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 |