BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data

@inproceedings{Lin2018BigIN4II,
  title={BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data},
  author={Qingwei Lin and Weichen Ke and Jian-Guang Lou and Hongyu Zhang and Kaixin Sui and Yong Xu and Ziyi Zhou and Bo Qiao and Dongmei Zhang},
  booktitle={KDD},
  year={2018}
}
The ability to identify insights from multi-dimensional big data is important for business intelligence. To enable interactive identification of insights, a large number of dimension combinations need to be searched and a series of aggregation queries need to be quickly answered. The existing approaches answer interactive queries on big data through data cubes or approximate query processing. However, these approaches can hardly satisfy the performance or accuracy requirements for ad-hoc… CONTINUE READING