Data Quality and Trust in Big Data : 5th International Workshop, QUAT 2018, Held in Conjunction with WISE 2018, Dubai, UAE, November 12–15, 2018, Revised Selected Papers
Mentés helye:
| Testületi szerző: | |
|---|---|
| Közreműködő(k): | |
| Különgyűjtemény: | e-book |
| Formátum: | könyv |
| Nyelv: | angol |
| Megjelenés: |
Cham : Springer International Publishing,
2019
|
| Sorozat: | Information Systems and Applications, incl. Internet/Web, and HCI ; ; 1123 |
| Tárgyszavak: | |
| Online elérés: | http://doi.org/10.1007/978-3-030-19143-6 |
| Címkék: |
Új címke
A tételhez itt fűzhet saját címkét!
|
| id |
opac-EUL01-001013666 |
|---|---|
| collection |
e-book |
| institution |
L_042 EUL01 |
| spelling |
Data Quality and Trust in Big Data 5th International Workshop, QUAT 2018, Held in Conjunction with WISE 2018, Dubai, UAE, November 12–15, 2018, Revised Selected Papers edited by Hakim Hacid [et al.] Cham Springer International Publishing 2019 IX, 137 p. 45 illusztrált, 19 illusztrált szinesben online forrás szöveg txt rdacontent számítógépes c rdamedia távoli hozzáférés cr rdacarrier szövegfájl PDF rda Information Systems and Applications, incl. Internet/Web, and HCI ; 1123 A Novel Data Quality Metric for Minimality -- Automated Schema Quality Measurement in Large-scale Information Systems -- Email Importance Evaluation in Mailing List Discussions -- SETTRUST: Social Exchange Theory Based Context- Aware Trust Prediction in Online Social Networks -- CNR: Cross-Network Recommendation Embedding User’s Personality -- Firefly Algorithm with Proportional Adjustment Strategy -- A Formal Taxonomy of Temporal Data Defects -- Data-intensive Computing Acceleration with Python in Xilinx FPGA -- Delone and McLean IS Success Model for Evaluating Knowledge Sharing. This book constitutes revised selected papers from the International Workshop on Data Quality and Trust in Big Data, QUAT 2018, which was held in conjunction with the International Conference on Web Information Systems Engineering, WISE 2018, in Dubai, UAE, in November 2018. The 9 papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with novel ideas and solutions related to the problems of exploring, assessing, monitoring, improving, and maintaining the quality of data and trust for Big Data. Nyomtatott kiadás: ISBN 9783030191429 Nyomtatott kiadás: ISBN 9783030191443 Az e-könyvek a teljes ELTE IP-tartományon belül online elérhetők. e-book könyv Application software. EUL10001043965 Y információtárolás visszakeresés EUL10000812410 Y felhő alapú számítástechnika EUL10001009842 Y szövegbányászat konferencia közösségi hálózat online konferencia EUL10001078966 Y jelfeldolgozás digitális EUL10000433618 Y mesterséges intelligencia konferencia EUL10000229822 Y Information storage and retrieval. EUL10000094130 Y Artificial intelligence. EUL10000183324 Y Computer system failures. elektronikus könyv konferenciakötet tanulmányok Hacid, Hakim szerk. SpringerLink (Online service) közreadó testület Information Systems and Applications, incl. Internet/Web, and HCI EUL10001014311 Y Online változat http://doi.org/10.1007/978-3-030-19143-6 Cham Springer International Publishing Imprint: Springer 2019 EUL01 |
| language |
English |
| format |
Book |
| author2 |
Hacid, Hakim, szerk. |
| author_facet |
Hacid, Hakim, szerk. SpringerLink (Online service), közreadó testület |
| author_corporate |
SpringerLink (Online service), közreadó testület |
| author_sort |
Hacid, Hakim |
| title |
Data Quality and Trust in Big Data : 5th International Workshop, QUAT 2018, Held in Conjunction with WISE 2018, Dubai, UAE, November 12–15, 2018, Revised Selected Papers |
| spellingShingle |
Data Quality and Trust in Big Data : 5th International Workshop, QUAT 2018, Held in Conjunction with WISE 2018, Dubai, UAE, November 12–15, 2018, Revised Selected Papers Information Systems and Applications, incl. Internet/Web, and HCI ; ; 1123 Application software. információtárolás -- visszakeresés felhő alapú számítástechnika szövegbányászat -- konferencia közösségi hálózat -- online -- konferencia jelfeldolgozás -- digitális mesterséges intelligencia -- konferencia Information storage and retrieval. Artificial intelligence. Computer system failures. elektronikus könyv konferenciakötet tanulmányok |
