Data Cleaning

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Publisher : Morgan & Claypool
ISBN 13 : 1450371558
Total Pages : 284 pages
Book Rating : 4.4/5 (53 download)

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Book Synopsis Data Cleaning by : Ihab F. Ilyas

Download or read book Data Cleaning written by Ihab F. Ilyas and published by Morgan & Claypool. This book was released on 2019-06-18 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an overview of the end-to-end data cleaning process. Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and incorrect business decisions. Poor data across businesses and the U.S. government are reported to cost trillions of dollars a year. Multiple surveys show that dirty data is the most common barrier faced by data scientists. Not surprisingly, developing effective and efficient data cleaning solutions is challenging and is rife with deep theoretical and engineering problems. This book is about data cleaning, which is used to refer to all kinds of tasks and activities to detect and repair errors in the data. Rather than focus on a particular data cleaning task, this book describes various error detection and repair methods, and attempts to anchor these proposals with multiple taxonomies and views. Specifically, it covers four of the most common and important data cleaning tasks, namely, outlier detection, data transformation, error repair (including imputing missing values), and data deduplication. Furthermore, due to the increasing popularity and applicability of machine learning techniques, it includes a chapter that specifically explores how machine learning techniques are used for data cleaning, and how data cleaning is used to improve machine learning models. This book is intended to serve as a useful reference for researchers and practitioners who are interested in the area of data quality and data cleaning. It can also be used as a textbook for a graduate course. Although we aim at covering state-of-the-art algorithms and techniques, we recognize that data cleaning is still an active field of research and therefore provide future directions of research whenever appropriate.

Database Internals

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492040304
Total Pages : 376 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Database Internals by : Alex Petrov

Download or read book Database Internals written by Alex Petrov and published by "O'Reilly Media, Inc.". This book was released on 2019-09-13 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed. This book examines: Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency

Big Data Management and Processing

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Publisher : CRC Press
ISBN 13 : 1498768083
Total Pages : 489 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Big Data Management and Processing by : Kuan-Ching Li

Download or read book Big Data Management and Processing written by Kuan-Ching Li and published by CRC Press. This book was released on 2017-05-19 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the Foreword: "Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes in the field of Big Data. The book, which probes many issues related to this exciting and rapidly growing field, covers processing, management, analytics, and applications... [It] is a very valuable addition to the literature. It will serve as a source of up-to-date research in this continuously developing area. The book also provides an opportunity for researchers to explore the use of advanced computing technologies and their impact on enhancing our capabilities to conduct more sophisticated studies." ---Sartaj Sahni, University of Florida, USA "Big Data Management and Processing covers the latest Big Data research results in processing, analytics, management and applications. Both fundamental insights and representative applications are provided. This book is a timely and valuable resource for students, researchers and seasoned practitioners in Big Data fields. --Hai Jin, Huazhong University of Science and Technology, China Big Data Management and Processing explores a range of big data related issues and their impact on the design of new computing systems. The twenty-one chapters were carefully selected and feature contributions from several outstanding researchers. The book endeavors to strike a balance between theoretical and practical coverage of innovative problem solving techniques for a range of platforms. It serves as a repository of paradigms, technologies, and applications that target different facets of big data computing systems. The first part of the book explores energy and resource management issues, as well as legal compliance and quality management for Big Data. It covers In-Memory computing and In-Memory data grids, as well as co-scheduling for high performance computing applications. The second part of the book includes comprehensive coverage of Hadoop and Spark, along with security, privacy, and trust challenges and solutions. The latter part of the book covers mining and clustering in Big Data, and includes applications in genomics, hospital big data processing, and vehicular cloud computing. The book also analyzes funding for Big Data projects.

