Incomplete Data And Data Dependencies In Relational Databases

Download Incomplete Data And Data Dependencies In Relational Databases full books in PDF, epub, and Kindle. Read online Incomplete Data And Data Dependencies In Relational Databases ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Incomplete Data and Data Dependencies in Relational Databases

Author : Sergio Greco
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1608459268
Total Pages : 126 pages
Book Rating : 4.6/5 (84 download)

DOWNLOAD NOW!

Book Synopsis Incomplete Data and Data Dependencies in Relational Databases by : Sergio Greco

Download or read book Incomplete Data and Data Dependencies in Relational Databases written by Sergio Greco and published by Morgan & Claypool Publishers. This book was released on 2012 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: The chase has long been used as a central tool to analyze dependencies and their effect on queries. It has been applied to different relevant problems in database theory such as query optimization, query containment and equivalence, dependency implication, and database schema design. Recent years have seen a renewed interest in the chase as an important tool in several database applications, such as data exchange and integration, query answering in incomplete data, and many others. It is well known that the chase algorithm might be non-terminating and thus, in order for it to find practical applicability, it is crucial to identify cases where its termination is guaranteed. Another important aspect to consider when dealing with the chase is that it can introduce null values into the database, thereby leading to incomplete data. Thus, in several scenarios where the chase is used the problem of dealing with data dependencies and incomplete data arises. This book discusses fundamental issues concerning data dependencies and incomplete data with a particular focus on the chase and its applications in different database areas. We report recent results about the crucial issue of identifying conditions that guarantee the chase termination. Different database applications where the chase is a central tool are discussed with particular attention devoted to query answering in the presence of data dependencies and database schema design. Table of Contents: Introduction / Relational Databases / Incomplete Databases / The Chase Algorithm / Chase Termination / Data Dependencies and Normal Forms / Universal Repairs / Chase and Database Applications

Incomplete Data and Data Dependencies in Relational Databases

Author : Sergio Greco
Publisher : Springer Nature
ISBN 13 : 3031018931
Total Pages : 111 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Incomplete Data and Data Dependencies in Relational Databases by : Sergio Greco

Download or read book Incomplete Data and Data Dependencies in Relational Databases written by Sergio Greco and published by Springer Nature. This book was released on 2022-06-01 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: The chase has long been used as a central tool to analyze dependencies and their effect on queries. It has been applied to different relevant problems in database theory such as query optimization, query containment and equivalence, dependency implication, and database schema design. Recent years have seen a renewed interest in the chase as an important tool in several database applications, such as data exchange and integration, query answering in incomplete data, and many others. It is well known that the chase algorithm might be non-terminating and thus, in order for it to find practical applicability, it is crucial to identify cases where its termination is guaranteed. Another important aspect to consider when dealing with the chase is that it can introduce null values into the database, thereby leading to incomplete data. Thus, in several scenarios where the chase is used the problem of dealing with data dependencies and incomplete data arises. This book discusses fundamental issues concerning data dependencies and incomplete data with a particular focus on the chase and its applications in different database areas. We report recent results about the crucial issue of identifying conditions that guarantee the chase termination. Different database applications where the chase is a central tool are discussed with particular attention devoted to query answering in the presence of data dependencies and database schema design. Table of Contents: Introduction / Relational Databases / Incomplete Databases / The Chase Algorithm / Chase Termination / Data Dependencies and Normal Forms / Universal Repairs / Chase and Database Applications

Foundations of Information and Knowledge Systems

Author : Andreas Herzig
Publisher : Springer Nature
ISBN 13 : 3030399516
Total Pages : 335 pages
Book Rating : 4.0/5 (33 download)

DOWNLOAD NOW!

