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原文書（59）

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商品定價

$800以上（59）

出版日期

2020~2021 （1）

2018~2019 （30）

2016~2017 （15）

2016年以前（13）

裝訂方式

平裝（7）

精裝（52）

作者

Francesco Corea （3）

Ali Emrouznejad (EDT)/ Vincent Charles (EDT) （2）

Artur Gramacki （2）

Constandinos X. Mavromoustakis (EDT)/ George Mastorakis (EDT)/ Ciprian Dobre (EDT) （2）

Taeho Jo （2）

出版社/品牌

Springer-Verlag New York Inc （25）

Springer-Nature New York Inc （19）

Springer Verlag （8）

Springer Nature （6）

Springer Nature Switzerland AG （1）

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共59筆商品，2/3頁

21.

Rule Based Systems for Big Data

作者：Han Liu; Alexander Gegov; Mihaela Cocea 出版社：Springer Verlag 出版日：2015/09/17 裝訂：精裝

The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. Rule based systems are seen as a special type of expert systems, which can be built

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22.

Cloud Computing for Geospatial Big Data Analytics ― Intelligent Edge, Fog and Mist Computing

作者：Himansu Das (EDT); Rabindra K. Barik (EDT); Harishchandra Dubey (EDT); Diptendu Sinha Roy (EDT) 出版社：Springer-Nature New York Inc 出版日：2019/02/04 裝訂：精裝

This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud comput

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23.

Granular Computing Based Machine Learning ― A Big Data Processing Approach

作者：Han Liu; Mihaela Cocea 出版社：Springer-Verlag New York Inc 出版日：2017/11/23 裝訂：精裝

This book explores the significant role of granular computing in advancing machine learning towards in-depth processing of big data. It begins by introducing the main characteristics of big data, i.e.

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24.

Data Mining and Knowledge Discovery for Big Data ― Methodologies, Challenge and Opportunities

作者：Wesley W. Chu (EDT) 出版社：Springer-Verlag New York Inc 出版日：2013/10/09 裝訂：精裝

The field of data mining has made significant and far-reaching advances over the past three decades. Because of its potential power for solving complex problems, data mining has been successfully appl

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25.

Recommender System for Improving Customer Loyalty

作者：Katarzyna Tarnowska; Zbigniew W. Ras; Lynn Daniel 出版社：Springer-Nature New York Inc 出版日：2019/05/21 裝訂：精裝

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26.

Big Data ― A Primer

作者：Hrushikesha Mohanty (EDT); Prachet Bhuyan (EDT); Deepak Chenthati (EDT) 出版社：Springer Verlag 出版日：2015/07/10 裝訂：精裝

This book is a collection of chapters written by experts on various aspects of big data. The book aims to explain what big data is and how it is stored and used. The book starts from the fundamentals

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27.

Evolutionary Decision Trees in Large-scale Data Mining

作者：Marek Kretowski 出版社：Springer-Nature New York Inc 出版日：2019/06/18 裝訂：精裝

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28.

Data Science Landscape ― Towards Research Standards and Protocols

作者：Usha Mujoo Munshi (EDT); Neeta Verma (EDT) 出版社：Springer-Verlag New York Inc 出版日：2018/03/01 裝訂：精裝

The edited volume deals with different contours of data science with special reference to data management for the research innovation landscape. The data is becoming pervasive in all spheres of human,

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29.

Concepts and Methods for a Librarian of the Web

作者：Mario Kubek 出版社：Springer-Nature New York Inc 出版日：2019/07/06 裝訂：精裝

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30.

Advances in Deep Learning

作者：M. Arif Wani; Farooq Ahmad Bhat; Saduf Afzal; Asif Iqbal Khan 出版社：Springer-Nature New York Inc 出版日：2019/03/25 裝訂：精裝

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31.

Big Data ― Conceptual Analysis and Applications

作者：Michael Z. Zgurovsky; Yuriy P. Zaychenko 出版社：Springer-Nature New York Inc 出版日：2019/03/29 裝訂：精裝

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32.

Big Data Analytics ― A Management Perspective

作者：Francesco Corea 出版社：Springer-Verlag New York Inc 出版日：2016/06/25 裝訂：精裝

This book is about innovation, big data, and data science seen from a business perspective. Big data is a buzzword nowadays, and there is a growing necessity within practitioners to understand better

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33.

