Big and Complex Data Analysis

Big and Complex Data Analysis
Author: S. Ejaz Ahmed
Publsiher: Springer
Total Pages: 386
Release: 2017-03-21
ISBN: 3319415735
Category: Mathematics
Language: EN, FR, DE, ES & NL

Big and Complex Data Analysis Book Excerpt:

This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field. The continued and rapid advancement of modern technology now allows scientists to collect data of increasingly unprecedented size and complexity. Examples include epigenomic data, genomic data, proteomic data, high-resolution image data, high-frequency financial data, functional and longitudinal data, and network data. Simultaneous variable selection and estimation is one of the key statistical problems involved in analyzing such big and complex data. The purpose of this book is to stimulate research and foster interaction between researchers in the area of high-dimensional data analysis. More concretely, its goals are to: 1) highlight and expand the breadth of existing methods in big data and high-dimensional data analysis and their potential for the advancement of both the mathematical and statistical sciences; 2) identify important directions for future research in the theory of regularization methods, in algorithmic development, and in methodologies for different application areas; and 3) facilitate collaboration between theoretical and subject-specific researchers.

Analysis of Large and Complex Data

Analysis of Large and Complex Data
Author: Adalbert F.X. Wilhelm,Hans A. Kestler
Publsiher: Springer
Total Pages: 656
Release: 2016-08-03
ISBN: 3319252267
Category: Computers
Language: EN, FR, DE, ES & NL

Analysis of Large and Complex Data Book Excerpt:

This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they all share a strong computational component. The topics addressed are from the following fields: Statistics and Data Analysis; Machine Learning and Knowledge Discovery; Data Analysis in Marketing; Data Analysis in Finance and Economics; Data Analysis in Medicine and the Life Sciences; Data Analysis in the Social, Behavioural, and Health Care Sciences; Data Analysis in Interdisciplinary Domains; Classification and Subject Indexing in Library and Information Science. The book presents selected papers from the Second European Conference on Data Analysis, held at Jacobs University Bremen in July 2014. This conference unites diverse researchers in the pursuit of a common topic, creating truly unique synergies in the process.

Big Data Analytics with R

Big Data Analytics with R
Author: Simon Walkowiak
Publsiher: Packt Publishing
Total Pages: 506
Release: 2016-07-29
ISBN: 9781786466457
Category: Computers
Language: EN, FR, DE, ES & NL

Big Data Analytics with R Book Excerpt:

Complex Data Analytics with Formal Concept Analysis

Complex Data Analytics with Formal Concept Analysis
Author: Rokia Missaoui,Léonard Kwuida,Talel Abdessalem
Publsiher: Springer Nature
Total Pages: 260
Release: 2022-07-31
ISBN: 3030932788
Category: Computers
Language: EN, FR, DE, ES & NL

Complex Data Analytics with Formal Concept Analysis Book Excerpt:

FCA is an important formalism that is associated with a variety of research areas such as lattice theory, knowledge representation, data mining, machine learning, and semantic Web. It is successfully exploited in an increasing number of application domains such as software engineering, information retrieval, social network analysis, and bioinformatics. Its mathematical power comes from its concept lattice formalization in which each element in the lattice captures a formal concept while the whole structure represents a conceptual hierarchy that offers browsing, clustering and association rule mining. Complex data analytics refers to advanced methods and tools for mining and analyzing data with complex structures such as XML/Json data, text and image data, multidimensional data, graphs, sequences and streaming data. It also covers visualization mechanisms used to highlight the discovered knowledge. This edited book examines a set of important and relevant research directions in complex data management, and updates the contribution of the FCA community in analyzing complex and large data such as knowledge graphs and interlinked contexts. For example, Formal Concept Analysis and some of its extensions are exploited, revisited and coupled with recent processing parallel and distributed paradigms to maximize the benefits in analyzing large data.

Big Data of Complex Networks

Big Data of Complex Networks
Author: Matthias Dehmer,Frank Emmert-Streib,Stefan Pickl,Andreas Holzinger
Publsiher: CRC Press
Total Pages: 320
Release: 2016-08-19
ISBN: 1498723624
Category: Computers
Language: EN, FR, DE, ES & NL

Big Data of Complex Networks Book Excerpt:

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 Universität der Bundeswehr München. 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 Universität München. 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.