Book Synopsis Foundations of Information and Knowledge Systems by : Andreas Herzig

Download or read book Foundations of Information and Knowledge Systems written by Andreas Herzig and published by Springer Nature. This book was released on 2020-01-28 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2020, held in Dortmund, Germany, in February 2020. The 19 revised full papers presented were carefully reviewed and selected from 33 submissions. The papers address various topics such as big data; database design; dynamics of information; information fusion; integrity and constraint management; intelligent agents; knowledge discovery and information retrieval; knowledge representation, reasoning and planning; logics in databases and AI; mathematical foundations; security in information and knowledge systems; semi-structured data and XML; social computing; the semantic web and knowledge management; and the world wide web.

The Problem of Incomplete Information in Relational Databases

Author : G. Grahne
Publisher : Springer Science & Business Media
ISBN 13 : 9783540549192
Total Pages : 174 pages
Book Rating : 4.5/5 (491 download)

DOWNLOAD NOW!

Book Synopsis The Problem of Incomplete Information in Relational Databases by : G. Grahne

Download or read book The Problem of Incomplete Information in Relational Databases written by G. Grahne and published by Springer Science & Business Media. This book was released on 1991-11-13 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reviews of Environmental Contamination and Toxicology publishes authoritative reviews on the occurrence, effects, and fate of pesticide residues and other environmental contaminants. It will keep you informed of the latest significant issues by providing in-depth information in the areas of analytical chemistry, agricultural microbiology, biochemistry, human and veterinary medicine, toxicology, and food technology.

Query Processing over Incomplete Databases

Author : Yunjun Gao
Publisher : Springer Nature
ISBN 13 : 303101863X
Total Pages : 106 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Query Processing over Incomplete Databases by : Yunjun Gao

Download or read book Query Processing over Incomplete Databases written by Yunjun Gao and published by Springer Nature. This book was released on 2022-06-01 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: Incomplete data is part of life and almost all areas of scientific studies. Users tend to skip certain fields when they fill out online forms; participants choose to ignore sensitive questions on surveys; sensors fail, resulting in the loss of certain readings; publicly viewable satellite map services have missing data in many mobile applications; and in privacy-preserving applications, the data is incomplete deliberately in order to preserve the sensitivity of some attribute values. Query processing is a fundamental problem in computer science, and is useful in a variety of applications. In this book, we mostly focus on the query processing over incomplete databases, which involves finding a set of qualified objects from a specified incomplete dataset in order to support a wide spectrum of real-life applications. We first elaborate the three general kinds of methods of handling incomplete data, including (i) discarding the data with missing values, (ii) imputation for the missing values, and (iii) just depending on the observed data values. For the third method type, we introduce the semantics of k-nearest neighbor (kNN) search, skyline query, and top-k dominating query on incomplete data, respectively. In terms of the three representative queries over incomplete data, we investigate some advanced techniques to process incomplete data queries, including indexing, pruning as well as crowdsourcing techniques.

Complex Pattern Mining

Author : Annalisa Appice
Publisher : Springer Nature
ISBN 13 : 3030366170
Total Pages : 251 pages
Book Rating : 4.0/5 (33 download)

DOWNLOAD NOW!

Book Synopsis Complex Pattern Mining by : Annalisa Appice

Download or read book Complex Pattern Mining written by Annalisa Appice and published by Springer Nature. This book was released on 2020-01-14 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the challenges facing current research in knowledge discovery and data mining posed by the huge volumes of complex data now gathered in various real-world applications (e.g., business process monitoring, cybersecurity, medicine, language processing, and remote sensing). The book consists of 14 chapters covering the latest research by the authors and the research centers they represent. It illustrates techniques and algorithms that have recently been developed to preserve the richness of the data and allow us to efficiently and effectively identify the complex information it contains. Presenting the latest developments in complex pattern mining, this book is a valuable reference resource for data science researchers and professionals in academia and industry.

Dependencies in Relational Databases

Author :
Publisher : Springer-Verlag
ISBN 13 : 366312018X
Total Pages : 223 pages
Book Rating : 4.6/5 (631 download)

DOWNLOAD NOW!

