عنوان

Big Data Applications and Services 2017 :

(Number (ISBN

9789811306952

(Number (ISBN

9789811306969

(Number (ISBN

9811306958

(Number (ISBN

9811306966

Erroneous ISBN

9789811306945

Erroneous ISBN

981130694X

Title Proper

Big Data Applications and Services 2017 :

General Material Designation

[Book]

Other Title Information

the 4th International Conference on Big Data Applications and Services /

First Statement of Responsibility

Wookey Lee, Carson K. Leung, editors.

Place of Publication, Distribution, etc.

Singapore :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

[2019]

Date of Publication, Distribution, etc.

©2019

Specific Material Designation and Extent of Item

1 online resource

Series Title

Advances in intelligent systems and computing,

Volume Designation

volume 770

ISSN of Series

2194-5357 ;

Text of Note

Chapter 1. 3D volume visualization system based on GPUs for medical big data -- Chapter 2. A fire frame simulation scheme with massively parallel processing -- Chapter 3. A framework for calculating damages of personal information leakage accidents -- Chapter 4. A hierarchical structure for representing 3D respiration organ models -- Chapter 5. An effective method for detecting outlying regions in a 2-dimensional array -- Chapter 6. An effective recall-oriented information retrieval system evaluation -- Chapter 7. Chentry: Automated Evaluation of Students' Learning Progress for Entry Education Software -- Chapter 8. Constrained big data mining in an edge computing environment -- Chapter 9. Constrained frequent pattern mining from big data via crowdsourcing -- Chapter 10. Data-driven prediction of ship destinations in the harbor area using deep learning -- Chapter 11. Design and implementation of a sunshine duration calculation system with massively parallel processing -- Chapter 12. Developing 3D annotation features for 3D digital textbooks -- Chapter 13. Efficient mining of time interval-based association rules -- Chapter 14. Investigating the role of musical genre in human perception of music stretching resistance -- Chapter 15. Keyword-based metadata modeling for experimental omics data dissemination -- Chapter 16. Non-linear time-series mining of social influence -- Chapter 17. PEGASEF: A provenance-based big data service framework for efficient simulation execution on shared computing clusters -- Chapter 18. Preference-aware music recommendation using song lyrics -- Chapter 19. Real time smart safe-return-home service based on big data analytics -- Index.

0

Text of Note

This proceedings volume contains selected papers from the Fourth International Conference on Big Data Applications and Services (BigDAS 2017), held in Tashkent, Uzbekistan on August 15-18, 2017. Big data has become a core technology providing innovative solutions in many fields including social media, healthcare and manufacturing. The Fourth International Conference on Big Data Applications and Services (BigDAS 2017) presented innovative results, encouraged academic and industrial interaction, and promoted collaborative research in the field of big data worldwide. The conference was organized by the Korea Big Data Services Society and National University of Uzbekistan.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9789811306952

Title

Big Data Applications and Services 2017.

International Standard Book Number

9789811306945

Parallel Title

BigDAS 2017

Big data, Congresses.

Big data.

COMPUTERS-- Databases-- Data Warehousing.

COM-- 021040

UYQ

UYQ

Number

Edition

Class number

Lee, Wookey

Leung, Carson K.

International Conference on Big Data Applications and Services(4th :2017 :, Tashkent, Uzbekistan)

Date of Transaction

20200823224036.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y