Abstract
Inferring drug usage patterns includes age of drug abuse and intention of rehabilitation, which is of much importance for drug abuse surveillance. The challenges are how to mine patterns from posts and interaction relationships between users. In this paper, we propose a novel drug usage pattern inference method, which improves the inference accuracy by integrating the semantic features and interaction relationships effectively. Experimental results on a real-world dataset demonstrate the efficacy of the proposed method.
| Original language | English (US) |
|---|---|
| Title of host publication | 2019 IEEE International Conference on Intelligence and Security Informatics, ISI 2019 |
| Editors | Xiaolong Zheng, Ahmed Abbasi, Michael Chau, Alan Wang, Lina Zhou |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 134-136 |
| Number of pages | 3 |
| ISBN (Electronic) | 9781728125046 |
| DOIs | |
| State | Published - Jul 2019 |
| Externally published | Yes |
| Event | 17th IEEE International Conference on Intelligence and Security Informatics, ISI 2019 - Shenzhen, China Duration: Jul 1 2019 → Jul 3 2019 |
Publication series
| Name | 2019 IEEE International Conference on Intelligence and Security Informatics, ISI 2019 |
|---|
Conference
| Conference | 17th IEEE International Conference on Intelligence and Security Informatics, ISI 2019 |
|---|---|
| Country | China |
| City | Shenzhen |
| Period | 7/1/19 → 7/3/19 |
Fingerprint
Keywords
- Drug Abuse Surveillance
- Interaction relationship
- Semantic information
- Usage Patterns Inference
ASJC Scopus subject areas
- Safety, Risk, Reliability and Quality
- Computer Vision and Pattern Recognition
- Information Systems and Management
- Information Systems
Cite this
Inferring users' usage patterns for drug abuse surveillance. / Liu, Ruoran; Li, Qiudan; Dajun Zeng, Daniel.
2019 IEEE International Conference on Intelligence and Security Informatics, ISI 2019. ed. / Xiaolong Zheng; Ahmed Abbasi; Michael Chau; Alan Wang; Lina Zhou. Institute of Electrical and Electronics Engineers Inc., 2019. p. 134-136 8823475 (2019 IEEE International Conference on Intelligence and Security Informatics, ISI 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Inferring users' usage patterns for drug abuse surveillance
AU - Liu, Ruoran
AU - Li, Qiudan
AU - Dajun Zeng, Daniel
PY - 2019/7
Y1 - 2019/7
N2 - Inferring drug usage patterns includes age of drug abuse and intention of rehabilitation, which is of much importance for drug abuse surveillance. The challenges are how to mine patterns from posts and interaction relationships between users. In this paper, we propose a novel drug usage pattern inference method, which improves the inference accuracy by integrating the semantic features and interaction relationships effectively. Experimental results on a real-world dataset demonstrate the efficacy of the proposed method.
AB - Inferring drug usage patterns includes age of drug abuse and intention of rehabilitation, which is of much importance for drug abuse surveillance. The challenges are how to mine patterns from posts and interaction relationships between users. In this paper, we propose a novel drug usage pattern inference method, which improves the inference accuracy by integrating the semantic features and interaction relationships effectively. Experimental results on a real-world dataset demonstrate the efficacy of the proposed method.
KW - Drug Abuse Surveillance
KW - Interaction relationship
KW - Semantic information
KW - Usage Patterns Inference
UR - http://www.scopus.com/inward/record.url?scp=85072986003&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072986003&partnerID=8YFLogxK
U2 - 10.1109/ISI.2019.8823475
DO - 10.1109/ISI.2019.8823475
M3 - Conference contribution
AN - SCOPUS:85072986003
T3 - 2019 IEEE International Conference on Intelligence and Security Informatics, ISI 2019
SP - 134
EP - 136
BT - 2019 IEEE International Conference on Intelligence and Security Informatics, ISI 2019
A2 - Zheng, Xiaolong
A2 - Abbasi, Ahmed
A2 - Chau, Michael
A2 - Wang, Alan
A2 - Zhou, Lina
PB - Institute of Electrical and Electronics Engineers Inc.
ER -