| title_sub |
5th International Workshop, QUAT 2018, Held in Conjunction with WISE 2018, Dubai, UAE, November 12–15, 2018, Revised Selected Papers |
| title_short |
Data Quality and Trust in Big Data |
| title_full |
Data Quality and Trust in Big Data 5th International Workshop, QUAT 2018, Held in Conjunction with WISE 2018, Dubai, UAE, November 12–15, 2018, Revised Selected Papers edited by Hakim Hacid [et al.] |
| title_fullStr |
Data Quality and Trust in Big Data 5th International Workshop, QUAT 2018, Held in Conjunction with WISE 2018, Dubai, UAE, November 12–15, 2018, Revised Selected Papers edited by Hakim Hacid [et al.] |
| title_full_unstemmed |
Data Quality and Trust in Big Data 5th International Workshop, QUAT 2018, Held in Conjunction with WISE 2018, Dubai, UAE, November 12–15, 2018, Revised Selected Papers edited by Hakim Hacid [et al.] |
| title_auth |
Data Quality and Trust in Big Data 5th International Workshop, QUAT 2018, Held in Conjunction with WISE 2018, Dubai, UAE, November 12–15, 2018, Revised Selected Papers |
| title_sort |
data quality and trust in big data 5th international workshop quat 2018 held in conjunction with wise 2018 dubai uae november 12 15 2018 revised selected papers |
| series |
Information Systems and Applications, incl. Internet/Web, and HCI ; ; 1123 |
| series2 |
Information Systems and Applications, incl. Internet/Web, and HCI |
| publishDate |
2019 |
| publishDateSort |
2019 |
| physical |
IX, 137 p. 45 illusztrált, 19 illusztrált szinesben : online forrás |
| isbn |
978-3-030-19143-6 |
| callnumber-first |
Q - Science |
| callnumber-subject |
QA - Mathematics |
| callnumber-label |
QA76 |
| callnumber-raw |
15493 |
| callnumber-search |
15493 |
| topic |
Application software. információtárolás -- visszakeresés felhő alapú számítástechnika szövegbányászat -- konferencia közösségi hálózat -- online -- konferencia jelfeldolgozás -- digitális mesterséges intelligencia -- konferencia Information storage and retrieval. Artificial intelligence. Computer system failures. elektronikus könyv konferenciakötet tanulmányok |
| topic_facet |
Application software. információtárolás -- visszakeresés felhő alapú számítástechnika szövegbányászat -- konferencia közösségi hálózat -- online -- konferencia jelfeldolgozás -- digitális mesterséges intelligencia -- konferencia Information storage and retrieval. Artificial intelligence. Computer system failures. elektronikus könyv konferenciakötet tanulmányok Application software. információtárolás felhő alapú számítástechnika szövegbányászat közösségi hálózat jelfeldolgozás mesterséges intelligencia Information storage and retrieval. Artificial intelligence. Computer system failures. visszakeresés konferencia online digitális |
| url |
http://doi.org/10.1007/978-3-030-19143-6 |
| illustrated |
Illustrated |
| dewey-hundreds |
000 - Computer science, information & general works |
| dewey-tens |
000 - Computer science, knowledge & systems |
| dewey-ones |
005 - Computer programming, programs & data |
| dewey-full |
005.7 |
| dewey-sort |
15.7 |
| dewey-raw |
005.7 |
| dewey-search |
005.7 |
| first_indexed |
2024-02-26T16:13:35Z |
| last_indexed |
2024-02-26T16:20:23Z |
| recordtype |
opac |
| publisher |
Cham : Springer International Publishing |
| _version_ |
1791975304956215296 |
| score |
13,371208 |
| generalnotes |
This book constitutes revised selected papers from the International Workshop on Data Quality and Trust in Big Data, QUAT 2018, which was held in conjunction with the International Conference on Web Information Systems Engineering, WISE 2018, in Dubai, UAE, in November 2018. The 9 papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with novel ideas and solutions related to the problems of exploring, assessing, monitoring, improving, and maintaining the quality of data and trust for Big Data. |