Mohlo by sa vám tiež páčiť

Informovať o naskladnení knihy

Viac informácií o knihe Applied Biclustering Methods for Big and High-Dimensional Data Using R

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

Nákupom získate 176 bodov

Anotácia knihy

Proven Methods for Big Data Analysis

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.

Parametre knihy

• Celý názov: Applied Biclustering Methods for Big and High-Dimensional Data Using R
• Autor: Adetayo Kasim, Ziv Shkedy, Willem Talloen, Sepp Hochreiter, Sebastian Kaiser
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 428
• EAN: 9780367736859
• ISBN: 0367736853
• ID: 33479125
• Nakladateľ: Taylor & Francis Ltd
• Hmotnosť: 848 g
• Rozmery: 234 × 156 mm
• Dátum vydania: 18. December 2020

---

---

---