Book Synopsis Dependencies in Relational Databases by :

Download or read book Dependencies in Relational Databases written by and published by Springer-Verlag. This book was released on 2013-12-01 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Guided Tour of Relational Databases and Beyond

Author : Mark Levene
Publisher : Springer Science & Business Media
ISBN 13 : 0857293494
Total Pages : 632 pages
Book Rating : 4.8/5 (572 download)

DOWNLOAD NOW!

Book Synopsis A Guided Tour of Relational Databases and Beyond by : Mark Levene

Download or read book A Guided Tour of Relational Databases and Beyond written by Mark Levene and published by Springer Science & Business Media. This book was released on 2012-09-18 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: Addressing important extensions of the relational database model, including deductive, temporal, and object-oriented databases, this book provides an overview of database modeling with the Entity-Relationship (ER) model and the relational model. The book focuses on the primary achievements in relational database theory, including query languages, integrity constraints, database design, computable queries, and concurrency control. This reference will shed light on the ideas underlying relational database systems and the problems that confront database designers and researchers.

Foundations of Data Quality Management

Author : Wenfei Fan
Publisher : Springer Nature
ISBN 13 : 3031018923
Total Pages : 201 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Foundations of Data Quality Management by : Wenfei Fan

Download or read book Foundations of Data Quality Management written by Wenfei Fan and published by Springer Nature. This book was released on 2022-05-31 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data quality is one of the most important problems in data management. A database system typically aims to support the creation, maintenance, and use of large amount of data, focusing on the quantity of data. However, real-life data are often dirty: inconsistent, duplicated, inaccurate, incomplete, or stale. Dirty data in a database routinely generate misleading or biased analytical results and decisions, and lead to loss of revenues, credibility and customers. With this comes the need for data quality management. In contrast to traditional data management tasks, data quality management enables the detection and correction of errors in the data, syntactic or semantic, in order to improve the quality of the data and hence, add value to business processes. While data quality has been a longstanding problem for decades, the prevalent use of the Web has increased the risks, on an unprecedented scale, of creating and propagating dirty data. This monograph gives an overview of fundamental issues underlying central aspects of data quality, namely, data consistency, data deduplication, data accuracy, data currency, and information completeness. We promote a uniform logical framework for dealing with these issues, based on data quality rules. The text is organized into seven chapters, focusing on relational data. Chapter One introduces data quality issues. A conditional dependency theory is developed in Chapter Two, for capturing data inconsistencies. It is followed by practical techniques in Chapter 2b for discovering conditional dependencies, and for detecting inconsistencies and repairing data based on conditional dependencies. Matching dependencies are introduced in Chapter Three, as matching rules for data deduplication. A theory of relative information completeness is studied in Chapter Four, revising the classical Closed World Assumption and the Open World Assumption, to characterize incomplete information in the real world. A data currency model is presented in Chapter Five, to identify the current values of entities in a database and to answer queries with the current values, in the absence of reliable timestamps. Finally, interactions between these data quality issues are explored in Chapter Six. Important theoretical results and practical algorithms are covered, but formal proofs are omitted. The bibliographical notes contain pointers to papers in which the results were presented and proven, as well as references to materials for further reading. This text is intended for a seminar course at the graduate level. It is also to serve as a useful resource for researchers and practitioners who are interested in the study of data quality. The fundamental research on data quality draws on several areas, including mathematical logic, computational complexity and database theory. It has raised as many questions as it has answered, and is a rich source of questions and vitality. Table of Contents: Data Quality: An Overview / Conditional Dependencies / Cleaning Data with Conditional Dependencies / Data Deduplication / Information Completeness / Data Currency / Interactions between Data Quality Issues

Semantics in Databases

Author : Bernhard Thalheim
Publisher : Springer Science & Business Media
ISBN 13 : 9783540641995
Total Pages : 284 pages
Book Rating : 4.6/5 (419 download)

DOWNLOAD NOW!

