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Author : Ihab F Ilyas
Publisher :
ISBN 13 : 9781680830231
Total Pages : pages
Book Rating : 4.8/5 (32 download)
Download or read book Trends in Cleaning Relational Data written by Ihab F Ilyas and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ihab F. Ilyas
Publisher : Morgan & Claypool
ISBN 13 : 1450371558
Total Pages : 282 pages
Book Rating : 4.4/5 (53 download)
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 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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, we give an overview of the end-to-end data cleaning process, describing various error detection and repair methods, and attempt to anchor these proposals with multiple taxonomies and views. Specifically, we cover 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, we include 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.
Author : Ziawasch Abedjan
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1681734478
Total Pages : 156 pages
Book Rating : 4.6/5 (817 download)
Download or read book Data Profiling written by Ziawasch Abedjan and published by Morgan & Claypool Publishers. This book was released on 2018-11-08 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data profiling refers to the activity of collecting data about data, i.e., metadata. Most IT professionals and researchers who work with data have engaged in data profiling, at least informally, to understand and explore an unfamiliar dataset or to determine whether a new dataset is appropriate for a particular task at hand. Data profiling results are also important in a variety of other situations, including query optimization, data integration, and data cleaning. Simple metadata are statistics, such as the number of rows and columns, schema and datatype information, the number of distinct values, statistical value distributions, and the number of null or empty values in each column. More complex types of metadata are statements about multiple columns and their correlation, such as candidate keys, functional dependencies, and other types of dependencies. This book provides a classification of the various types of profilable metadata, discusses popular data profiling tasks, and surveys state-of-the-art profiling algorithms. While most of the book focuses on tasks and algorithms for relational data profiling, we also briefly discuss systems and techniques for profiling non-relational data such as graphs and text. We conclude with a discussion of data profiling challenges and directions for future work in this area.
Author : Davide Ciucci
Publisher : Springer
ISBN 13 : 3030004619
Total Pages : 413 pages
Book Rating : 4.0/5 (3 download)
Download or read book Scalable Uncertainty Management written by Davide Ciucci and published by Springer. This book was released on 2018-09-24 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th International Conference on Scalable Uncertainty Management, SUM 2018, which was held in Milan, Italy, in October 2018. The 23 full, 6 short papers and 2 tutorials presented in this volume were carefully reviewed and selected from 37 submissions. The conference is dedicated to the management of large amounts of complex, uncertain, incomplete, or inconsistent information. New approaches have been developed on imprecise probabilities, fuzzy set theory, rough set theory, ordinal uncertainty representations, or even purely qualitative models.
Author : M. Tamer Özsu
Publisher : Springer Nature
ISBN 13 : 3030262537
Total Pages : 674 pages
Book Rating : 4.0/5 (32 download)
Download or read book Principles of Distributed Database Systems written by M. Tamer Özsu and published by Springer Nature. This book was released on 2019-12-02 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fourth edition of this classic textbook provides major updates. This edition has completely new chapters on Big Data Platforms (distributed storage systems, MapReduce, Spark, data stream processing, graph analytics) and on NoSQL, NewSQL and polystore systems. It also includes an updated web data management chapter that includes RDF and semantic web discussion, an integrated database integration chapter focusing both on schema integration and querying over these systems. The peer-to-peer computing chapter has been updated with a discussion of blockchains. The chapters that describe classical distributed and parallel database technology have all been updated. The new edition covers the breadth and depth of the field from a modern viewpoint. Graduate students, as well as senior undergraduate students studying computer science and other related fields will use this book as a primary textbook. Researchers working in computer science will also find this textbook useful. This textbook has a companion web site that includes background information on relational database fundamentals, query processing, transaction management, and computer networks for those who might need this background. The web site also includes all the figures and presentation slides as well as solutions to exercises (restricted to instructors).
Author : Xingming Sun
Publisher : Springer
ISBN 13 : 3030000095
Total Pages : 743 pages
Book Rating : 4.0/5 (3 download)
Download or read book Cloud Computing and Security written by Xingming Sun and published by Springer. This book was released on 2018-09-21 with total page 743 pages. Available in PDF, EPUB and Kindle. Book excerpt: This six volume set LNCS 11063 – 11068 constitutes the thoroughly refereed conference proceedings of the 4th International Conference on Cloud Computing and Security, ICCCS 2018, held in Haikou, China, in June 2018. The 386 full papers of these six volumes were carefully reviewed and selected from 1743 submissions. The papers cover ideas and achievements in the theory and practice of all areas of inventive systems which includes control, artificial intelligence, automation systems, computing systems, electrical and informative systems. The six volumes are arranged according to the subject areas as follows: cloud computing, cloud security, encryption, information hiding, IoT security, multimedia forensics.
