Design and Implementation of Fuzzy Query System Based on Ajax

2012 ◽  
pp. 659-664
Author(s):  
Fenghua Liu ◽  
Aiming Wang ◽  
Liang-Liang Chen ◽  
Guang-Hui Wei
Keyword(s):  
Design And Implementation ◽  
Fuzzy Query ◽  
Query System

Approximate Data Querying in Fuzzy Relational Database

2002 ◽  
Vol 6 (1) ◽  
pp. 33-40
Author(s):  
Rolly Intan ◽  
◽  
Masao Mukaidono ◽  
Keyword(s):  
Relational Database ◽  
Similarity Relation ◽  
Imprecise Data ◽  
Fuzzy Information ◽  
Fuzzy Similarity ◽  
Fuzzy Similarity Relation ◽  
Data Querying ◽  
Fuzzy Query ◽  
Probability Relation ◽  
Query System

Fuzzy relational database was proposed for dealing with imprecise data or fuzzy information in a relational database. In order to provide a more realistic relation in representing similarity between two imprecise data, we need to weaken fuzzy similarity relation to be weak fuzzy similarity relation in which fuzzy conditional probability relation (FCPR, for short) is regarded as a concrete example of the weak fuzzy similarity relation. In this paper, application of approximate data querying is discussed induced by FCPR in the presence of the fuzzy relational database. Application of approximate data querying in order to provide fuzzy query relation is presented into two frameworks, namely dependent inputs and independent inputs. Finally, related to join operator, approximate join of two or more fuzzy query relations is given for the purpose of extending query system.

Design and Implementation of Archives Query System Based on B/S Structure

2012 ◽  
Vol 241-244 ◽  
pp. 3098-3102
Author(s):  
Lian Feng Zhao
Keyword(s):  
High Education ◽  
System Architecture ◽  
Management System ◽  
Teachers College ◽  
Design And Implementation ◽  
Management Efficiency ◽  
Query System ◽  
Function Module ◽  
And Function ◽  
S Model

This thesis takes archives management system of Huzhou Teachers College which the author has participated in its development when working in the archive as an example, and briefly introduces the system architecture and function module of archives management system in high education based on B/S model and ASP technology, which greatly raises network level of file query and management efficiency in colleges and university.

scholarly journals Business-oriented customized big data query system and its SQL parser design and implementation

2018 ◽  
Vol 232 ◽  
pp. 01004
Author(s):  
Wenshuai Ge ◽  
Gang He ◽  
Xinwen Liu
Keyword(s):  
Big Data ◽  
User Behavior ◽  
The Internet ◽  
Query Interface ◽  
User Behavior Analysis ◽  
Design And Implementation ◽  
Data Query ◽  
Query System ◽  
Internet User Behavior ◽  
Analysis Platform

This paper proposes a big data query system for customized queries based on specific business needs. This paper introduces the components and structure of the query system. ANTLR tools are used as language recognizer to design and implement a customized SQL dialect. The system builds a simpler and easier query interface on Spark SQL, which satisfies the query requirements of the Internet user behavior analysis platform.

Fuzzy Querying Capability at Core of a RDBMS

2011 ◽  
pp. 160-184 ◽  
Author(s):  
Ana Aguilera ◽  
José Tomás Cadenas ◽  
Leonid Tineo
Keyword(s):  
Open Source ◽  
Relational Database ◽  
Management System ◽  
Database Management ◽  
Database Management System ◽  
Experimental Results ◽  
Relational Database Management System ◽  
Design And Implementation ◽  
Fuzzy Query ◽  
Relational Database Management

This chapter is focused in incorporating the fuzzy capabilities to a relational database management system (RDBMS) of open source. The fuzzy capabilities include connectors, modifiers, comparators, quantifiers, and queries. The extensions consider a more flexible DDL and DML languages. The aim is to show the design and implementation details in the RDBMS PostgreSQL. For this, a fuzzy query processor and fuzzy access mechanism has been designed and implemented. The physical fuzzy relational operators have been also defined and implemented. The flow of a fuzzy query through the different modules (parser, planner, optimizer, and executor) has been shown. Some experimental results have been included to demonstrate the performance of the proposal solution. These results show that the extensions have not decreased the performance of the RDBMS.

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