Complexity of Query Processing in the Deductive Databases with Incomplete Information PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Complexity of Query Processing in the Deductive Databases with Incomplete Information PDF full book. Access full book title Complexity of Query Processing in the Deductive Databases with Incomplete Information by Rutgers University. Department of Computer Science. Download full books in PDF and EPUB format.

Complexity of Query Processing in the Deductive Databases with Incomplete Information

Complexity of Query Processing in the Deductive Databases with Incomplete Information PDF Author: Rutgers University. Department of Computer Science
Publisher:
ISBN:
Category : Computational complexity
Languages : en
Pages : 46

Book Description


Complexity of Query Processing in the Deductive Databases with Incomplete Information

Complexity of Query Processing in the Deductive Databases with Incomplete Information PDF Author: Rutgers University. Department of Computer Science
Publisher:
ISBN:
Category : Computational complexity
Languages : en
Pages : 46

Book Description


Query Processing in Deductive Databases with Incomplete Information

Query Processing in Deductive Databases with Incomplete Information PDF Author: Rutgers University. Department of Computer Science
Publisher:
ISBN:
Category : Database management
Languages : en
Pages : 27

Book Description


Uncertainty Management in Information Systems

Uncertainty Management in Information Systems PDF Author: Amihai Motro
Publisher: Springer Science & Business Media
ISBN: 1461562457
Category : Computers
Languages : en
Pages : 473

Book Description
As its title suggests, "Uncertainty Management in Information Systems" is a book about how information systems can be made to manage information permeated with uncertainty. This subject is at the intersection of two areas of knowledge: information systems is an area that concentrates on the design of practical systems that can store and retrieve information; uncertainty modeling is an area in artificial intelligence concerned with accurate representation of uncertain information and with inference and decision-making under conditions infused with uncertainty. New applications of information systems require stronger capabilities in the area of uncertainty management. Our hope is that lasting interaction between these two areas would facilitate a new generation of information systems that will be capable of servicing these applications. Although there are researchers in information systems who have addressed themselves to issues of uncertainty, as well as researchers in uncertainty modeling who have considered the pragmatic demands and constraints of information systems, to a large extent there has been only limited interaction between these two areas. As the subtitle, "From Needs to Solutions," indicates, this book presents view points of information systems experts on the needs that challenge the uncer tainty capabilities of present information systems, and it provides a forum to researchers in uncertainty modeling to describe models and systems that can address these needs.

Query Processing over Incomplete Databases

Query Processing over Incomplete Databases PDF Author: Yunjun Gao
Publisher: Springer Nature
ISBN: 303101863X
Category : Computers
Languages : en
Pages : 106

Book Description
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.

Logic in Databases

Logic in Databases PDF Author: Dino Pedreschi
Publisher: Springer Science & Business Media
ISBN: 9783540618140
Category : Computers
Languages : en
Pages : 516

Book Description
This book constitutes the strictly refereed post-workshop proceedings of the International Workshop on Logic in Databases, LID'96, held in San Miniato, Italy, in July 1996, as the final meeting of an EC-US cooperative activity. The volume presents 21 revised full papers selected from 49 submissions as well as 3 invited contributions and a summary of a panel discussion on deductive databases: challenges, opportunities and future directions. The retrospective survey on logic and databases by Jack Minker deserves a special mention: it is a 56-page overview and lists 357 references. The papers are organized in sections on uncertainty, temporal and spatial reasoning, updates, active databases, semantics, advanced applications, query evaluation, language extensions, and logic constructs and expressive power.

Logics for Databases and Information Systems

Logics for Databases and Information Systems PDF Author: Jan Chomicki
Publisher: Springer Science & Business Media
ISBN: 1461556430
Category : Computers
Languages : en
Pages : 442

Book Description
Time is ubiquitous in information systems. Almost every enterprise faces the problem of its data becoming out of date. However, such data is often valu able, so it should be archived and some means to access it should be provided. Also, some data may be inherently historical, e.g., medical, cadastral, or ju dicial records. Temporal databases provide a uniform and systematic way of dealing with historical data. Many languages have been proposed for tem poral databases, among others temporal logic. Temporal logic combines ab stract, formal semantics with the amenability to efficient implementation. This chapter shows how temporal logic can be used in temporal database applica tions. Rather than presenting new results, we report on recent developments and survey the field in a systematic way using a unified formal framework [GHR94; Ch094]. The handbook [GHR94] is a comprehensive reference on mathematical foundations of temporal logic. In this chapter we study how temporal logic is used as a query and integrity constraint language. Consequently, model-theoretic notions, particularly for mula satisfaction, are of primary interest. Axiomatic systems and proof meth ods for temporal logic [GHR94] have found so far relatively few applications in the context of information systems. Moreover, one needs to bear in mind that for the standard linearly-ordered time domains temporal logic is not re cursively axiomatizable [GHR94]' so recursive axiomatizations are by necessity incomplete.