Big Data Analytics

Big Data Analytics
Author: Soraya Sedkaoui,Mounia Khelfaoui,Nadjat Kadi
Publsiher: CRC Press
Total Pages: 326
Release: 2021-07-05
ISBN: 1000290530
Category: Science
Language: EN, FR, DE, ES & NL

Big Data Analytics Book Excerpt:

This volume explores the diverse applications of advanced tools and technologies of the emerging field of big data and their evidential value in business. It examines the role of analytics tools and methods of using big data in strengthening businesses to meet today’s information challenges and shows how businesses can adapt big data for effective businesses practices. This volume shows how big data and the use of data analytics is being effectively adopted more frequently, especially in companies that are looking for new methods to develop smarter capabilities and tackle challenges in dynamic processes. Many illustrative case studies are presented that highlight how companies in every sector are now focusing on harnessing data to create a new way of doing business.

PROCESSING ANALYSING LARGE COMPLEX DATA STREAMS USING BIG DATA

PROCESSING   ANALYSING LARGE   COMPLEX DATA STREAMS USING BIG DATA
Author: Ashad Ullah Qureshi
Publsiher: Concepts Books Publication
Total Pages: 44
Release: 2023
ISBN: 1928374650XXX
Category: Education
Language: EN, FR, DE, ES & NL

PROCESSING ANALYSING LARGE COMPLEX DATA STREAMS USING BIG DATA Book Excerpt:

The emerging large datasets have made efficient data processing a much more difficult task for the traditional methodologies. Invariably, datasets continue to increase rapidly in size with time. The purpose of this research is to give an overview of some of the tools and techniques that can be utilized to manage and analyze large datasets. We propose a faster way to catalogue and retrieve data by creating a directory file – more specifically, an improved method that would allow file retrieval based on its time and date. This method eliminates the process of searching the entire content of files and reduces the time it takes to locate the selected data. We also implement the nearest search algorithm in an event where the searched query is not found. The algorithm sorts through data to find the closest points that are within close proximity to the searched query. We also offer an efficient data reduction method that effectively condenses the amount of data. The algorithm enables users to store the desired amount of data in a file and decrease the time in which observations are retrieved for processing. This is achieved by using a reduced standard deviation range to minimize the original data and keeping the dataset to a significant smaller dataset size.

Handbook of Big Data

Handbook of Big Data
Author: Peter Bühlmann,Petros Drineas,Michael Kane,Mark van der Laan
Publsiher: CRC Press
Total Pages: 480
Release: 2016-02-22
ISBN: 1482249081
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Handbook of Big Data Book Excerpt:

Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this handbook presents a carefully curated collection of techniques from both industry and academia. Thus, the text instills a working understanding of key statistical

Analytics in a Big Data World

Analytics in a Big Data World
Author: Bart Baesens
Publsiher: John Wiley & Sons
Total Pages: 256
Release: 2014-04-15
ISBN: 1118892747
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Analytics in a Big Data World Book Excerpt:

The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic. Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics Offers the results of research and the author's personal experience in banking, retail, and government Contains an overview of the visionary ideas and current developments on the strategic use of analytics for business Covers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysis For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities.

Research Anthology on Big Data Analytics Architectures and Applications

Research Anthology on Big Data Analytics  Architectures  and Applications
Author: Management Association, Information Resources
Publsiher: IGI Global
Total Pages: 1988
Release: 2021-09-24
ISBN: 1668436639
Category: Computers
Language: EN, FR, DE, ES & NL

Research Anthology on Big Data Analytics Architectures and Applications Book Excerpt:

Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.

Statistical Learning of Complex Data

Statistical Learning of Complex Data
Author: Francesca Greselin,Laura Deldossi,Luca Bagnato,Maurizio Vichi
Publsiher: Springer Nature
Total Pages: 201
Release: 2019-09-06
ISBN: 3030211401
Category: Mathematics
Language: EN, FR, DE, ES & NL

Statistical Learning of Complex Data Book Excerpt:

This book of peer-reviewed contributions presents the latest findings in classification, statistical learning, data analysis and related areas, including supervised and unsupervised classification, clustering, statistical analysis of mixed-type data, big data analysis, statistical modeling, graphical models and social networks. It covers both methodological aspects as well as applications to a wide range of fields such as economics, architecture, medicine, data management, consumer behavior and the gender gap. In addition, it describes the basic features of the software behind the data analysis results, and provides links to the corresponding codes and data sets where necessary. This book is intended for researchers and practitioners who are interested in the latest developments and applications in the field of data analysis and classification. It gathers selected and peer-reviewed contributions presented at the 11th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society (CLADAG 2017), held in Milan, Italy, on September 13–15, 2017.