Data Analytics

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Publisher : CRC Press
ISBN 13 : 0429820909
Total Pages : 442 pages
Book Rating : 4.4/5 (298 download)

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Book Synopsis Data Analytics by : Mohiuddin Ahmed

Download or read book Data Analytics written by Mohiuddin Ahmed and published by CRC Press. This book was released on 2018-09-21 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: Large data sets arriving at every increasing speeds require a new set of efficient data analysis techniques. Data analytics are becoming an essential component for every organization and technologies such as health care, financial trading, Internet of Things, Smart Cities or Cyber Physical Systems. However, these diverse application domains give rise to new research challenges. In this context, the book provides a broad picture on the concepts, techniques, applications, and open research directions in this area. In addition, it serves as a single source of reference for acquiring the knowledge on emerging Big Data Analytics technologies.

Algorithms for Data and Computation Privacy

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Publisher : Springer Nature
ISBN 13 : 3030588963
Total Pages : 404 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Algorithms for Data and Computation Privacy by : Alex X. Liu

Download or read book Algorithms for Data and Computation Privacy written by Alex X. Liu and published by Springer Nature. This book was released on 2020-11-28 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the state-of-the-art algorithms for data and computation privacy. It mainly focuses on searchable symmetric encryption algorithms and privacy preserving multi-party computation algorithms. This book also introduces algorithms for breaking privacy, and gives intuition on how to design algorithm to counter privacy attacks. Some well-designed differential privacy algorithms are also included in this book. Driven by lower cost, higher reliability, better performance, and faster deployment, data and computing services are increasingly outsourced to clouds. In this computing paradigm, one often has to store privacy sensitive data at parties, that cannot fully trust and perform privacy sensitive computation with parties that again cannot fully trust. For both scenarios, preserving data privacy and computation privacy is extremely important. After the Facebook–Cambridge Analytical data scandal and the implementation of the General Data Protection Regulation by European Union, users are becoming more privacy aware and more concerned with their privacy in this digital world. This book targets database engineers, cloud computing engineers and researchers working in this field. Advanced-level students studying computer science and electrical engineering will also find this book useful as a reference or secondary text.

Making Databases Work

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Publisher : Morgan & Claypool
ISBN 13 : 1947487175
Total Pages : 732 pages
Book Rating : 4.9/5 (474 download)

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Book Synopsis Making Databases Work by : Michael L. Brodie

Download or read book Making Databases Work written by Michael L. Brodie and published by Morgan & Claypool. This book was released on 2018-12-14 with total page 732 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book celebrates Michael Stonebraker's accomplishments that led to his 2014 ACM A.M. Turing Award "for fundamental contributions to the concepts and practices underlying modern database systems." The book describes, for the broad computing community, the unique nature, significance, and impact of Mike's achievements in advancing modern database systems over more than forty years. Today, data is considered the world's most valuable resource, whether it is in the tens of millions of databases used to manage the world's businesses and governments, in the billions of databases in our smartphones and watches, or residing elsewhere, as yet unmanaged, awaiting the elusive next generation of database systems. Every one of the millions or billions of databases includes features that are celebrated by the 2014 Turing Award and are described in this book. Why should I care about databases? What is a database? What is data management? What is a database management system (DBMS)? These are just some of the questions that this book answers, in describing the development of data management through the achievements of Mike Stonebraker and his over 200 collaborators. In reading the stories in this book, you will discover core data management concepts that were developed over the two greatest eras (so far) of data management technology. The book is a collection of 36 stories written by Mike and 38 of his collaborators: 23 world-leading database researchers, 11 world-class systems engineers, and 4 business partners. If you are an aspiring researcher, engineer, or entrepreneur you might read these stories to find these turning points as practice to tilt at your own computer-science windmills, to spur yourself to your next step of innovation and achievement.

Web Information Systems and Applications

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Author :
Publisher : Springer Nature
ISBN 13 : 3030309525
Total Pages : 725 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Web Information Systems and Applications by : Weiwei Ni

Download or read book Web Information Systems and Applications written by Weiwei Ni and published by Springer Nature. This book was released on 2019-09-17 with total page 725 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 16th International Conference on Web Information Systems and Applications, WISA 2019, held in Qingdao, China, in September 2019. The 39 revised full papers and 33 short papers presented were carefully reviewed and selected from 154 submissions. The papers are grouped in topical sections on machine learning and data mining, cloud computing and big data, information retrieval, natural language processing, data privacy and security, knowledge graphs and social networks, blockchain, query processing, and recommendations.

