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Query Processing Over Incomplete Databases


Query Processing Over Incomplete Databases
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Query Processing Over Incomplete Databases


Query Processing Over Incomplete Databases
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Author : Yunjun Gao
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2018-08-20

Query Processing Over Incomplete Databases written by Yunjun Gao and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-20 with Computers categories.


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.



Query Processing Over Incomplete Databases


Query Processing Over Incomplete Databases
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Author : Yunjun Gao
language : en
Publisher: Springer Nature
Release Date : 2022-06-01

Query Processing Over Incomplete Databases written by Yunjun Gao and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Computers categories.


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.



Query Processing Over Incomplete Databases


Query Processing Over Incomplete Databases
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Author : Yunjun Gao
language : en
Publisher: Synthesis Lectures on Data Man
Release Date : 2018-08-20

Query Processing Over Incomplete Databases written by Yunjun Gao and has been published by Synthesis Lectures on Data Man this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-20 with Computers categories.


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.



Distributed Query Processing Over Incomplete Sampled And Locality Aware Data


Distributed Query Processing Over Incomplete Sampled And Locality Aware Data
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Author : Bruhathi Handanahal Sundarmurthy
language : en
Publisher:
Release Date : 2018

Distributed Query Processing Over Incomplete Sampled And Locality Aware Data written by Bruhathi Handanahal Sundarmurthy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.


There are numerous challenges in distributed query processing. The focus of this thesis is to provide solutions to three problem areas: (a) querying incomplete data, (b) approximate query processing (AQP) over subsets of data, and (c) high cost of shuffling data while processing distributed queries. In distributed databases, large volumes of data are generally stored partitioned across multiple nodes and a user query typically spans many nodes. As the number of nodes accessed by a query increases, the probability of nodes being unavailable also increases; additionally, the amount of data shuffled across nodes also increases, thus increasing communication costs. To provide fast responses to queries over distributed databases, AQP has been proposed. In AQP, queries are processed over a representative subset of the database and estimates of the query result are provided along with confidence bounds. While AQP provides estimates of query results in a fraction of the time required to run the query over all data, quickly obtaining representative samples for a query in a distributed setting is challenging. We first consider the problem of querying over incomplete data. In failure and straggler scenarios, parts of the database that are still available form an incomplete database. We propose m-tables, a new representation system for representing and querying over incomplete databases. Next, we consider the problem of AQP over subsets of data. We propose the ASAP (Approximation Strategies for Aggregate queries through Partitioning) framework to provide estimates and confidence bounds for aggregate queries using any subset of a database when the database is co-hash partitioned. A database is co-hash partitioned when some tables are hash partitioned, and the remaining tables are co-located through join predicates. Finally, we study the problem of high cost of shuffling data across nodes for distributed query processing. Ideally, given a query and data distribution, we want to execute the query without any communication: in this case, the query is said to be parallel-correct w.r.t. the distribution. We again consider co-hash distribution schemes and as our main result, we determine the conditions for a given query to be parallel-correct for a given co-hash distribution scheme.



Advanced Database Systems For Integration Of Media And User Environments 98 Advanced Database Research


Advanced Database Systems For Integration Of Media And User Environments 98 Advanced Database Research
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Author : Yahiko Kambayashi
language : en
Publisher: World Scientific
Release Date : 1998-03-31

Advanced Database Systems For Integration Of Media And User Environments 98 Advanced Database Research written by Yahiko Kambayashi and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-03-31 with categories.




Answering Queries Using Views Second Edition


Answering Queries Using Views Second Edition
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Author : Foto Afrati
language : en
Publisher: Springer Nature
Release Date : 2022-05-31

Answering Queries Using Views Second Edition written by Foto Afrati and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.


The topic of using views to answer queries has been popular for a few decades now, as it cuts across domains such as query optimization, information integration, data warehousing, website design and, recently, database-as-a-service and data placement in cloud systems. This book assembles foundational work on answering queries using views in a self-contained manner, with an effort to choose material that constitutes the backbone of the research. It presents efficient algorithms and covers the following problems: query containment; rewriting queries using views in various logical languages; equivalent rewritings and maximally contained rewritings; and computing certain answers in the data-integration and data-exchange settings. Query languages that are considered are fragments of SQL, in particular select-project-join queries, also called conjunctive queries (with or without arithmetic comparisons or negation), and aggregate SQL queries. This second edition includes twonew chapters that refer to tree-like data and respective query languages. Chapter 8 presents the data model for XML documents and the XPath query language, and Chapter 9 provides a theoretical presentation of tree-like data model and query language where the tuples of a relation share a tree-structured schema for that relation and the query language is a dialect of SQL with evaluation techniques appropriately modified to fit the richer schema.



Fault Tolerant Distributed Transactions On Blockchain


Fault Tolerant Distributed Transactions On Blockchain
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Author : Suyash Gupta
language : en
Publisher: Springer Nature
Release Date : 2022-06-01

Fault Tolerant Distributed Transactions On Blockchain written by Suyash Gupta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Computers categories.


