User-directed exploration of mining space with multiple attributes

2003 ◽  
Author(s):  
Chang-Shing Perng ◽  
Haixun Wang ◽  
Sheng Ma ◽  
J.L. Hellerstein
Keyword(s):  
Multiple Attributes

scholarly journals Depth-based classification for relational data with multiple attributes

2021 ◽  
Vol 184 ◽  
pp. 104732
Author(s):  
Xu Zhang ◽  
Yahui Tian ◽  
Guoyu Guan ◽  
Yulia R. Gel
Keyword(s):  
Relational Data ◽  
Multiple Attributes

scholarly journals Empowering Natural Language Interfaces to Databases with Aggregations

2021 ◽  
Vol 12 (5) ◽  
Author(s):  
Alexandre F. Novello ◽  
Marco A. Casanova
Keyword(s):  
Natural Language ◽  
Relational Database ◽  
Natural Language Interfaces ◽  
Aggregation Functions ◽  
Natural Language Interface ◽  
Measurement Units ◽  
Database Interface ◽  
Multiple Attributes ◽  
Generic Module ◽  
Query Aggregation

A Natural Language Interface to Database (NLIDB) refers to a database interface that translates a question asked in natural language into a structured query. Aggregation questions express aggregation functions, such as count, sum, average, minimum and maximum, and optionally a group by clause and a having clause. NLIDBs deliver good results for standard questions but usually do not deal with aggregation questions. The main contribution of this article is a generic module, called GLAMORISE (GeneraL Aggregation MOdule using a RelatIonal databaSE), that extends NLIDBs to cope with aggregation questions. GLAMORISE covers aggregations with ambiguities, timescale differences, aggregations in multiple attributes, the use of superlative adjectives, basic recognition of measurement units, and aggregations in attributes with compound names.

scholarly journals Some Dynamic Graphics for Spatial Data (with Multiple Attributes) in a GIS

Compstat ◽  
1994 ◽  
pp. 105-119 ◽  
Author(s):  
Dianne Cook ◽  
Noel Cressie ◽  
James Majure ◽  
Jürgen Symanzik
Keyword(s):  
Spatial Data ◽  
Dynamic Graphics ◽  
Multiple Attributes

scholarly journals A Novel Solution for the Aggregation Problem in Natural Language Interface to Databases (NLIDB)

2020 ◽  
Author(s):  
Alexandre Ferreira Novello ◽  
Marco Antonio Casanova
Keyword(s):  
Natural Language ◽  
Basic Unit ◽  
Aggregation Functions ◽  
Natural Language Interface ◽  
Aggregation Problem ◽  
The Creation ◽  
Multiple Attributes ◽  
Generic Module

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.

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