TY - GEN
T1 - Querying and mining geo-textual data for exploration
T2 - 32nd IEEE International Conference on Data Engineering Workshops, ICDEW 2016
AU - Cong, Gao
AU - Feng, Kaiyu
AU - Zhao, Kaiqi
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/6/20
Y1 - 2016/6/20
N2 - Geo-textual data (e.g., geo-tagged tweets) is becoming increasingly available on the Web. This paper reviews recent studies on searching and mining geo-textual data for exploration, and discusses future directions along with open problems.
AB - Geo-textual data (e.g., geo-tagged tweets) is becoming increasingly available on the Web. This paper reviews recent studies on searching and mining geo-textual data for exploration, and discusses future directions along with open problems.
UR - https://www.scopus.com/pages/publications/84982863839
U2 - 10.1109/ICDEW.2016.7495640
DO - 10.1109/ICDEW.2016.7495640
M3 - 会议稿件
AN - SCOPUS:84982863839
T3 - 2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016
SP - 165
EP - 168
BT - 2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 16 May 2016 through 20 May 2016
ER -