Big Data Concepts Methodologies Tools and Applications

Big Data  Concepts  Methodologies  Tools  and Applications
Author: Management Association, Information Resources
Publsiher: IGI Global
Total Pages: 2478
Release: 2016-04-20
ISBN: 1466698411
Category: Computers
Language: EN, FR, DE, ES & NL

Big Data Concepts Methodologies Tools and Applications Book Excerpt:

The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics.

Big Data Analytics

Big Data Analytics
Author: Frank J. Ohlhorst
Publsiher: John Wiley & Sons
Total Pages: 176
Release: 2012-11-28
ISBN: 1118147596
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Big Data Analytics Book Excerpt:

Unique insights to implement big data analytics and reap big returns to your bottom line Focusing on the business and financial value of big data analytics, respected technology journalist Frank J. Ohlhorst shares his insights on the newly emerging field of big data analytics in Big Data Analytics. This breakthrough book demonstrates the importance of analytics, defines the processes, highlights the tangible and intangible values and discusses how you can turn a business liability into actionable material that can be used to redefine markets, improve profits and identify new business opportunities. Reveals big data analytics as the next wave for businesses looking for competitive advantage Takes an in-depth look at the financial value of big data analytics Offers tools and best practices for working with big data Once the domain of large on-line retailers such as eBay and Amazon, big data is now accessible by businesses of all sizes and across industries. From how to mine the data your company collects, to the data that is available on the outside, Big Data Analytics shows how you can leverage big data into a key component in your business's growth strategy.

New Frontiers in High Performance Computing and Big Data

New Frontiers in High Performance Computing and Big Data
Author: G. Fox,V. Getov,L. Grandinetti
Publsiher: IOS Press
Total Pages: 272
Release: 2017-11-14
ISBN: 1614998167
Category: Computers
Language: EN, FR, DE, ES & NL

New Frontiers in High Performance Computing and Big Data Book Excerpt:

For the last four decades, parallel computing platforms have increasingly formed the basis for the development of high performance systems primarily aimed at the solution of intensive computing problems, and the application of parallel computing systems has also become a major factor in furthering scientific research. But such systems also offer the possibility of solving the problems encountered in the processing of large-scale scientific data sets, as well as in the analysis of Big Data in the fields of medicine, social media, marketing, economics etc. This book presents papers from the International Research Workshop on Advanced High Performance Computing Systems, held in Cetraro, Italy, in July 2016. The workshop covered a wide range of topics and new developments related to the solution of intensive and large-scale computing problems, and the contributions included in this volume cover aspects of the evolution of parallel platforms and highlight some of the problems encountered with the development of ever more powerful computing systems. The importance of future large-scale data science applications is also discussed. The book will be of particular interest to all those involved in the development or application of parallel computing systems.

Advancing Big Data Analytics for Healthcare Service Delivery

Advancing Big Data Analytics for Healthcare Service Delivery
Author: Tiko Iyamu
Publsiher: Taylor & Francis
Total Pages: 228
Release: 2022-10-20
ISBN: 1000750566
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Advancing Big Data Analytics for Healthcare Service Delivery Book Excerpt:

In recent years, there has been steady increase in the interest shown in both big data analytics and the use of information technology (IT) solutions to improve healthcare services. Despite the growing interest, there are limited materials, to addressing the needs and challenges posed by the activities and processes including the use of big data. From IT solutions’ perspectives, this book aims to advance the deployment and use of big data analytics to increase patients’ big data usefulness and improve healthcare service delivery. The book provides significant insights and useful guide on how to access and manage big data, in improving healthcare service delivery. The book contributes a fresh perspective, which primarily comes from the complementary use of analytics approach with actor-network theory (ANT), and other techniques, in advancing healthcare service delivery. Accessing and managing healthcare big data have always been a challenging exercise. Due to the sensitivity of the health sector, the focus on patients’ big data is from either technical or social perspective. Thus, the book employs sociotechnical theories, ANT and structuration theory (ST) as lenses to examine and explain the factors that enable and constrain the use of patients’ big data for health services. By doing so, the book brings a different dimension and advance health service delivery. Providing a timely and important contribution to this critical area, this book is a valuable, international resource for academics, postgraduate students and researchers in the areas of IT, big data analytics, data management and health informatics.

