Applied biclustering methods for big and high-dimensional data using R (Record no. 210694)

000 -LEADER
fixed length control field aam a22 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190116b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781482208238
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.7
Item number A7
245 ## - TITLE STATEMENT
Title Applied biclustering methods for big and high-dimensional data using R
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc CRC Press
Date of publication, distribution, etc 2017
Place of publication, distribution, etc London
300 ## - PHYSICAL DESCRIPTION
Extent xxv, 401 p.
Other physical details With index
520 ## - SUMMARY, ETC.
Summary, etc As big data has become standard in many application areas, challenges have arisen related to methodology and software development, including how to discover meaningful patterns in the vast amounts of data. Addressing these problems, Applied Biclustering Methods for Big and High-Dimensional Data Using R shows how to apply biclustering methods to find local patterns in a big data matrix.

The book presents an overview of data analysis using biclustering methods from a practical point of view. Real case studies in drug discovery, genetics, marketing research, biology, toxicity, and sports illustrate the use of several biclustering methods. References to technical details of the methods are provided for readers who wish to investigate the full theoretical background. All the methods are accompanied with R examples that show how to conduct the analyses. The examples, software, and other materials are available on a supplementary website.

https://www.crcpress.com/Applied-Biclustering-Methods-for-Big-and-High-Dimensional-Data-Using-R/Kasim-Shkedy-Kaiser-Hochreiter-Talloen/p/book/9781482208238
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R (Computer program language)
9 (RLIN) 373427
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Cluster set theory
9 (RLIN) 373428
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big data
9 (RLIN) 373429
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Kasim, Adetayo
Relator term Editor
9 (RLIN) 373430
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Shkedy, Ziv
Relator term Editor
9 (RLIN) 373431
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Kaiser, Sebastian
Relator term Editor
9 (RLIN) 373432
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Hochreiter, Sepp
Relator term Editor
9 (RLIN) 373433
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Talloen, Willem
Relator term Editor
9 (RLIN) 373434
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent location Current location Shelving location Date acquired Source of acquisition Cost, normal purchase price Item location Full call number Barcode Date last seen Cost, replacement price Koha item type
          Non-fiction Vikram Sarabhai Library Vikram Sarabhai Library General Stacks 2019-01-16 5 5.00 Slot 83 (0 Floor, West Wing) 005.7 A7 198238 2019-01-16 6263.56 Books

Powered by Koha