Author : Ana Paula Rocha
Publisher : Springer Nature
ISBN 13 : 3031553268
Total Pages : 507 pages
Book Rating : 4.0/5 (315 download)
Download or read book Agents and Artificial Intelligence written by Ana Paula Rocha and published by Springer Nature. This book was released on with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Guojun Wang
Publisher : Springer
ISBN 13 : 3030053458
Total Pages : 534 pages
Book Rating : 4.0/5 (3 download)
Download or read book Security, Privacy, and Anonymity in Computation, Communication, and Storage written by Guojun Wang and published by Springer. This book was released on 2018-12-07 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th International Conference on Security, Privacy, and Anonymity in Computation, Communication, and Storage. The 45 revised full papers were carefully reviewed and selected from 120 submissions. The papers cover many dimensions including security algorithms and architectures, privacy-aware policies, regulations and techniques, anonymous computation and communication, encompassing fundamental theoretical approaches, practical experimental projects, and commercial application systems for computation, communication and storage.
Author : Aida Binti Mustapha
Publisher : Springer Nature
ISBN 13 : 9811689032
Total Pages : 464 pages
Book Rating : 4.8/5 (116 download)
Download or read book Proceedings of the 7th International Conference on the Applications of Science and Mathematics 2021 written by Aida Binti Mustapha and published by Springer Nature. This book was released on 2022-06-28 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents peer-reviewed articles and recent advances on the potential applications of Science and Mathematics for future technologies, from the 7th International Conference on the Applications of Science and Mathematics (SCIEMATHIC 2021), held in Malaysia. It provides an insight about the leading trends in sustainable Science and Technology. The world is looking for sustainable solutions to problems more than ever. The synergistic approach of mathematicians, scientists and engineers has undeniable importance for future technologies. With this viewpoint, SCIEMATHIC 2021 has the theme “Quest for Sustainable Science and Mathematics for Future Technologies”. The conference brings together physicists, mathematicians, statisticians and data scientists, providing a platform to find sustainable solutions to major problems around us. The works presented here are suitable for professionals and researchers globally in making the world a better and sustainable place.
Author : Youssef Baddi
Publisher : Springer Nature
ISBN 13 : 3030879542
Total Pages : 343 pages
Book Rating : 4.0/5 (38 download)
Download or read book Big Data Intelligence for Smart Applications written by Youssef Baddi and published by Springer Nature. This book was released on 2022-01-18 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, the use of machine intelligence, expert systems, and analytical technologies combined with Big Data is the natural evolution of both disciplines. As a result, there is a pressing need for new and innovative algorithms to help us find effective and practical solutions for smart applications such as smart cities, IoT, healthcare, and cybersecurity. This book presents the latest advances in big data intelligence for smart applications. It explores several problems and their solutions regarding computational intelligence and big data for smart applications. It also discusses new models, practical solutions,and technological advances related to developing and transforming cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.
Author : Aida Mustapha
Publisher : Springer Nature
ISBN 13 : 9819928508
Total Pages : 433 pages
Book Rating : 4.8/5 (199 download)
Download or read book Proceedings of the 8th International Conference on the Applications of Science and Mathematics written by Aida Mustapha and published by Springer Nature. This book was released on 2023-08-01 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents peer-reviewed articles and recent advances on the potential applications of Science and Mathematics for future technologies, from the 8th International Conference on the Applications of Science and Mathematics (SCIEMATHIC 2022), held in Malaysia. It provides an insight about the leading trends in sustainable Science and Technology. Topics included in this proceedings are in the areas of Mathematics and Statistics, including Natural Science, Engineering and Artificial Intelligence.
Author : Mikoláš Janota
Publisher : Springer
ISBN 13 : 3030242587
Total Pages : 425 pages
Book Rating : 4.0/5 (32 download)
Download or read book Theory and Applications of Satisfiability Testing – SAT 2019 written by Mikoláš Janota and published by Springer. This book was released on 2019-06-28 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 22nd International Conference on Theory and Applications of Satisfiability Testing, SAT 2019, held in Lisbon, Portugal, UK, in July 2019. The 19 revised full papers presented together with 7 short papers were carefully reviewed and selected from 64 submissions. The papers address different aspects of SAT interpreted in a broad sense, including (but not restricted to) theoretical advances (such as exact algorithms, proof complexity, and other complexity issues), practical search algorithms, knowledge compilation, implementation-level details of SAT solvers and SAT-based systems, problem encodings and reformulations, applications (including both novel application domains and improvements to existing approaches), as well as case studies and reports on findings based on rigorous experimentation.
Author : Lytras, Miltiadis D.
Publisher : IGI Global
ISBN 13 : 1522571876
Total Pages : 399 pages
Book Rating : 4.5/5 (225 download)
Download or read book Semantic Web Science and Real-World Applications written by Lytras, Miltiadis D. and published by IGI Global. This book was released on 2018-10-26 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: Continual advancements in web technology have highlighted the need for formatted systems that computers can utilize to easily read and sift through the hundreds of thousands of data points across the internet. Therefore, having the most relevant data in the least amount of time to optimize the productivity of users becomes a priority. Semantic Web Science and Real-World Applications provides emerging research exploring the theoretical and practical aspects of semantic web science and real-world applications within the area of big data. Featuring coverage on a broad range of topics such as artificial intelligence, social media monitoring, and microblogging recommendation systems, this book is ideally designed for IT consultants, academics, professionals, and researchers of web science seeking the current developments, requirements and standards, and technology spaces presented across academia and industries.