Cognitive Machine Intelligence

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Publisher : CRC Press
ISBN 13 : 1040097081
Total Pages : 373 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Cognitive Machine Intelligence by : Inam Ullah Khan

Download or read book Cognitive Machine Intelligence written by Inam Ullah Khan and published by CRC Press. This book was released on 2024-08-28 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Machine Intelligence: Applications, Challenges, and Related Technologies offers a compelling exploration of the transformative landscape shaped by the convergence of machine intelligence, artificial intelligence, and cognitive computing. In this book, the authors navigate through the intricate realms of technology, unveiling the profound impact of cognitive machine intelligence on diverse fields such as communication, healthcare, cybersecurity, and smart city development. The chapters present study on robots and drones to the integration of machine learning with wireless communication networks, IoT, quantum computing, and beyond. The book explores the essential role of machine learning in healthcare, security, and manufacturing. With a keen focus on privacy, trust, and the improvement of human lifestyles, this book stands as a comprehensive guide to the novel techniques and applications driving the evolution of cognitive machine intelligence. The vision presented here extends to smart cities, where AI-enabled techniques contribute to optimal decision-making, and future computing systems address end-to-end delay issues with a central focus on Quality-of-Service metrics. Cognitive Machine Intelligence is an indispensable resource for researchers, practitioners, and enthusiasts seeking a deep understanding of the dynamic landscape at the intersection of artificial intelligence and cognitive computing. This book: Covers a comprehensive exploration of cognitive machine intelligence and its intersection with emerging technologies such as federated learning, blockchain, and 6G and beyond. Discusses the integration of machine learning with various technologies such as wireless communication networks, ad-hoc networks, software-defined networks, quantum computing, and big data. Examines the impact of machine learning on various fields such as healthcare, unmanned aerial vehicles, cybersecurity, and neural networks. Provides a detailed discussion on the challenges and solutions to future computer networks like end-to-end delay issues, Quality of Service (QoS) metrics, and security. Emphasizes the need to ensure privacy and trust while implementing the novel techniques of machine intelligence. It is primarily written for senior undergraduate and graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.

Indexing on Non-Volatile Memory

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Author :
Publisher : Springer Nature
ISBN 13 : 3031476271
Total Pages : 92 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Indexing on Non-Volatile Memory by : Kaisong Huang

Download or read book Indexing on Non-Volatile Memory written by Kaisong Huang and published by Springer Nature. This book was released on 2023-11-28 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on online transaction processing indexes designed for scalable, byte-addressable non-volatile memory (NVM) and provides a systematic review and summary of the fundamental principles and techniques as well as an outlook on the future of this research area. In this book, the authors divide the development of NVM indexes into three “eras”— pre-Optane, Optane and post-Optane—based on when the first major scalable NVM device (Optane) became commercially available and when it was announced to be discontinued. The book will analyze the reasons for the slow adoption of NVM and give an outlook for indexing techniques in the post-Optane era. The book assumes only basic undergraduate-level understanding on indexing (e.g., B+-trees, hash tables) and database systems in general. It is otherwise self-contained with the necessary background information, including an introduction to NVM hardware and software/programming issues, a detailed description of different indexes in highly concurrent systems for non-experts and new researchers to get started in this area.

