Big Data of Complex Networks

افزودن به بوکمارک اشتراک گذاری 0 دیدگاه کاربران 5 (0)

مشارکت: عنوان و توضیح کوتاه هر کتاب را ترجمه کنید این ترجمه بعد از تایید با نام شما در سایت نمایش داده خواهد شد.

ترجمه این کتاب مشاهده همه کتاب های ترجمه نشده

از خودتان درباره کتاب توضیح کوتاهی بنویسید

Big Data of Complex Networks presents and explains the methods from the study of big data that can be used in analysing massive structural data sets, including both very large networks and sets of graphs. As well as applying statistical analysis techniques like sampling and bootstrapping in an interdisciplinary manner to produce novel techniques for analyzing massive amounts of data, this book also explores the possibilities offered by the special aspects such as computer memory in investigating large sets of complex networks.

Intended for computer scientists, statisticians and mathematicians interested in the big data and networks, Big Data of Complex Networks is also a valuable tool for researchers in the fields of visualization, data analysis, computer vision and bioinformatics.

Key features:

Provides a complete discussion of both the hardware and software used to organize big data

Describes a wide range of useful applications for managing big data and resultant data sets

Maintains a firm focus on massive data and large networks

Unveils innovative techniques to help readers handle big data

Matthias Dehmer received his PhD in computer science from the Darmstadt University of Technology, Germany. Currently, he is Professor at UMIT - The Health and Life Sciences University, Austria, and the Universitat der Bundeswehr Munchen. His research interests are in graph theory, data science, complex networks, complexity, statistics and information theory.

Frank Emmert-Streib received his PhD in theoretical physics from the University of Bremen, and is currently Associate professor at Tampere University of Technology, Finland. His research interests are in the field of computational biology, machine learning and network medicine.

Stefan Pickl holds a PhD in mathematics from the Darmstadt University of Technology, and is currently a Professor at Bundeswehr Universitat Munchen. His research interests are in operations research, systems biology, graph theory and discrete optimization.

Andreas Holzinger received his PhD in cognitive science from Graz University and his habilitation (second PhD) in computer science from Graz University of Technology. He is head of the Holzinger Group HCI-KDD at the Medical University Graz and Visiting Professor for Machine Learning in Health Informatics Vienna University of Technology.

لغو

گزارش تخلف

مغایرت عنوان کتاب با توضیحات و تصویر جلد
عدم رعایت حقوق نشر طبق قوانین جمهوری اسلامی ایران
محتوای مستهجن
توهین به قومیتها و محتوای نژادپرستی
توهین به اقیلیتهای مذهبی
اهانت به مقامات سیاسی و مذهبی
اشاعه ی کودک آزاری
سایر موارد

بستن

فرمت کتاب

ebook

زبان

english

تاریخ انتشار

2016

نویسنده

Stefan Pickl

ناشر

CRC Press

شابک

9781498723626

20,000 تومان

خرید کتاب مطالعه نمونه درخواست ترجمه کتاب

خرید کتاب Big Data of Complex Networks

Big Data of Complex Networks

گزارش تخلف

فرمت کتاب

ebook

زبان

english

تاریخ انتشار

2016

نویسنده

ناشر

شابک

کتاب های مرتبط

Structured Search for Big Data

Collaborative Filtering Using Data Mining and Analysis

Big Data

Spark Cookbook

HBase in Action

HBase in Action : Foreword by Michael Stack

978-1617292521

Practical Data Analysis

Artificial intelligence and big data : the birth of a new intelligence

Data Lake for Enterprises

Splunk Operational Intelligence Cookbook

Mastering data-intensive collaboration and decision making : research and practical applications in the Dicode Project

Big data analysis : second International Conference, BDA 2013, Mysore, India, December 16-18, 2013 : proceedings

Big data benchmarks, performance optimization, and emerging hardware : 4th and 5th Workshops, BPOE 2014, Salt Lake City, USA, March 1, 2014 and Hangzhou, China, September 5, 2014 : revised selected papers

Medical computer vision : algorithms for big data : international workshop, MCV 2014, held in conjunction with MICCAI 2014, Cambridge, MA, USA, September 18, 2014 : revised selected papers

Big data integration theory : theory and methods of database mappings, programming languages, and semantics

Cloud networking for big data

Big Data

Big Data How the Information Revolution Is Transforming Our Lives

Big data imperatives : enterprise big data warehouse, BI implementations and analytics

Advances in big data : proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece

دیدگاه کاربران