申请试用
HOT
登录
注册
 
Machine Learning for Online Query Relaxation

Machine Learning for Online Query Relaxation

da仔
/
发布于
/
1792
人观看
In this paper we provide a fast, data-driven solution to the failing query problem: given a query that returns an empty answer, how can one relax the query’s constraints so that it returns a non-empty set of tuples? We introduce a novel algorithm, loqr, which is designed to relax queries that are in the disjunctive normal form and contain a mixture of discrete and continuous attributes. loqr discovers the implicit relationships that exist among the various domain attributes and then uses this knowledge to relax the constraints from the failing query.
6 点赞
2 收藏
0下载
相关文档
确认
3秒后跳转登录页面
去登陆