Computational Network Theory Computational Network Theory
Quantitative and Network Biology

Computational Network Theory

Theoretical Foundations and Applications

Matthias Dehmer 및 다른 저자
    • US$99.99
    • US$99.99

출판사 설명

This comprehensive introduction to computational network theory as a branch of network theory builds on the understanding that such networks are a tool to derive or verify hypotheses by applying computational techniques to large scale network data.

The highly experienced team of editors and high-profile authors from around the world present and explain a number of methods that are representative of computational network theory, derived from graph theory, as well as computational and statistical techniques.

With its coherent structure and homogenous style, this reference is equally suitable for courses on computational networks.

장르
전문직 및 기술
출시일
2015년
5월 4일
언어
EN
영어
길이
280
페이지
출판사
Wiley
판매자
John Wiley & Sons, Inc.
크기
32.2
MB
Frontiers in Data Science Frontiers in Data Science
2017년
Quantitative Graph Theory Quantitative Graph Theory
2014년
Elements of Data Science, Machine Learning, and Artificial Intelligence Using R Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
2023년
Modern and Interdisciplinary Problems in Network Science Modern and Interdisciplinary Problems in Network Science
2018년
Entrepreneurial Complexity Entrepreneurial Complexity
2019년
Big Data of Complex Networks Big Data of Complex Networks
2016년
Computational Network Analysis with R Computational Network Analysis with R
2016년
Mathematical Foundations and Applications of Graph Entropy Mathematical Foundations and Applications of Graph Entropy
2016년
Advances in Network Complexity Advances in Network Complexity
2013년
Statistical Diagnostics for Cancer Statistical Diagnostics for Cancer
2012년
Statistical Modelling of Molecular Descriptors in QSAR/QSPR Statistical Modelling of Molecular Descriptors in QSAR/QSPR
2012년
Applied Statistics for Network Biology Applied Statistics for Network Biology
2011년