Database Theory - ICDT '92

Database Theory - ICDT '92 PDF Author: Joachim Biskup
Publisher: Springer Science & Business Media
ISBN: 9783540560395
Category : Computers
Languages : en
Pages : 466

Book Description
The papers in this volume were presented at the International Conference on Database Theory, held in Berlin, Germany, October 14-16, 1992. This conference initiated the merger of two series of conferences on theoretical aspects of databases that were formed in parallel by different scientific communities in Europe. The first series was known as the International Conference on Database Theory and the second as the Symposium on Mathematical Fundamentals of Database Systems. In the future, ICDT will be organized every two years, alternating with the more practically oriented series of conferences on Extending Database Technology (EDBT). The volume contains 3 invited lectures and 26 contributed papers selected from a total of 107 submissions. The papers are organized into sections on constraints and decomposition, query languages, updates and active databases, concurrency control and recovery, knowledge bases, datalog complexity and optimization, object orientation, information capacity and security, and data structures and algorithms. Two of the invited papers survey research into theoretical database issues done in Eastern Europe during the past decade.

Incompleteness and Uncertainty in Information Systems

Incompleteness and Uncertainty in Information Systems PDF Author: V.S. Alagar
Publisher: Springer Science & Business Media
ISBN: 1447132424
Category : Computers
Languages : en
Pages : 245

Book Description
The Software Engineering and Knowledgebase Systems (SOFfEKS) Research Group of the Department of Computer Science, Concordia University, Canada, organized a workshop on Incompleteness and Uncertainty in Information Systems from October 8-9, 1993 in Montreal. A major aim of the workshop was to bring together researchers who share a concern for issues of incompleteness and uncertainty. The workshop attracted people doing fundamental research and industry oriented research in databases, software engineering and AI from North America, Europe and Asia. The workshop program featured six invited talks and twenty other presentations. The invited speakers were: Martin Feather (University of Southern CalifornialInformation Systems Institute) Laks V. S. Lakshmanan (Concordia University) Ewa Orlowska (Polish Academy of Sciences) z. Pawlak (Warsaw Technical University and Academy of Sciences) F. Sadri (Concordia University) A. Skowron (Warsaw University) The papers can be classified into four groups: rough sets and logic, concept analysis, databases and information retrieval, and software engineering. The workshop opened with a warm welcome speech from Dr. Dan Taddeo, Dean, Faculty of Engineering and Computer Science. The first day's presentations were in rough sets, databases and information retrieval. Papers given on the second day centered around software engineering and concept analysis. Sufficient time was given in between presentations to promote active interactions and numerous lively discussions. At the end of two days, the participants expressed their hope that this workshop would be continued.

Functional Deductive Databases: Query Processing in the Presence of Limited Function Symbols

Functional Deductive Databases: Query Processing in the Presence of Limited Function Symbols PDF Author: Rutgers University. Dept. of Computer Science
Publisher:
ISBN:
Category : Database management
Languages : en
Pages : 162

Book Description
Fourth, we present two alternative approaches to database-independent specification of infinite query answers. Finally, we show that stratified negation can be allowed in functional deductive databases without increasing the computational complexity of query processing."

Database Theory – ICDT 2007

Database Theory – ICDT 2007 PDF Author: Thomas Schwentick
Publisher: Springer Science & Business Media
ISBN: 354069269X
Category : Computers
Languages : en
Pages : 429

Book Description
This book constitutes the refereed proceedings of the 11th International Conference on Database Theory, ICDT 2007, held in Barcelona, Spain in January 2007. The 25 revised papers presented together with 3 invited papers were carefully reviewed and selected from 111 submissions. The papers are organized in topical sections on information integration and peer to peer, axiomatizations for XML, expressive power of query languages, incompleteness, inconsistency, and uncertainty, XML schemas and typechecking, stream processing and sequential query processing, ranking, XML update and query, as well as query containment.