Book Synopsis Semantics in Databases by : Bernhard Thalheim

Download or read book Semantics in Databases written by Bernhard Thalheim and published by Springer Science & Business Media. This book was released on 1998-02-25 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a coherent suvey on exciting developments in database semantics. The origins of the volume date back to a workshop held in Prague, Czech Republic, in 1995. The nine revised full papers and surveys presented were carefully reviewed for inclusion in the book. They address more traditional aspects like dealing with integrity constraints and conceptual modeling as well as new areas of databases; object-orientation, incomplete information, database transformations and other issues are investigated by applying formal semantics, e.g. the evolving algebra semantics.

Flexible Query Answering Systems

Author : Alfredo Cuzzocrea
Publisher : Springer Nature
ISBN 13 : 3030276295
Total Pages : 414 pages
Book Rating : 4.0/5 (32 download)

DOWNLOAD NOW!

Book Synopsis Flexible Query Answering Systems by : Alfredo Cuzzocrea

Download or read book Flexible Query Answering Systems written by Alfredo Cuzzocrea and published by Springer Nature. This book was released on 2019-09-11 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th International Conference on Flexible Query Answering Systems, FQAS 2019, held in Amantea, Italy, in July 2019. The 27 full papers and 10 short papers presented were carefully reviewed and selected from 43 submissions. The papers present emerging research trends with a special focus on flexible querying and analytics for smart cities and smart societies in the age of big data. They are organized in the following topical sections: flexible database management and querying; ontologies and knowledge bases; social networks and social media; argumentation-based query answering; data mining and knowledge discovery; advanced flexible query answering methodologies and techniques; flexible query answering methods and techniques; flexible intelligent information-oriented and network-oriented approaches; big data veracity and soft computing; flexibility in tools; and systems and miscellanea.

Conceptual Data Modeling and Database Design: A Fully Algorithmic Approach, Volume 1

Author : Christian Mancas
Publisher : CRC Press
ISBN 13 : 1498728448
Total Pages : 698 pages
Book Rating : 4.4/5 (987 download)

DOWNLOAD NOW!

Book Synopsis Conceptual Data Modeling and Database Design: A Fully Algorithmic Approach, Volume 1 by : Christian Mancas

Download or read book Conceptual Data Modeling and Database Design: A Fully Algorithmic Approach, Volume 1 written by Christian Mancas and published by CRC Press. This book was released on 2016-01-05 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new book aims to provide both beginners and experts with a completely algorithmic approach to data analysis and conceptual modeling, database design, implementation, and tuning, starting from vague and incomplete customer requests and ending with IBM DB/2, Oracle, MySQL, MS SQL Server, or Access based software applications. A rich panoply of solutions to actual useful data sub-universes (e.g. business, university, public and home library, geography, history, etc.) is provided, constituting a powerful library of examples. Four data models are presented and used: the graphical Entity-Relationship, the mathematical EMDM, the physical Relational, and the logical deterministic deductive Datalog ones. For each one of them, best practice rules, algorithms, and the theory beneath are clearly separated. Four case studies, from a simple public library example, to a complex geographical study are fully presented, on all needed levels. Several dozens of real-life exercises are proposed, out of which at least one per chapter is completely solved. Both major historical and up-to-date references are provided for each of the four data models considered. The book provides a library of useful solutions to real-life problems and provides valuable knowledge on data analysis and modeling, database design, implementation, and fine tuning.

Similarity Joins in Relational Database Systems

Author : Nikolaus Augsten
Publisher : Springer Nature
ISBN 13 : 3031018516
Total Pages : 106 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Similarity Joins in Relational Database Systems by : Nikolaus Augsten

