Advances In Data Analysis

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Advances in Data Science

Ilke Demir,Yifei Lou,Xu Wang,Kathrin Welker
Advances in Data Science Book PDF

Author : Ilke Demir,Yifei Lou,Xu Wang,Kathrin Welker
Publisher : Springer Nature
Page : 374 pages
File Size : 44,9 Mb
Release : 2021-12-03
Category : Mathematics
ISBN : 9783030798918

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Advances in Data Science by Ilke Demir,Yifei Lou,Xu Wang,Kathrin Welker Pdf

This volume highlights recent advances in data science, including image processing and enhancement on large data, shape analysis and geometry processing in 2D/3D, exploration and understanding of neural networks, and extensions to atypical data types such as social and biological signals. The contributions are based on discussions from two workshops under Association for Women in Mathematics (AWM), namely the second Women in Data Science and Mathematics (WiSDM) Research Collaboration Workshop that took place between July 29 and August 2, 2019 at the Institute for Computational and Experimental Research in Mathematics (ICERM) in Providence, Rhode Island, and the third Women in Shape (WiSh) Research Collaboration Workshop that took place between July 16 and 20, 2018 at Trier University in Robert-Schuman-Haus, Trier, Germany. These submissions, seeded by working groups at the conference, form a valuable source for readers who are interested in ideas and methods developed in interdisciplinary research fields. The book features ideas, methods, and tools developed through a broad range of domains, ranging from theoretical analysis on graph neural networks to applications in health science. It also presents original results tackling real-world problems that often involve complex data analysis on large multi-modal data sources.

New Advances in Statistics and Data Science

Ding-Geng Chen,Zhezhen Jin,Gang Li,Yi Li,Aiyi Liu,Yichuan Zhao
New Advances in Statistics and Data Science Book PDF

Author : Ding-Geng Chen,Zhezhen Jin,Gang Li,Yi Li,Aiyi Liu,Yichuan Zhao
Publisher : Springer
Page : 348 pages
File Size : 42,8 Mb
Release : 2018-01-17
Category : Mathematics
ISBN : 9783319694160

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New Advances in Statistics and Data Science by Ding-Geng Chen,Zhezhen Jin,Gang Li,Yi Li,Aiyi Liu,Yichuan Zhao Pdf

This book is comprised of the presentations delivered at the 25th ICSA Applied Statistics Symposium held at the Hyatt Regency Atlanta, on June 12-15, 2016. This symposium attracted more than 700 statisticians and data scientists working in academia, government, and industry from all over the world. The theme of this conference was the “Challenge of Big Data and Applications of Statistics,” in recognition of the advent of big data era, and the symposium offered opportunities for learning, receiving inspirations from old research ideas and for developing new ones, and for promoting further research collaborations in the data sciences. The invited contributions addressed rich topics closely related to big data analysis in the data sciences, reflecting recent advances and major challenges in statistics, business statistics, and biostatistics. Subsequently, the six editors selected 19 high-quality presentations and invited the speakers to prepare full chapters for this book, which showcases new methods in statistics and data sciences, emerging theories, and case applications from statistics, data science and interdisciplinary fields. The topics covered in the book are timely and have great impact on data sciences, identifying important directions for future research, promoting advanced statistical methods in big data science, and facilitating future collaborations across disciplines and between theory and practice.

Machine Learning Paradigms

Maria Virvou,Efthimios Alepis,George A. Tsihrintzis,Lakhmi C. Jain
Machine Learning Paradigms Book PDF

Author : Maria Virvou,Efthimios Alepis,George A. Tsihrintzis,Lakhmi C. Jain
Publisher : Springer
Page : 223 pages
File Size : 54,9 Mb
Release : 2019-03-16
Category : Technology & Engineering
ISBN : 9783030137434

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Machine Learning Paradigms by Maria Virvou,Efthimios Alepis,George A. Tsihrintzis,Lakhmi C. Jain Pdf

This book presents recent machine learning paradigms and advances in learning analytics, an emerging research discipline concerned with the collection, advanced processing, and extraction of useful information from both educators’ and learners’ data with the goal of improving education and learning systems. In this context, internationally respected researchers present various aspects of learning analytics and selected application areas, including: • Using learning analytics to measure student engagement, to quantify the learning experience and to facilitate self-regulation; • Using learning analytics to predict student performance; • Using learning analytics to create learning materials and educational courses; and • Using learning analytics as a tool to support learners and educators in synchronous and asynchronous eLearning. The book offers a valuable asset for professors, researchers, scientists, engineers and students of all disciplines. Extensive bibliographies at the end of each chapter guide readers to probe further into their application areas of interest.

