Appointment: PhD Student (Graduated)

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 10 of 12 Results
Using social network information to discover truth of movie ranking
Jun 10, 2018 - Truth Discovery
Yang, Jielong; Tay, Wee Peng, 2018, "Using social network information to discover truth of movie ranking", https://doi.org/10.21979/N9/L5TTRW, DR-NTU (Data), V1, UNF:6:nRQNiWhKidICLOUiRM+VhA== [fileUNF]
The real dataset consists of movie evaluations from IMDB, which provides a platform where individuals can evaluate movies on a scale of 1 to 10. If a user rates a movie and clicks the share button, a Twitter message is generated. We then extract the rating from the Twitter messag...
MovieRanking2Levels.tab
Jun 10, 2018 - Using social network information to discover truth of movie ranking
Tabular Data - 25.9 KB - 4 Variables, 2266 Observations - UNF:6:idmdOHVRX2lCN+qFXSrj2A==
The movie evaluations of agents
MovieRanking4Levels.tab
Jun 10, 2018 - Using social network information to discover truth of movie ranking
Tabular Data - 25.9 KB - 4 Variables, 2266 Observations - UNF:6:VEOQFDZaksL/wFtlcyylEQ==
The movie evaluations of agents
Readme.txt
Jun 10, 2018 - Using social network information to discover truth of movie ranking
Plain Text - 1.8 KB - MD5: 69782abe088023764d8f337c5b256aa0
Introduction of the dataset
SocialNetwork.tab
Jun 10, 2018 - Using social network information to discover truth of movie ranking
Tabular Data - 4.0 KB - 2 Variables, 516 Observations - UNF:6:hGoR7qSrSeOimkpW39DBww==
The following relationship of agents
Truth Discovery(Nanyang Technological University)
Jun 10, 2018Sensor Calibration and Truth Discovery
Light sensors data for blind calibration
Nov 22, 2017 - Sensor Calibration and Truth Discovery
Yang, Jielong; Tay, Wee Peng; Zhong, Xionghu, 2017, "Light sensors data for blind calibration", https://doi.org/10.21979/N9/QNV6CW, DR-NTU (Data), V1
We collected measurements from 10 high quality light sensors. We use two sensors as reference sensors to provide the ground truth and perturbed the others by covering them with paper. The data is collected in 3 different areas of a passageway. The differences of the light intensi...
area1.txt
Nov 22, 2017 - Light sensors data for blind calibration
Plain Text - 140.5 KB - MD5: bfa3fa0a2a9957e9f527603ca9a7c388
Data in this file were collected in area 1.
area2.txt
Nov 22, 2017 - Light sensors data for blind calibration
Plain Text - 30.1 KB - MD5: 6f128e86e0ac74fc6c71c8d3614285d9
Data in this file were collected in area 2.
area3.txt
Nov 22, 2017 - Light sensors data for blind calibration
Plain Text - 29.4 KB - MD5: 2d55553decbd62cbf07423689440b34d
Data in this file were collected in area 3.
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.