Download or read book Similarity Joins in Relational Database Systems written by Nikolaus Augsten and published by Springer Nature. This book was released on 2022-05-31 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: State-of-the-art database systems manage and process a variety of complex objects, including strings and trees. For such objects equality comparisons are often not meaningful and must be replaced by similarity comparisons. This book describes the concepts and techniques to incorporate similarity into database systems. We start out by discussing the properties of strings and trees, and identify the edit distance as the de facto standard for comparing complex objects. Since the edit distance is computationally expensive, token-based distances have been introduced to speed up edit distance computations. The basic idea is to decompose complex objects into sets of tokens that can be compared efficiently. Token-based distances are used to compute an approximation of the edit distance and prune expensive edit distance calculations. A key observation when computing similarity joins is that many of the object pairs, for which the similarity is computed, are very different from each other. Filters exploit this property to improve the performance of similarity joins. A filter preprocesses the input data sets and produces a set of candidate pairs. The distance function is evaluated on the candidate pairs only. We describe the essential query processing techniques for filters based on lower and upper bounds. For token equality joins we describe prefix, size, positional and partitioning filters, which can be used to avoid the computation of small intersections that are not needed since the similarity would be too low.

Foundations of Information and Knowledge Systems

Author : Flavio Ferrarotti
Publisher : Springer
ISBN 13 : 3319900501
Total Pages : 401 pages
Book Rating : 4.3/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Foundations of Information and Knowledge Systems by : Flavio Ferrarotti

Download or read book Foundations of Information and Knowledge Systems written by Flavio Ferrarotti and published by Springer. This book was released on 2018-05-07 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2018, held in Budapest, Hungary, in May 2018.The 20 revised full papers presented together with 1 invited talk were carefully reviewed and selected from 40 submissions. The papers address various topics such as big data; database design; dynamics of information; information fusion; integrity and constraint management; intelligent agents; knowledge discovery and information retrieval; knowledge representation, reasoning and planning; logics in databases and AI; mathematical foundations; security in information and knowledge systems; semi-structured data and XML; social computing; the semantic web and knowledge management; and the world wide web.

Database Systems for Advanced Applications

Author : Hwanjo Yu
Publisher : Springer
ISBN 13 : 364229023X
Total Pages : 357 pages
Book Rating : 4.6/5 (422 download)

DOWNLOAD NOW!

Book Synopsis Database Systems for Advanced Applications by : Hwanjo Yu

Download or read book Database Systems for Advanced Applications written by Hwanjo Yu and published by Springer. This book was released on 2012-04-05 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the workshop proceedings of the 17th International Conference on Database Systems for Advanced Applications, DASFAA 2012, held in Busan, South Korea, in April 2012. The volume contains five workshops, each focusing on specific area that contributes to the main themes of the DASFAA conference: The Second International Workshop on Flash-based Database Systems (FlashDB 2012), the First International Workshop on Information Technologies for Maritime and Logistics (ITEMS 2012), the Third International Workshop on Social Networks and Social Media Mining on the Web (SNSMW 2012), the Second International Workshop on Spatial Information Modeling, Management and Mining (SIM3 2012), and the Fifth International Workshop on Data Quality in Integration Systems (DQIS 2012).

Data Cleaning

Author : Ihab F. Ilyas
Publisher : Morgan & Claypool
ISBN 13 : 1450371558
Total Pages : 282 pages
Book Rating : 4.4/5 (53 download)

DOWNLOAD NOW!

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 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.

Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Author : Zied Bouraoui
Publisher : Springer Nature
ISBN 13 : 3031456084
Total Pages : 481 pages
Book Rating : 4.0/5 (314 download)

DOWNLOAD NOW!

Book Synopsis Symbolic and Quantitative Approaches to Reasoning with Uncertainty by : Zied Bouraoui

Download or read book Symbolic and Quantitative Approaches to Reasoning with Uncertainty written by Zied Bouraoui and published by Springer Nature. This book was released on 2023-12-20 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2023, held in Arras, France, in September 2023. The 35 full papers presented in this volume were carefully reviewed and selected from 46 submissions. The papers are organized in topical sections about Complexity and Database Theory; Formal Concept Analysis: Theoretical Advances; Formal Concept Analysis: Applications; Modelling and Explanation; Semantic Web and Graphs; Posters.