Advances in Computational Algorithms and Data Analysis

Sio-Iong Ao,Burghard B. Rieger,Su-Shing Chen
Advances in Computational Algorithms and Data Analysis Book PDF

Author : Sio-Iong Ao,Burghard B. Rieger,Su-Shing Chen
Publisher : Springer Science & Business Media
Page : 575 pages
File Size : 51,8 Mb
Release : 2008-09-28
Category : Computers
ISBN : 9781402089190

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Advances in Computational Algorithms and Data Analysis by Sio-Iong Ao,Burghard B. Rieger,Su-Shing Chen Pdf

Advances in Computational Algorithms and Data Analysis offers state of the art tremendous advances in computational algorithms and data analysis. The selected articles are representative in these subjects sitting on the top-end-high technologies. The volume serves as an excellent reference work for researchers and graduate students working on computational algorithms and data analysis.

Advances in Data Analysis, Data Handling and Business Intelligence

Andreas Fink,Berthold Lausen,Wilfried Seidel,Alfred Ultsch
Advances in Data Analysis Data Handling and Business Intelligence Book PDF

Author : Andreas Fink,Berthold Lausen,Wilfried Seidel,Alfred Ultsch
Publisher : Springer Science & Business Media
Page : 767 pages
File Size : 52,8 Mb
Release : 2009-10-14
Category : Computers
ISBN : 9783642010446

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Advances in Data Analysis, Data Handling and Business Intelligence by Andreas Fink,Berthold Lausen,Wilfried Seidel,Alfred Ultsch Pdf

Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of computer science, artificial intelligence, mathematics, and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as in marketing, finance, economics, engineering, linguistics, archaeology, musicology, medical science, and biology. This volume contains the revised versions of selected papers presented during the 32nd Annual Conference of the German Classification Society (Gesellschaft für Klassifikation, GfKl). The conference, which was organized in cooperation with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), was hosted by Helmut-Schmidt-University, Hamburg, Germany, in July 2008.

Handbook of Research on Advances in Data Analytics and Complex Communication Networks

P. Venkata Krishna
Handbook of Research on Advances in Data Analytics and Complex Communication Networks Book PDF

Author : P. Venkata Krishna
Publisher : IGI Global
Page : 297 pages
File Size : 47,7 Mb
Release : 2021
Category : Computers
ISBN : 9781799876878

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Handbook of Research on Advances in Data Analytics and Complex Communication Networks by P. Venkata Krishna Pdf

"This edited book discusses data analytics and complex communication networks and recommends new methodologies, system architectures, and other solutions to prevail over the current limitations faced by the field"--

Advances in Data Science

Edwin Diday,Rong Guan,Gilbert Saporta,Huiwen Wang
Advances in Data Science Book PDF

Author : Edwin Diday,Rong Guan,Gilbert Saporta,Huiwen Wang
Publisher : John Wiley & Sons
Page : 225 pages
File Size : 51,9 Mb
Release : 2020-01-09
Category : Business & Economics
ISBN : 9781119694960

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Advances in Data Science by Edwin Diday,Rong Guan,Gilbert Saporta,Huiwen Wang Pdf

Data science unifies statistics, data analysis and machine learning to achieve a better understanding of the masses of data which are produced today, and to improve prediction. Special kinds of data (symbolic, network, complex, compositional) are increasingly frequent in data science. These data require specific methodologies, but there is a lack of reference work in this field. Advances in Data Science fills this gap. It presents a collection of up-to-date contributions by eminent scholars following two international workshops held in Beijing and Paris. The 10 chapters are organized into four parts: Symbolic Data, Complex Data, Network Data and Clustering. They include fundamental contributions, as well as applications to several domains, including business and the social sciences.

