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Data exploration using example-based methods / (Record no. 562334)

000 -LEADER
fixed length control field 06518nam a22007451i 4500
001 - CONTROL NUMBER
control field 8552738
003 - CONTROL NUMBER IDENTIFIER
control field IEEE
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200413152928.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m eo d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cn |||m|||a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 181128s2019 caua foab 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781681734569
Qualifying information ebook
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781681734576
Qualifying information hardcover
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781681734552
Qualifying information paperback
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.2200/S00881ED1V01Y201810DTM053
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (CaBNVSL)swl000408792
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1076493846
040 ## - CATALOGING SOURCE
Original cataloging agency CaBNVSL
Language of cataloging eng
Description conventions rda
Transcribing agency CaBNVSL
Modifying agency CaBNVSL
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.D3
Item number L573 2019
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.7565
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Lissandrini, Matteo,
Relator term author.
245 10 - TITLE STATEMENT
Title Data exploration using example-based methods /
Statement of responsibility, etc. Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture [San Rafael, California] :
Name of producer, publisher, distributor, manufacturer Morgan & Claypool,
Date of production, publication, distribution, manufacture, or copyright notice 2019.
300 ## - PHYSICAL DESCRIPTION
Extent 1 PDF (xvii, 146 pages) :
Other physical details illustrations.
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type term electronic
Source isbdmedia
338 ## - CARRIER TYPE
Carrier type term online resource
Source rdacarrier
490 1# - SERIES STATEMENT
Series statement Synthesis lectures on data management,
International Standard Serial Number 2153-5426 ;
Volume/sequential designation # 53
538 ## - SYSTEM DETAILS NOTE
System details note Mode of access: World Wide Web.
538 ## - SYSTEM DETAILS NOTE
System details note System requirements: Adobe Acrobat Reader.
500 ## - GENERAL NOTE
General note Part of: Synthesis digital library of engineering and computer science.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references (pages 125-143).
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Introduction -- 1.1 Example-driven exploration -- 1.1.1 Problem formulation -- 1.1.2 Applications of example-based methods -- 1.2 Road map --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Part I. Example-based approaches --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2. Relational data -- 2.1 Preliminaries -- 2.2 Reverse engineering queries (REQ) -- 2.2.1 Exact reverse engineering -- 2.2.2 Approximate reverse engineering -- 2.3 Schema mapping -- 2.3.1 From schema mapping to examples -- 2.3.2 Example-driven schema mapping -- 2.4 Data cleaning -- 2.4.1 Entity matching -- 2.4.2 Interactive data repairing -- 2.5 Example-based data exploration systems -- 2.6 Summary --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 3. Graph data -- 3.1 The graph data model -- 3.2 Search by example nodes -- 3.2.1 Connectivity and closeness -- 3.2.2 Clusters and node attributes -- 3.2.3 Similar entity search in information graphs -- 3.3 Reverse engineering queries on graphs -- 3.3.1 Learning path queries on graphs -- 3.3.2 Reverse engineering SPARQL queries -- 3.4 Search by example structures -- 3.4.1 Graph query via entity-tuples -- 3.4.2 Queries with example subgraphs -- 3.5 Summary --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 4. Textual data -- 4.1 Documents as examples -- 4.1.1 Learning relevance from plain-text -- 4.1.2 Modeling networks of document -- 4.2 Semi-structured data as example -- 4.2.1 Relation extraction -- 4.2.2 Incomplete web tables -- 4.3 Summary --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 5. Unifying example-based approaches -- 5.1 Data model conversion -- 5.2 Seeking relations -- 5.2.1 Implicit relation -- 5.2.2 Explicit relation -- 5.3 Entity extraction and matching --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Part II. Open research directions --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 6. Online learning -- 6.1 Passive learning -- 6.1.1 First- and second-order learning -- 6.1.2 Regularization -- 6.1.3 MindReader -- 6.1.4 Multi-view learning -- 6.2 Active learning -- 6.2.1 Multi-armed bandits -- 6.2.2 Gaussian processes -- 6.3 Explore-by-example --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 7. The road ahead -- 7.1 Supporting interactive explorations -- 7.1.1 Query processing -- 7.1.2 Automatic result analysis -- 7.2 Presenting answers and exploration alternatives -- 7.2.1 Results presentation -- 7.2.2 Generation of exploration alternatives -- 7.3 New challenges -- 7.3.1 Explore heterogeneous data -- 7.3.2 Personalized explorations -- 7.3.3 Exploration for everybody --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 8. Conclusions -- Bibliography -- Authors' biographies.
506 ## - RESTRICTIONS ON ACCESS NOTE
Terms governing access Abstract freely available; full-text restricted to subscribers or individual document purchasers.
510 0# - CITATION/REFERENCES NOTE
Name of source Compendex
510 0# - CITATION/REFERENCES NOTE
Name of source INSPEC
510 0# - CITATION/REFERENCES NOTE
Name of source Google scholar
510 0# - CITATION/REFERENCES NOTE
Name of source Google book search
520 3# - SUMMARY, ETC.
Summary, etc. Data usually comes in a plethora of formats and dimensions, rendering the exploration and information extraction processes challenging. Thus, being able to perform exploratory analyses in the data with the intent of having an immediate glimpse on some of the data properties is becoming crucial. Exploratory analyses should be simple enough to avoid complicate declarative languages (such as SQL) and mechanisms, and at the same time retain the flexibility and expressiveness of such languages. Recently, we have witnessed a rediscovery of the so-called example-based methods, in which the user, or the analyst, circumvents query languages by using examples as input. An example is a representative of the intended results, or in other words, an item from the result set. Example-based methods exploit inherent characteristics of the data to infer the results that the user has in mind, but may not able to (easily) express. They can be useful in cases where a user is looking for information in an unfamiliar dataset, when the task is particularly challenging like finding duplicate items, or simply when they are exploring the data. In this book, we present an excursus over the main methods for exploratory analysis, with a particular focus on example-based methods. We show how that different data types require different techniques, and present algorithms that are specifically designed for relational, textual, and graph data. The book presents also the challenges and the new frontiers of machine learning in online settings which recently attracted the attention of the database community. The lecture concludes with a vision for further research and applications in this area.
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Also available in print.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Title from PDF title page (viewed on November 28, 2018).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Database searching.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Database management.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Programming by example (Computer science)
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term search by example
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term data exploration
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term information retrieval
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term data management
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Mottin, Davide,
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Palpanas, Themis,
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Velegrakis, Yannis,
Relator term author.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
International Standard Book Number 9781681734552
-- 9781681734576
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Synthesis digital library of engineering and computer science.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Synthesis lectures on data management ;
Volume/sequential designation # 53.
International Standard Serial Number 2153-5426
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified Abstract with links to resource
Uniform Resource Identifier https://ieeexplore.ieee.org/servlet/opac?bknumber=8552738
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Date acquired Barcode Date last seen Price effective from Koha item type
        PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 2020-04-13 EBKE834 2020-04-13 2020-04-13 E books

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