Handbook of Big Data Technologies

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Publisher : Springer
ISBN 13 : 331949340X
Total Pages : 890 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Handbook of Big Data Technologies by : Albert Y. Zomaya

Download or read book Handbook of Big Data Technologies written by Albert Y. Zomaya and published by Springer. This book was released on 2017-02-25 with total page 890 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms. Chapters are authored by international leading experts in the field, and have been reviewed and revised for maximum reader value. The volume consists of twenty-five chapters organized into four main parts. Part one covers the fundamental concepts of Big Data technologies including data curation mechanisms, data models, storage models, programming models and programming platforms. It also dives into the details of implementing Big SQL query engines and big stream processing systems. Part Two focuses on the semantic aspects of Big Data management including data integration and exploratory ad hoc analysis in addition to structured querying and pattern matching techniques. Part Three presents a comprehensive overview of large scale graph processing. It covers the most recent research in large scale graph processing platforms, introducing several scalable graph querying and mining mechanisms in domains such as social networks. Part Four details novel applications that have been made possible by the rapid emergence of Big Data technologies such as Internet-of-Things (IOT), Cognitive Computing and SCADA Systems. All parts of the book discuss open research problems, including potential opportunities, that have arisen from the rapid progress of Big Data technologies and the associated increasing requirements of application domains. Designed for researchers, IT professionals and graduate students, this book is a timely contribution to the growing Big Data field. Big Data has been recognized as one of leading emerging technologies that will have a major contribution and impact on the various fields of science and varies aspect of the human society over the coming decades. Therefore, the content in this book will be an essential tool to help readers understand the development and future of the field.

Big Data 2.0 Processing Systems

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Publisher : Springer Nature
ISBN 13 : 3030441873
Total Pages : 145 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Big Data 2.0 Processing Systems by : Sherif Sakr

Download or read book Big Data 2.0 Processing Systems written by Sherif Sakr and published by Springer Nature. This book was released on 2020-07-09 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers the “big picture” and a comprehensive survey of the domain of big data processing systems. For the past decade, the Hadoop framework has dominated the world of big data processing, yet recently academia and industry have started to recognize its limitations in several application domains and thus, it is now gradually being replaced by a collection of engines that are dedicated to specific verticals (e.g. structured data, graph data, and streaming data). The book explores this new wave of systems, which it refers to as Big Data 2.0 processing systems. After Chapter 1 presents the general background of the big data phenomena, Chapter 2 provides an overview of various general-purpose big data processing systems that allow their users to develop various big data processing jobs for different application domains. In turn, Chapter 3 examines various systems that have been introduced to support the SQL flavor on top of the Hadoop infrastructure and provide competing and scalable performance in the processing of large-scale structured data. Chapter 4 discusses several systems that have been designed to tackle the problem of large-scale graph processing, while the main focus of Chapter 5 is on several systems that have been designed to provide scalable solutions for processing big data streams, and on other sets of systems that have been introduced to support the development of data pipelines between various types of big data processing jobs and systems. Next, Chapter 6 focuses on covering the emerging frameworks and systems in the domain of scalable machine learning and deep learning processing. Lastly, Chapter 7 shares conclusions and an outlook on future research challenges. This new and considerably enlarged second edition not only contains the completely new chapter 6, but also offers a refreshed content for the state-of-the-art in all domains of big data processing over the last years. Overall, the book offers a valuable reference guide for professional, students, and researchers in the domain of big data processing systems. Further, its comprehensive content will hopefully encourage readers to pursue further research on the subject.

Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXVIII

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Publisher : Springer
ISBN 13 : 3662583844
Total Pages : 184 pages
Book Rating : 4.6/5 (625 download)

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Book Synopsis Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXVIII by : Abdelkader Hameurlain

Download or read book Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXVIII written by Abdelkader Hameurlain and published by Springer. This book was released on 2018-11-21 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This, the 38th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains extended and revised versions of six papers selected from the 68 contributions presented at the 27th International Conference on Database and Expert Systems Applications, DEXA 2016, held in Porto, Portugal, in September 2016. Topics covered include query personalization in databases, data anonymization, similarity search, computational methods for entity resolution, array-based computations in big data analysis, and pattern mining.