Recent Advances in Data Science

Henry Han,Tie Wei,Wenbin Liu,Fei Han
Recent Advances in Data Science Book PDF

Author : Henry Han,Tie Wei,Wenbin Liu,Fei Han
Publisher : Springer Nature
Page : 295 pages
File Size : 49,9 Mb
Release : 2020-09-28
Category : Computers
ISBN : 9789811587603

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Recent Advances in Data Science by Henry Han,Tie Wei,Wenbin Liu,Fei Han Pdf

This book constitutes selected papers of the ​Third International Conference on Data Science, Medicine and Bioinformatics, IDMB 2019, held in Nanning, China, in June 2019. The 19 full papers and 1 short paper were carefully reviewed and selected from 93 submissions. The papers are organized according to the following topical sections: business data science: fintech, management, and analytics.- health and biological data science.- novel data science theory and applications.

Advances in Shipping Data Analysis and Modeling

César Ducruet
Advances in Shipping Data Analysis and Modeling Book PDF

Author : César Ducruet
Publisher : Routledge
Page : 609 pages
File Size : 44,7 Mb
Release : 2017-11-06
Category : Business & Economics
ISBN : 9781351985086

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Advances in Shipping Data Analysis and Modeling by César Ducruet Pdf

Shipping flows – maritime ‘footprints’ – remain underexplored in the existing literature despite the crucial importance of freight transport for global trade and economic development. Additionally, decision-makers lack a comprehensive view on how shipping flows can be measured, analyzed, and mapped in order to support their policies and strategies. This interdisciplinary volume, drawing on an international cast-list of experts, explores a number of crucial issues in shipping data estimation, construction, collection, mining, analysis, visualization, and mapping. Advances in Shipping Data Analysis and Modeling delivers several key messages. First, that in a world of just-in-time delivery and rapid freight transit, it is important to bear in mind the long-term roots of current trends as well as foreseeable future developments because shipping patterns exhibit recurrent, if not cyclical and path-dependent, dynamics. Second, shipping flows are currently often understood at the micro-level of intra-urban logistics delivery and at the national level using commodity flow analyses, but this volume emphasizes the need to expand the scale of analysis by offering new evidence on the changing distribution of global and international shipping flows, based on actual data. Third, that this multidisciplinary approach to shipping flows can shed important light on crucial issues that go beyond shipping itself including climate change, urban development, technological change, commodity specialization, digital humanities, navigation patterns, international trade, and regional growth. Edited by experts in their field, this volume is of upmost importance to those who study industrial economics, shipping industries and economic and transport geography.

Advances in Data Science: Methodologies and Applications

Gloria Phillips-Wren,Anna Esposito,Lakhmi C. Jain
Advances in Data Science Methodologies and Applications Book PDF

Author : Gloria Phillips-Wren,Anna Esposito,Lakhmi C. Jain
Publisher : Springer Nature
Page : 333 pages
File Size : 48,9 Mb
Release : 2020-08-26
Category : Technology & Engineering
ISBN : 9783030518707

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Advances in Data Science: Methodologies and Applications by Gloria Phillips-Wren,Anna Esposito,Lakhmi C. Jain Pdf

Big data and data science are transforming our world today in ways we could not have imagined at the beginning of the twenty-first century. The accompanying wave of innovation has sparked advances in healthcare, engineering, business, science, and human perception, among others. The tremendous advances in computing power and intelligent techniques have opened many opportunities for managing data and investigating data in virtually every field, and the scope of data science is expected to grow over the next decade. These future research achievements will solve old challenges and create new opportunities for growth and development. Thus, the research presented in this book is interdisciplinary and covers themes embracing emotions, artificial intelligence, robotics applications, sentiment analysis, smart city problems, assistive technologies, speech melody, and fall and abnormal behavior detection. The book is directed to the researchers, practitioners, professors and students interested in recent advances in methodologies and applications of data science. An introduction to the topic is provided, and research challenges and future research opportunities are highlighted throughout.

