상세정보
학술대회
Query Transformation for Approximate Query Processing Using Synthetic Data from Deep Generative Models
- 발행일
- 202210
- 출처
- International Conference on Consumer Electronics (ICCE) 2022 : Asia, pp.314-317
- 협약과제
- 22HS4100, 빅데이터 대상의 빠른 질의 처리가 가능한 탐사 데이터 분석 지원 근사질의 DBMS 기술 개발, 이태휘
- 초록
- In exploratory data analysis, interactive latency can make a significant impact on the data exploration space and user productivity. To provide low latency for the aggregation query, approximate query processing can be considered as a possible alternative. In this paper, we describe the transformation rules for processing approximation queries. We present the preliminary experimental results on the performance of approximate query processing with synthetic data.
- KSP 제안 키워드
- Aggregation query, Approximate query processing, Exploratory Data Analysis, Interactive Latency, Low latency, Query transformation, Synthetic data, Transformation rules, data exploration, generative models