The Online Set Aggregation Problem

Author(s):  
Rodrigo A. Carrasco ◽  
Kirk Pruhs ◽  
Cliff Stein ◽  
José Verschae
2017 ◽  
Vol 72 (9-10) ◽  
pp. 551-561 ◽  
Author(s):  
Mouzna Tahir ◽  
Abid Khan ◽  
Abdul Hameed ◽  
Masoom Alam ◽  
Muhammad Khurram Khan ◽  
...  

2020 ◽  
Author(s):  
Alexandre Ferreira Novello ◽  
Marco Antonio Casanova

Natural Language Interface to Databases (NLIDB) systems usually do not deal with aggregations, which can be of two types: aggregation functions (such as count, sum, average, minimum, and maximum) and grouping functions (GROUP BY). This paper addresses the creation of a generic module, to be used in NLIDB systems, that allows such systems to perform queries with aggregations, on the condition that the query results the NLIDB returns are or can be transformed into tables. The paper covers aggregations with specificities, such as ambiguities, timescale differences, aggregations in multiple attributes, the use of superlative adjectives, basic unit measure recognition, and aggregations in attributes with compound names.


Author(s):  
Lian-Sheng Yang ◽  
Shu-Heng Chen ◽  
Chia-Ling Chang ◽  
Yi-Heng Tseng

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