상세정보
학술대회
An Algorithm for Finding Frequent Patterns in Social Media Stream
- 저자
- 하수욱, 이용미, 남광우, 류근호
- 발행일
- 201310
- 출처
- International Conference on Information and Communication Technology Convergence (ICTC) 2013, pp.616-621
- 협약과제
- 13ME1100, 정보통신분야 국제표준화기구(ISO, IEC, JTC1) 협력 및 대응 전략 연구, 이병남
- 초록
- Social media has substantially changed the way organizations, communities, and individuals communicate. However, the existing studies do not mention how the knowledge hidden in the gigantic volume of collected data would be found out. Efficient mining methods for social data stream are therefore still in great demand, especially for sharing common information among different services. In this paper, we propose an algorithm composed with FP-tree and LRU structure to discover frequent rules from the social media streaming environment. In the results of the performance evaluation, the runtime of UPTree is faster than existing FP-tree based approach (average 60%) on SNS environment. © 2013 IEEE.
- KSP 제안 키워드
- Common Information, Data stream, Media streaming, Performance evaluation, Social media stream, Tree based Approach, fp-tree, frequent patterns, social data