Principles of Big Data

Principles of Big Data
Author: Jules J. Berman
Publsiher: Newnes
Total Pages: 288
Release: 2013-05-20
ISBN: 0124047246
Category: Computers
Language: EN, FR, DE, ES & NL

Principles of Big Data Book Excerpt:

Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endowed with semantic support (i.e., organized in classes of uniquely identified data objects). Readers will learn how their data can be integrated with data from other resources, and how the data extracted from Big Data resources can be used for purposes beyond those imagined by the data creators. Learn general methods for specifying Big Data in a way that is understandable to humans and to computers Avoid the pitfalls in Big Data design and analysis Understand how to create and use Big Data safely and responsibly with a set of laws, regulations and ethical standards that apply to the acquisition, distribution and integration of Big Data resources

Open Source Software for Statistical Analysis of Big Data Emerging Research and Opportunities

Open Source Software for Statistical Analysis of Big Data  Emerging Research and Opportunities
Author: Segall, Richard S.,Niu, Gao
Publsiher: IGI Global
Total Pages: 237
Release: 2020-02-21
ISBN: 1799827704
Category: Computers
Language: EN, FR, DE, ES & NL

Open Source Software for Statistical Analysis of Big Data Emerging Research and Opportunities Book Excerpt:

With the development of computing technologies in today’s modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines.

Handbook of Research on Pattern Engineering System Development for Big Data Analytics

Handbook of Research on Pattern Engineering System Development for Big Data Analytics
Author: Tiwari, Vivek,Thakur, Ramjeevan Singh,Tiwari, Basant,Gupta, Shailendra
Publsiher: IGI Global
Total Pages: 396
Release: 2018-04-20
ISBN: 1522538712
Category: Computers
Language: EN, FR, DE, ES & NL

Handbook of Research on Pattern Engineering System Development for Big Data Analytics Book Excerpt:

Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries. It is necessary to develop new techniques for managing data in order to ensure adequate usage. The Handbook of Research on Pattern Engineering System Development for Big Data Analytics is a critical scholarly resource that examines the incorporation of pattern management in business technologies as well as decision making and prediction process through the use of data management and analysis. Featuring coverage on a broad range of topics such as business intelligence, feature extraction, and data collection, this publication is geared towards professionals, academicians, practitioners, and researchers seeking current research on the development of pattern management systems for business applications.

Big Data

Big Data
Author: Amandeep Singh,Rohit Bansal,Sandhir Sharma
Publsiher: Walter de Gruyter GmbH & Co KG
Total Pages: 250
Release: 2022-09-06
ISBN: 3110733781
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Big Data Book Excerpt:

Imagine being able to target an audience made up of highly qualified and purchase-ready prospects and easily building them into loyal clients by anticipating their needs and hence offering true value. This is the power of big data for digital marketing. Big Data: A Roadmap for Successful Digital Marketing explores recent trends in the use of big data to predict consumer behavior, strategies to engage online customers, integration of big data with other data sources, and its applications in social media analytics, mobile marketing, search engine optimization and customer relationship management. As the marketing world moves into a data-focused future, the success of marketing efforts will be wholly based on attention to detail in data analysis and effectively acting on insights in order to implement changes that will deliver improved results. This book will help professionals succeed in their digital marketing efforts as well as provide food for thought for students and researchers in the fields of digital marketing, customer behavior and big data analytics.

Big Data Analytics

Big Data Analytics
Author: V. B. Aggarwal,Vasudha Bhatnagar,Durgesh Kumar Mishra
Publsiher: Springer
Total Pages: 766
Release: 2017-10-03
ISBN: 9811066205
Category: Computers
Language: EN, FR, DE, ES & NL

Big Data Analytics Book Excerpt:

This volume comprises the select proceedings of the annual convention of the Computer Society of India. Divided into 10 topical volumes, the proceedings present papers on state-of-the-art research, surveys, and succinct reviews. The volumes cover diverse topics ranging from communications networks to big data analytics, and from system architecture to cyber security. This volume focuses on Big Data Analytics. The contents of this book will be useful to researchers and students alike.