Astronomy and Big Data ― A Data Clustering Approach to Identifying Uncertain Galaxy Morphology

作者：Kieran Jay Edwards; Mohamed Medhat Gaber 出版社：Springer-Verlag New York Inc 出版日：2014/04/29 裝訂：精裝

With the onset of massive cosmological data collection through media such as the Sloan Digital Sky Survey (SDSS), galaxy classification has been accomplished for the most part with the help of citizen

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34.

Quantum Computing ― An Environment for Intelligent Large Scale Real Application

作者：Aboul Ella Hassanien (EDT); Mohamed Elhoseny (EDT); Janusz Kacprzyk (EDT) 出版社：Springer-Verlag New York Inc 出版日：2017/10/24 裝訂：精裝

This book highlights practical quantum key distribution systems and research on the implementations of next-generation quantum communication, as well as photonic quantum device technologies. It discus

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35.

Internet of Things ― Novel Advances and Envisioned Applications

作者：D. P. Acharjya (EDT); M. Kalaiselvi Geetha (EDT); Sugata Sanyal (EDT) 出版社：Springer-Verlag New York Inc 出版日：2017/04/27 裝訂：精裝

This book focuses on a combination of theoretical advances in the Internet of Things, cloud computing and its real-life applications to serve society. The book discusses technological innovations, aut

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36.

Internet of Things and Big Data Technologies for Next Generation Healthcare

作者：Chintan Bhatt (EDT); Nilanjan Dey (EDT); Amira S. Ashour (EDT) 出版社：Springer-Verlag New York Inc 出版日：2017/01/09 裝訂：精裝

This comprehensive book focuses on better big-data security for healthcare organizations. Following an extensive introduction to the Internet of Things (IoT) in healthcare including challenging topics

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37.

Data Science in Practice

作者：Alan Said (EDT); Vicenc Torra (EDT) 出版社：Springer-Nature New York Inc 出版日：2018/09/27 裝訂：精裝

This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science. We have grown accustomed to seeing these terms mentioned time and

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38.

Information Granularity, Big Data, and Computational Intelligence

作者：Witold Pedrycz (EDT); Shyi-ming Chen (EDT) 出版社：Springer-Verlag New York Inc 出版日：2014/07/29 裝訂：精裝

The recent pursuits emerging in the realm of big data processing, interpretation, collection and organization have emerged in numerous sectors including business, industry and government organizations

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39.

Data Privacy ― Foundations, New Developments and the Big Data Challenge

作者：Vicenc Torra 出版社：Springer-Verlag New York Inc 出版日：2017/05/29 裝訂：精裝

This book offers a broad, cohesive overview of the field of data privacy. It discusses, from a technological perspective, the problems and solutions of the three main communities working on data priva

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40.

Big Data Optimization ― Recent Developments and Challenges

作者：Ali Emrouznejad (EDT) 出版社：Springer-Verlag New York Inc 出版日：2016/06/07 裝訂：精裝

Themain objective of this book is to provide the necessary background to work withbig data by introducing some novel optimization algorithms and codes capable ofworking in the big data setting as well

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共59 筆
3 頁
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縮小範圍

三民網路書店 / 搜尋結果

搜尋條件

Rule Based Systems for Big Data

Cloud Computing for Geospatial Big Data Analytics ― Intelligent Edge, Fog and Mist Computing

Granular Computing Based Machine Learning ― A Big Data Processing Approach

Data Mining and Knowledge Discovery for Big Data ― Methodologies, Challenge and Opportunities

Recommender System for Improving Customer Loyalty

Big Data ― A Primer

Evolutionary Decision Trees in Large-scale Data Mining

Data Science Landscape ― Towards Research Standards and Protocols

Concepts and Methods for a Librarian of the Web

Advances in Deep Learning

Big Data ― Conceptual Analysis and Applications

Big Data Analytics ― A Management Perspective

Astronomy and Big Data ― A Data Clustering Approach to Identifying Uncertain Galaxy Morphology

Quantum Computing ― An Environment for Intelligent Large Scale Real Application

Internet of Things ― Novel Advances and Envisioned Applications

Internet of Things and Big Data Technologies for Next Generation Healthcare

Data Science in Practice

Information Granularity, Big Data, and Computational Intelligence

Data Privacy ― Foundations, New Developments and the Big Data Challenge

Big Data Optimization ― Recent Developments and Challenges