Data Lakes

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Publisher : John Wiley & Sons
ISBN 13 : 1119720419
Total Pages : 190 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Data Lakes by : Anne Laurent

Download or read book Data Lakes written by Anne Laurent and published by John Wiley & Sons. This book was released on 2020-04-09 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: The concept of a data lake is less than 10 years old, but they are already hugely implemented within large companies. Their goal is to efficiently deal with ever-growing volumes of heterogeneous data, while also facing various sophisticated user needs. However, defining and building a data lake is still a challenge, as no consensus has been reached so far. Data Lakes presents recent outcomes and trends in the field of data repositories. The main topics discussed are the data-driven architecture of a data lake; the management of metadata supplying key information about the stored data, master data and reference data; the roles of linked data and fog computing in a data lake ecosystem; and how gravity principles apply in the context of data lakes. A variety of case studies are also presented, thus providing the reader with practical examples of data lake management.

Web and Big Data

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Publisher : Springer Nature
ISBN 13 : 3030602591
Total Pages : 829 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Web and Big Data by : Xin Wang

Download or read book Web and Big Data written by Xin Wang and published by Springer Nature. This book was released on 2020-10-15 with total page 829 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set, LNCS 11317 and 12318, constitutes the thoroughly refereed proceedings of the 4th International Joint Conference, APWeb-WAIM 2020, held in Tianjin, China, in September 2020. Due to the COVID-19 pandemic the conference was organizedas a fully online conference. The 42 full papers presented together with 17 short papers, and 6 demonstration papers were carefully reviewed and selected from 180 submissions. The papers are organized around the following topics: Big Data Analytics; Graph Data and Social Networks; Knowledge Graph; Recommender Systems; Information Extraction and Retrieval; Machine Learning; Blockchain; Data Mining; Text Analysis and Mining; Spatial, Temporal and Multimedia Databases; Database Systems; and Demo.

Heterogeneous Data Management, Polystores, and Analytics for Healthcare

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Author :
Publisher : Springer Nature
ISBN 13 : 3030337529
Total Pages : 296 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Heterogeneous Data Management, Polystores, and Analytics for Healthcare by : Vijay Gadepally

Download or read book Heterogeneous Data Management, Polystores, and Analytics for Healthcare written by Vijay Gadepally and published by Springer Nature. This book was released on 2019-10-25 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-conference proceedings for the VLBD conference workshops entitled: Towards Polystores That Manage Multiple Databases, Privacy, Security and/or Policy Issues for Heterogenous Data (Poly 2019) and the Fifth International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2019), held in Los Angeles, CA, USA, in August 2019, in conjunction with the 45th International Conference on Very Large Data Bases, VLDB 2019. The 20 regular papers presented together with 2 keynote papers were carefully reviewed and selected from 31 initial submissions. The papers are organized in topical sections named: Poly 2019: Privacy, Security and/or Policy Issues for Heterogenous Data; Building Polystore Systems. DMAH 2019: Database Enabled Biomedical Research; AI for Healthcare; Knowledge Discovery from Unstructured Biomedical Data; Blockchain and Privacy Preserving Data Management.

Intelligent Computing

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Publisher : Springer Nature
ISBN 13 : 3030801292
Total Pages : 1108 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Intelligent Computing by : Kohei Arai

Download or read book Intelligent Computing written by Kohei Arai and published by Springer Nature. This book was released on 2021-07-05 with total page 1108 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive collection of chapters focusing on the core areas of computing and their further applications in the real world. Each chapter is a paper presented at the Computing Conference 2021 held on 15-16 July 2021. Computing 2021 attracted a total of 638 submissions which underwent a double-blind peer review process. Of those 638 submissions, 235 submissions have been selected to be included in this book. The goal of this conference is to give a platform to researchers with fundamental contributions and to be a premier venue for academic and industry practitioners to share new ideas and development experiences. We hope that readers find this volume interesting and valuable as it provides the state-of-the-art intelligent methods and techniques for solving real-world problems. We also expect that the conference and its publications is a trigger for further related research and technology improvements in this important subject.

Blockchains

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Publisher : Springer Nature
ISBN 13 : 3031321464
Total Pages : 621 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Blockchains by : Sushmita Ruj

Download or read book Blockchains written by Sushmita Ruj and published by Springer Nature. This book was released on with total page 621 pages. Available in PDF, EPUB and Kindle. Book excerpt: