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2020~2021 （1）

2018~2019 （30）

2016~2017 （15）

2016年以前（13）

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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）

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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，1/3頁

Highlighting the Importance of Big Data Management and Analysis for Various Applications

作者：Mohammad Moshirpour (EDT); Behrouz Far (EDT); Reda Alhajj (EDT) 出版社：Springer Verlag 出版日：2017/09/07 裝訂：精裝

This book addresses the impacts of various types of services such as infrastructure, platforms, software, and business processes that cloud computing and Big Data have introduced into business. Featur

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Towards Analytical Techniques for Optimizing Knowledge Acquisition, Processing, Propagation, and Use in Cyberinfrastructure and Big Data

作者：L. Octavio Lerma; Vladik Kreinovich 出版社：Springer-Verlag New York Inc 出版日：2017/09/01 裝訂：精裝

This book describes analytical techniques for optimizing knowledge acquisition, processing, and propagation, especially in the contexts of cyber-infrastructure and big data. Further, it presents easy-

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Intelligent Agents in Data-intensive Computing

作者：Joanna Kolodziej (EDT); Luis Correia (EDT); Jos?M. Molina (EDT) 出版社：Springer Verlag 出版日：2015/09/30 裝訂：精裝

This book presents new approaches that advance research in all aspects of agent-based models, technologies, simulations and implementations for data intensive applications. The nine chapters contain a

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Techniques and Environments for Big Data Analysis ― Parallel, Cloud, and Grid Computing

作者：B. S. P. Mishra (EDT); Satchidananda Dehuri (EDT); Euiwhan Kim (EDT); Gi-name Wang (EDT) 出版社：Springer-Verlag New York Inc 出版日：2016/02/16 裝訂：精裝

This volume is aiming at a wide range of readers and researchers in the area of Big Data by presenting the recent advances in the fields of Big Data Analysis, as well as the techniques and tools used&

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Big Data for the Greater Good

作者：Ali Emrouznejad (EDT); Vincent Charles (EDT) 出版社：Springer-Nature New York Inc 出版日：2018/07/26 裝訂：精裝

This book highlights some of the most fascinating current uses, thought-provoking changes, and biggest challenges that Big Data means for our society. The explosive growth of data and advances in Big

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Modeling and Simulation in Hpc and Cloud Systems

作者：Joanna Kolodziej (EDT); Florin Pop (EDT); Ciprian Dobre (EDT) 出版社：Springer-Verlag New York Inc 出版日：2018/02/08 裝訂：精裝

This book consists of eight chapters, five of which provide a summary of the tutorials and workshops organised as part of the cHiPSet Summer School: High-Performance Modelling and Simulation for Big D

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Cloud Computing for Optimization ― Foundations, Applications, and Challenges

作者：Bhabani Shankar Prasad Mishra (EDT); Himansu Das (EDT); Satchidanand Dehuri (EDT); Alok Kumar Jagadev (EDT) 出版社：Springer-Verlag New York Inc 出版日：2018/03/06 裝訂：精裝

This book discusses harnessing the real power of cloud computing in optimization problems, presenting state-of-the-art computing paradigms, advances in applications, and challenges concerning both the

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Big Data Processing Using Spark in Cloud

作者：Mamta Mittal (EDT); Valentina E. Balas (EDT); Lalit Mohan Goyal (EDT); Raghvendra Kumar (EDT) 出版社：Springer-Nature New York Inc 出版日：2018/06/26 裝訂：精裝

The book describes the emergence of big data technologies and the role of Spark in the entire big data stack. It compares Spark and Hadoop and identifies the shortcomings of Hadoop that have been over

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Text Mining ― Concepts, Implementation, and Big Data Challenge

作者：Taeho Jo 出版社：Springer Nature 出版日：2018/06/20 裝訂：精裝

This book discusses text mining and different ways this type of data mining can be used to find implicit knowledge from text collections. The author provides the guidelines for implementing text minin

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10.

Big Data Analytics ― A Management Perspective

作者：Francesco Corea 出版社：Springer-Nature New York Inc 出版日：2018/06/14 裝訂：平裝

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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11.