Recent Advances in Functional Data Analysis and Related Topics

Frédéric Ferraty
Recent Advances in Functional Data Analysis and Related Topics Book PDF

Author : Frédéric Ferraty
Publisher : Springer Science & Business Media
Page : 322 pages
File Size : 47,6 Mb
Release : 2011-06-15
Category : Mathematics
ISBN : 9783790827361

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Recent Advances in Functional Data Analysis and Related Topics by Frédéric Ferraty Pdf

New technologies allow us to handle increasingly large datasets, while monitoring devices are becoming ever more sophisticated. This high-tech progress produces statistical units sampled over finer and finer grids. As the measurement points become closer, the data can be considered as observations varying over a continuum. This intrinsic continuous data (called functional data) can be found in various fields of science, including biomechanics, chemometrics, econometrics, environmetrics, geophysics, medicine, etc. The failure of standard multivariate statistics to analyze such functional data has led the statistical community to develop appropriate statistical methodologies, called Functional Data Analysis (FDA). Today, FDA is certainly one of the most motivating and popular statistical topics due to its impact on crucial societal issues (health, environment, etc). This is why the FDA statistical community is rapidly growing, as are the statistical developments . Therefore, it is necessary to organize regular meetings in order to provide a state-of-art review of the recent advances in this fascinating area. This book collects selected and extended papers presented at the second International Workshop of Functional and Operatorial Statistics (Santander, Spain, 16-18 June, 2011), in which many outstanding experts on FDA will present the most relevant advances in this pioneering statistical area. Undoubtedly, these proceedings will be an essential resource for academic researchers, master students, engineers, and practitioners not only in statistics but also in numerous related fields of application.

Advances in Meta-Analysis

Terri Pigott
Advances in Meta Analysis Book PDF

Author : Terri Pigott
Publisher : Springer Science & Business Media
Page : 166 pages
File Size : 50,5 Mb
Release : 2012-01-31
Category : Mathematics
ISBN : 9781461422778

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Advances in Meta-Analysis by Terri Pigott Pdf

The subject of the book is advanced statistical analyses for quantitative research synthesis (meta-analysis), and selected practical issues relating to research synthesis that are not covered in detail in the many existing introductory books on research synthesis (or meta-analysis). Complex statistical issues are arising more frequently as the primary research that is summarized in quantitative syntheses itself becomes more complex, and as researchers who are conducting meta-analyses become more ambitious in the questions they wish to address. Also as researchers have gained more experience in conducting research syntheses, several key issues have persisted and now appear fundamental to the enterprise of summarizing research. Specifically the book describes multivariate analyses for several indices commonly used in meta-analysis (e.g., correlations, effect sizes, proportions and/or odds ratios), will outline how to do power analysis for meta-analysis (again for each of the different kinds of study outcome indices), and examines issues around research quality and research design and their roles in synthesis. For each of the statistical topics we will examine the different possible statistical models (i.e., fixed, random, and mixed models) that could be adopted by a researcher. In dealing with the issues of study quality and research design it covers a number of specific topics that are of broad concern to research synthesists. In many fields a current issue is how to make sense of results when studies using several different designs appear in a research literature (e.g., Morris & Deshon, 1997, 2002). In education and other social sciences a critical aspect of this issue is how one might incorporate qualitative (e.g., case study) research within a synthesis. In medicine, related issues concern whether and how to summarize observational studies, and whether they should be combined with randomized controlled trials (or even if they should be combined at all). For each topic, included is a worked example (e.g., for the statistical analyses) and/or a detailed description of a published research synthesis that deals with the practical (non-statistical) issues covered.

Classification, Clustering, and Data Analysis

Krzystof Jajuga,Andrzej Sokolowski,Hans-Hermann Bock
Classification Clustering and Data Analysis Book PDF

Author : Krzystof Jajuga,Andrzej Sokolowski,Hans-Hermann Bock
Publisher : Springer Science & Business Media
Page : 468 pages
File Size : 51,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642561818

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Classification, Clustering, and Data Analysis by Krzystof Jajuga,Andrzej Sokolowski,Hans-Hermann Bock Pdf

The book presents a long list of useful methods for classification, clustering and data analysis. By combining theoretical aspects with practical problems, it is designed for researchers as well as for applied statisticians and will support the fast transfer of new methodological advances to a wide range of applications.

