59745-290-8 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QH324.2-324.25 |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
570.285 |
Edition number |
23 |
264 #1 - |
-- |
Totowa, NJ : |
-- |
Humana Press, |
-- |
2012. |
912 ## - |
-- |
ZDB-2-SBL |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Sullivan, Rob. |
Relator term |
author. |
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
Title |
Introduction to Data Mining for the Life Sciences |
Medium |
[electronic resource] / |
Statement of responsibility, etc |
by Rob Sullivan. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
XVIII, 638 p. |
Other physical details |
online resource. |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Introduction -- Fundamental Concepts -- Data Architecture and Data Modeling -- Representing Data Mining Results -- The Input Side of the Equation -- Statistical Methods -- Bayesian Statistics -- Machine Learning Techniques -- Classification and Prediction -- Informatics -- Systems Biology -- Let’s Call it a Day -- Appendix A -- Appendix B -- Appendix C. Appendix D -- Index. |
520 ## - SUMMARY, ETC. |
Summary, etc |
One of the major challenges for the scientific community, a challenge that has been seen in many business disciplines, is the exponential increase in data being generated by new experimental techniques and research. A single microarray experiment, for example, can generate thousands of data points that need to be analyzed, and this problem is predicted to increase. As new techniques in areas such as genomics and proteomics continue to be adopted into the mainstream as the costs fall, the need for effective mechanisms for synthesizing these disparate forms of data together for analysis is of paramount importance. But the sheer volume of data means that traditional techniques need to be augmented by approaches that elicit knowledge from the data, using automated procedures. Data mining provides a set of such techniques, new techniques to integrate, synthesize, and analyze the data, uncovering the hidden patterns that exist within. Traditionally, techniques such as kernel learning methods, pattern recognition, and data mining, have been the domain of researchers in areas such as artificial intelligence, but leveraging these tools, techniques, and concepts against your data asset to identify problems early, understand interactions that exist and highlight previously unrealized relationships through the combination of these different disciplines can provide significant value for the investigator and her organization. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Life sciences. |
|
Topical term or geographic name as entry element |
Bioinformatics. |
|
Topical term or geographic name as entry element |
Life Sciences. |
|
Topical term or geographic name as entry element |
Bioinformatics. |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY |
Title |
Springer eBooks |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Display text |
Printed edition: |
International Standard Book Number |
9781588299420 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
http://dx.doi.org/10.1007/978-1-59745-290-8 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Item type |
E-Book |