Query Approximation Techniques for Databases with Time      Constraints and Incomplete Information
{'Code': '05020000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'IIS', 'LongName': 'Div Of Information & Intelligent Systems'}}
{'SignBlockName': 'Maria Zemankova'}
Present database systems process all the data related to a                 query before giving out responses.  As a result, the size of the                data to be processed becomes excessive for time-constrained (and,               perhaps, realtime) database application environments.  For                      example, for Scientific database applications, data gathering and               analysis capabilities can be greatly enhanced if there are real-                time/online querying capabilities that return approximate                       responses to check the quality of the generated scienctific data.               Also, with real-time/online "on-the-fly" data analysis (querying)               capabilities, the size of the stored data in scientific databases               can be kept small and, thus, manageable.  Similar problems occur                in time-constrained manufacturing database applications.                             A new methodology is needed to cut down systematically the                 time to process the data involved in processing the query.  To                  this end, one can use data samples and utilize statistical                      approximation to construct an approximate response to given                     query.  In this research, a methodology will be developed for                   the construction of approximate query responses for databases                   under time (and/or accuracy) constraints, and with incomplete                   data.
[{'FirstName': 'Gultekin', 'LastName': 'Ozsoyoglu', 'EmailAddress': 'tekin@case.edu', 'StartDate': '08/15/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Z. Meral', 'LastName': 'Ozsoyoglu', 'EmailAddress': 'meral@case.edu', 'StartDate': '08/15/1988', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
{'Name': 'Case Western Reserve University', 'CityName': 'CLEVELAND', 'ZipCode': '441064901', 'PhoneNumber': '2163684510', 'StreetAddress': 'Nord Hall, Suite 615', 'CountryName': 'United States', 'StateName': 'Ohio', 'StateCode': 'OH'}
{'Code': '6855', 'Text': 'INFORMATION & KNOWLEDGE MANAGE'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1988&All=true', 'xml': '8811057.xml'}