Since the introduction of Bitcoin—the first widespread application driven by blockchain—the interest of the public and private sectors in blockchain has skyrocketed. In recent years, blockchain-based fabrics have been used to address challenges in diverse fields such as trade, food production, property rights, identity-management, aid delivery, health care, and fraud prevention. This widespread interest follows from fundamental concepts on which blockchains are built that together embed the notion of trust, upon which blockchains are built. 1. Blockchains provide data transparancy. Data in a blockchain is stored in the form of a ledger, which contains an ordered history of all the transactions. This facilitates oversight and auditing. 2. Blockchains ensure data integrity by using strong cryptographic primitives. This guarantees that transactions accepted by the blockchain are authenticated by its issuer, are immutable, and cannot be repudiated by the issuer. This ensures accountability. 3. Blockchains are decentralized, democratic, and resilient. They use consensus-based replication to decentralize the ledger among many independent participants. Thus, it can operate completely decentralized and does not require trust in a single authority. Additions to the chain are performed by consensus, in which all participants have a democratic voice in maintaining the integrity of the blockchain. Due to the usage of replication and consensus, blockchains are also highly resilient to malicious attacks even when a significant portion of the participants are malicious. It further increases the opportunity for fairness and equity through democratization. These fundamental concepts and the technologies behind them—a generic ledger-based data model, cryptographically ensured data integrity, and consensus-based replication—prove to be a powerful and inspiring combination, a catalyst to promote computational trust. In this book, we present an in-depth study of blockchain, unraveling its revolutionary promise to instill computational trust in society, all carefully tailored to a broad audience including students, researchers, and practitioners. We offer a comprehensive overview of theoretical limitations and practical usability of consensus protocols while examining the diverse landscape of how blockchains are manifested in their permissioned and permissionless forms.



Query Processing Over Graph Structured Data On The Web


Query Processing Over Graph Structured Data On The Web
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Author : M. Acosta Deibe
language : en
Publisher: IOS Press
Release Date : 2018-10-12

Query Processing Over Graph Structured Data On The Web written by M. Acosta Deibe and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-12 with Computers categories.


In the last years, Linked Data initiatives have encouraged the publication of large graph-structured datasets using the Resource Description Framework (RDF). Due to the constant growth of RDF data on the web, more flexible data management infrastructures must be able to efficiently and effectively exploit the vast amount of knowledge accessible on the web. This book presents flexible query processing strategies over RDF graphs on the web using the SPARQL query language. In this work, we show how query engines can change plans on-the-fly with adaptive techniques to cope with unpredictable conditions and to reduce execution time. Furthermore, this work investigates the application of crowdsourcing in query processing, where engines are able to contact humans to enhance the quality of query answers. The theoretical and empirical results presented in this book indicate that flexible techniques allow for querying RDF data sources efficiently and effectively.



Conceptual Modeling


Conceptual Modeling
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Author : Eric Yu
language : en
Publisher: Springer
Release Date : 2014-10-10

Conceptual Modeling written by Eric Yu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-10 with Computers categories.


This book constitutes the refereed proceedings of the 32nd International Conference on Conceptual Modeling, ER 2014, held in Atlanta, GA, USA. The 23 full and 15 short papers presented were carefully reviewed and selected from 80 submissions. Topics of interest presented and discussed in the conference span the entire spectrum of conceptual modeling including research and practice in areas such as: data on the web, unstructured data, uncertain and incomplete data, big data, graphs and networks, privacy and safety, database design, new modeling languages and applications, software concepts and strategies, patterns and narratives, data management for enterprise architecture, city and urban applications.



Non Volatile Memory Database Management Systems


Non Volatile Memory Database Management Systems
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Author : Joy Arulraj
language : en
Publisher: Springer Nature
Release Date : 2022-06-01

Non Volatile Memory Database Management Systems written by Joy Arulraj and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Computers categories.


This book explores the implications of non-volatile memory (NVM) for database management systems (DBMSs). The advent of NVM will fundamentally change the dichotomy between volatile memory and durable storage in DBMSs. These new NVM devices are almost as fast as volatile memory, but all writes to them are persistent even after power loss. Existing DBMSs are unable to take full advantage of this technology because their internal architectures are predicated on the assumption that memory is volatile. With NVM, many of the components of legacy DBMSs are unnecessary and will degrade the performance of data-intensive applications. We present the design and implementation of DBMS architectures that are explicitly tailored for NVM. The book focuses on three aspects of a DBMS: (1) logging and recovery, (2) storage and buffer management, and (3) indexing. First, we present a logging and recovery protocol that enables the DBMS to support near-instantaneous recovery. Second, we propose astorage engine architecture and buffer management policy that leverages the durability and byte-addressability properties of NVM to reduce data duplication and data migration. Third, the book presents the design of a range index tailored for NVM that is latch-free yet simple to implement. All together, the work described in this book illustrates that rethinking the fundamental algorithms and data structures employed in a DBMS for NVM improves performance and availability, reduces operational cost, and simplifies software development.