An information retrieval perspective on fuzzy database systems (ACM 82 Panel Session)

1982 ◽  
Author(s):  
Bill P. Buckles
Keyword(s):  
Information Retrieval ◽  
Database Systems ◽  
Panel Session ◽  
Fuzzy Database

Dynamic Taxonomies

2011 ◽  
pp. 1537-1546
Author(s):  
Giovanni M. Sacco
Keyword(s):  
Knowledge Management ◽  
Information Retrieval ◽  
Knowledge Worker ◽  
Database Systems ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
End User ◽  
Information Base ◽  
Search Tasks ◽  
Complex Information

End-user interactive access to complex information is one of the key functionalities of knowledge management systems. Traditionally, access paradigms have focused on retrieval of data on the basis of precise specifications: examples of this approach include queries on structured database systems, and information retrieval. However, most search tasks, and notably those typical of a knowledge worker, are exploratory and imprecise in essence: the user needs to explore the information base, find relationships among concepts, and thin alternatives out in a guided way.

Name that Tune! An Introduction to Musical Information Retrieval

2013 ◽  
Author(s):  
Jean Tague-Sutcliffe ◽  
Stephen Downie ◽  
Shane Dunne
Keyword(s):  
Information Retrieval ◽  
Word Processing ◽  
Database Systems ◽  
Spatial Processing ◽  
Verbal Processing ◽  
Numerical Processing ◽  
Processing Capability ◽  
Widespread Availability ◽  
In The Beginning

In the beginning, computers, as their name implies, had numerical processing capability. The development of word processing and database systems gave them verbal processing capability and of graphics cards and software spatial processing capability. Now, with the widespread availability of sound cards and MIDI files, we may claim, as well, that computers have musical processing capability.

scholarly journals Fuzzy database for medical diagnosis.

2021 ◽  
Author(s):  
Rehana Parvin
Keyword(s):  
Decision Making ◽  
Fuzzy Inference ◽  
Database Systems ◽  
Database System ◽  
Inference System ◽  
Related Information ◽  
Data Value ◽  
Schema Design ◽  
Health Related ◽  
Fuzzy Database

A challenge of working with traditional database systems with large amounts of data is that decision making requires numerous comparisons. Health-related database systems are examples of such databases, which contain millions of data entries and require fast data processing to examine related information to make complex decisions. In this thesis, a fuzzy database system is developed by integration of fuzzy inference system (FIS) and fuzzy schema design, and implementing it by SQL in three different health-care contexts; the assessments of heart disease, diabetes mellitus, and liver disorders. The fuzzy database system is implemented with the potential of having any form of data and tested with different types of data value, including crisp, linguistic, and null (i.e., missing) data. The developed system can explore crisp and linguistic data with loosely defined boundary conditions for decision-making. FIS and neural network-based solutions are implemented in MATLAB for the mentioned contexts for the comparison and validation with the dataset used in published works.

Dynamic Taxonomies

2010 ◽  
pp. 229-239
Author(s):  
Giovanni M. Sacco
Keyword(s):  
Knowledge Management ◽  
Information Retrieval ◽  
Knowledge Worker ◽  
Database Systems ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
End User ◽  
Information Base ◽  
Search Tasks ◽  
Complex Information

End-user interactive access to complex information is one of the key functionalities of knowledge management systems. Traditionally, access paradigms have focused on retrieval of data on the basis of precise specifications: examples of this approach include queries on structured database systems, and information retrieval. However, most search tasks, and notably those typical of a knowledge worker, are exploratory and imprecise in essence: the user needs to explore the information base, find relationships among concepts, and thin alternatives out in a guided way.

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