Advances in Intelligent Data Analysis and Applications

Jeng-Shyang Pan,Valentina Emilia Balas,Chien-Ming Chen
Advances in Intelligent Data Analysis and Applications Book PDF

Author : Jeng-Shyang Pan,Valentina Emilia Balas,Chien-Ming Chen
Publisher : Springer Nature
Page : 379 pages
File Size : 51,8 Mb
Release : 2021-11-25
Category : Technology & Engineering
ISBN : 9789811650369

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Advances in Intelligent Data Analysis and Applications by Jeng-Shyang Pan,Valentina Emilia Balas,Chien-Ming Chen Pdf

This book constitutes the Proceeding of the Sixth International Conference on Intelligent Data Analysis and Applications, October 15–18, 2019, Arad, Romania. This edition is technically co-sponsored by “Aurel Vlaicu” University of Arad, Romania, Southwest Jiaotong University, Fujian University of Technology, Chang’an University, Shandong University of Science and Technology, Fujian Provincial Key Lab of Big Data Mining and Applications, and National Demonstration Center for Experimental Electronic Information and Electrical Technology Education (Fujian University of Technology), China, Romanian Academy, and General Association of Engineers in Romania - Arad Section. The book covers a range of topics: Machine Learning, Intelligent Control, Pattern Recognition, Computational Intelligence, Signal Analysis, Modeling and Visualization, Multimedia Sensing and Sensory Systems, Signal control, Imaging and Processing, Information System Security, Cryptography and Cryptanalysis, Databases and Data Mining, Information Hiding, Cloud Computing, Information Retrieval and Integration, Robotics, Control, Agents, Command, Control, Communication and Computers (C4), Swarming Technology, Sensor Technology, Smart cities. The book offers a timely, board snapshot of new development including trends and challenges that are yielding recent research directions in different areas of intelligent data analysis and applications. The book provides useful information to professors, researchers, and graduated students in area of intelligent data analysis and applications.

Advances in Robotics, Automation and Data Analytics

Jessnor Arif Mat Jizat,Ismail Mohd Khairuddin,Mohd Azraai Mohd Razman,Ahmad Fakhri Ab. Nasir,Mohamad Shaiful Abdul Karim,Abdul Aziz Jaafar,Lim Wei Hong,Anwar P. P. Abdul Majeed,Pengcheng Liu,Hyun Myung,Han-Lim Choi,Gian-Antonio Susto
Advances in Robotics Automation and Data Analytics Book PDF

Author : Jessnor Arif Mat Jizat,Ismail Mohd Khairuddin,Mohd Azraai Mohd Razman,Ahmad Fakhri Ab. Nasir,Mohamad Shaiful Abdul Karim,Abdul Aziz Jaafar,Lim Wei Hong,Anwar P. P. Abdul Majeed,Pengcheng Liu,Hyun Myung,Han-Lim Choi,Gian-Antonio Susto
Publisher : Springer Nature
Page : 415 pages
File Size : 52,5 Mb
Release : 2021-03-10
Category : Technology & Engineering
ISBN : 9783030709174

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Advances in Robotics, Automation and Data Analytics by Jessnor Arif Mat Jizat,Ismail Mohd Khairuddin,Mohd Azraai Mohd Razman,Ahmad Fakhri Ab. Nasir,Mohamad Shaiful Abdul Karim,Abdul Aziz Jaafar,Lim Wei Hong,Anwar P. P. Abdul Majeed,Pengcheng Liu,Hyun Myung,Han-Lim Choi,Gian-Antonio Susto Pdf

This book presents essentially a collection of proceedings that deliberate on the key challenges and recent trends on robotics, automation and data analytics which are the pillars of Industry 4.0. Solutions that are employed in the multitude spectra of innovative robotics & automation and data analytics are discussed. The readers are expected to gain an insightful view on the current trends, issues, mitigating factors as well as solutions from the book. This book consists of selected papers presented at the 2nd International Conference on Innovative Technology, Engineering and Sciences 2020 (iCITES) hosted virtually by Universiti Malaysia Pahang on 22nd December 2020. iCITES is a biennial conference, aimed at building a platform that allows relevant stakeholders to share and discuss their latest researches, ideas and survey reports from theoretical to a practical standpoint especially in the Innovative Robotics & Automation and Data Analytics tracks which was published in this book.