Author : Samira El Yacoubi
Publisher : Springer Nature
ISBN 13 : 3030347702
Total Pages : 362 pages
Book Rating : 4.0/5 (33 download)
Download or read book Internet Science written by Samira El Yacoubi and published by Springer Nature. This book was released on 2019-11-25 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 6th International Conference on Internet Science held in Perpignan, France, in December 2019. The 30 revised full papers presented were carefully reviewed and selected from 45 submissions. The papers detail a multidisciplinary understanding of the development of the Internet as a societal and technological artefact which increasingly evolves with human societies.
Author : Abhaya C. Nayak
Publisher : Springer Nature
ISBN 13 : 3030298949
Total Pages : 761 pages
Book Rating : 4.0/5 (32 download)
Download or read book PRICAI 2019: Trends in Artificial Intelligence written by Abhaya C. Nayak and published by Springer Nature. This book was released on 2019-08-22 with total page 761 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set LNAI 11670, LNAI 11671, and LNAI 11672 constitutes the thoroughly refereed proceedings of the 16th Pacific Rim Conference on Artificial Intelligence, PRICAI 2019, held in Cuvu, Yanuca Island, Fiji, in August 2019. The 111 full papers and 13 short papers presented in these volumes were carefully reviewed and selected from 265 submissions. PRICAI covers a wide range of topics such as AI theories, technologies and their applications in the areas of social and economic importance for countries in the Pacific Rim.
Author : Hassanien, Aboul Ella
Publisher : IGI Global
ISBN 13 : 1522522301
Total Pages : 1093 pages
Book Rating : 4.5/5 (225 download)
Download or read book Handbook of Research on Machine Learning Innovations and Trends written by Hassanien, Aboul Ella and published by IGI Global. This book was released on 2017-04-03 with total page 1093 pages. Available in PDF, EPUB and Kindle. Book excerpt: Continuous improvements in technological applications have allowed more opportunities to develop automated systems. This not only leads to higher success in smart data analysis, but it increases the overall probability of technological progression. The Handbook of Research on Machine Learning Innovations and Trends is a key resource on the latest advances and research regarding the vast range of advanced systems and applications involved in machine intelligence. Highlighting multidisciplinary studies on decision theory, intelligent search, and multi-agent systems, this publication is an ideal reference source for professionals and researchers working in the field of machine learning and its applications.
Author : David Mertz
Publisher : Packt Publishing Ltd
ISBN 13 : 1801074402
Total Pages : 499 pages
Book Rating : 4.8/5 (1 download)
Download or read book Cleaning Data for Effective Data Science written by David Mertz and published by Packt Publishing Ltd. This book was released on 2021-03-31 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: Think about your data intelligently and ask the right questions Key FeaturesMaster data cleaning techniques necessary to perform real-world data science and machine learning tasksSpot common problems with dirty data and develop flexible solutions from first principlesTest and refine your newly acquired skills through detailed exercises at the end of each chapterBook Description Data cleaning is the all-important first step to successful data science, data analysis, and machine learning. If you work with any kind of data, this book is your go-to resource, arming you with the insights and heuristics experienced data scientists had to learn the hard way. In a light-hearted and engaging exploration of different tools, techniques, and datasets real and fictitious, Python veteran David Mertz teaches you the ins and outs of data preparation and the essential questions you should be asking of every piece of data you work with. Using a mixture of Python, R, and common command-line tools, Cleaning Data for Effective Data Science follows the data cleaning pipeline from start to end, focusing on helping you understand the principles underlying each step of the process. You'll look at data ingestion of a vast range of tabular, hierarchical, and other data formats, impute missing values, detect unreliable data and statistical anomalies, and generate synthetic features. The long-form exercises at the end of each chapter let you get hands-on with the skills you've acquired along the way, also providing a valuable resource for academic courses. What you will learnIngest and work with common data formats like JSON, CSV, SQL and NoSQL databases, PDF, and binary serialized data structuresUnderstand how and why we use tools such as pandas, SciPy, scikit-learn, Tidyverse, and BashApply useful rules and heuristics for assessing data quality and detecting bias, like Benford’s law and the 68-95-99.7 ruleIdentify and handle unreliable data and outliers, examining z-score and other statistical propertiesImpute sensible values into missing data and use sampling to fix imbalancesUse dimensionality reduction, quantization, one-hot encoding, and other feature engineering techniques to draw out patterns in your dataWork carefully with time series data, performing de-trending and interpolationWho this book is for This book is designed to benefit software developers, data scientists, aspiring data scientists, teachers, and students who work with data. If you want to improve your rigor in data hygiene or are looking for a refresher, this book is for you. Basic familiarity with statistics, general concepts in machine learning, knowledge of a programming language (Python or R), and some exposure to data science are helpful.