Learning from Data Streams in Evolving Environments ― Methods and Applications

作者：Moamar Sayed-mouchaweh (EDT) 出版社：Springer Nature 出版日：2018/08/09 裝訂：精裝

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12.

Environmental Modeling Using Satellite Imaging and Dataset Re-processing

作者：Moses Eterigho Emetere 出版社：Springer Nature 出版日：2019/03/05 裝訂：精裝

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13.

Big Data for the Greater Good

作者：Ali Emrouznejad (EDT); Vincent Charles (EDT) 出版社：Springer-Nature New York Inc 出版日：2018/12/26 裝訂：平裝

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14.

Ubiquitous Computing and Computing Security of Iot

作者：N. Jeyanthi (EDT); Ajith Abraham (EDT); Hamid Mcheick (EDT) 出版社：Springer-Nature New York Inc 出版日：2019/10/26 裝訂：平裝

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15.

Text Mining ― Concepts, Implementation, and Big Data Challenge

作者：Taeho Jo 出版社：Springer Nature 出版日：2019/02/14 裝訂：平裝

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16.

Nonparametric Kernel Density Estimation and Its Computational Aspects

作者：Artur Gramacki 出版社：Springer-Verlag New York Inc 出版日：2018/01/22 裝訂：精裝

This book describes computational problems related to kernel density estimation (KDE) – one of the most important and widely used data smoothing techniques. A very detailed description of novel FFT-ba

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17.

Molecular Computing ― Towards a Novel Computing Architecture for Complex Problem Solving

作者：Weng-long Chang; Athanasios V. Vasilakos 出版社：Springer Verlag 出版日：2014/03/31 裝訂：精裝

This textbook introduces a concise approach to the design of molecular algorithms for students or researchers who are interested in dealing with complex problems. Through numerous examples and exercis

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18.

Pocket Data Mining ― Big Data on Small Devices

作者：Mohamed Medhat Gaber; Frederic Stahl; Joao Bartolo Gomes 出版社：Springer Verlag 出版日：2013/11/30 裝訂：精裝

Owing to continuous advances in the computational power of handheld devices like smartphones and tablet computers, it has become possible to perform Big Data operations including modern data mining pr

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19.

Data Mining for Service

作者：Katsutoshi Yada (EDT) 出版社：Springer-Verlag New York Inc 出版日：2014/01/16 裝訂：精裝

Virtually all nontrivial and modern service related problems and systems involve data volumes and types that clearly fall into what is presently meant as "big data", that is, are huge, heterogeneous,

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20.

Data Science and Big Data ― An Environment of Computational Intelligence

作者：Witold Pedrycz (EDT); Shyi-ming Chen (EDT) 出版社：Springer-Verlag New York Inc 出版日：2017/03/29 裝訂：精裝

This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices

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共59 筆
3 頁
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新基本小六法

縮小範圍

三民網路書店 / 搜尋結果

搜尋條件

Highlighting the Importance of Big Data Management and Analysis for Various Applications

Towards Analytical Techniques for Optimizing Knowledge Acquisition, Processing, Propagation, and Use in Cyberinfrastructure and Big Data

Intelligent Agents in Data-intensive Computing

Techniques and Environments for Big Data Analysis ― Parallel, Cloud, and Grid Computing

Big Data for the Greater Good

Modeling and Simulation in Hpc and Cloud Systems

Cloud Computing for Optimization ― Foundations, Applications, and Challenges

Big Data Processing Using Spark in Cloud

Text Mining ― Concepts, Implementation, and Big Data Challenge

Big Data Analytics ― A Management Perspective

Learning from Data Streams in Evolving Environments ― Methods and Applications

Environmental Modeling Using Satellite Imaging and Dataset Re-processing

Big Data for the Greater Good

Ubiquitous Computing and Computing Security of Iot

Text Mining ― Concepts, Implementation, and Big Data Challenge

Nonparametric Kernel Density Estimation and Its Computational Aspects

Molecular Computing ― Towards a Novel Computing Architecture for Complex Problem Solving

Pocket Data Mining ― Big Data on Small Devices

Data Mining for Service

Data Science and Big Data ― An Environment of Computational Intelligence