264,109 research outputs found
Supporting Data mining of large databases by visual feedback queries
In this paper, we describe a query system that provides visual relevance feedback in querying large databases. Our goal is to support the process of data mining by representing as many data items as possible on the display. By arranging and coloring the data items as pixels according to their relevance for the query, the user gets a visual impression of the resulting data set. Using an interactive query interface, the user may change the query dynamically and receives immediate feedback by the visual representation of the resulting data set. Furthermore, by using multiple windows for different parts of a complex query, the user gets visual feedback for each part of the query and, therefore, may easier understand the overall result. Our system allows to represent the largest amount of data that can be visualized on current display technology, provides valuable feedback in querying the database, and allows the user to find results which, otherwise, would remain hidden in the database
Using Visualization to Support Data Mining of Large Existing Databases
In this paper. we present ideas how visualization technology can be used to improve the difficult process of querying very large databases. With our VisDB system, we try to provide visual support not only for the query specification process. but also for evaluating query results and. thereafter, refining the query accordingly. The main idea of our system is to represent as many data items as possible by the pixels of the display device. By arranging and coloring the pixels according to the relevance for the query, the user gets a visual impression of the resulting data set and of its relevance for the query. Using an interactive query interface, the user may change the query dynamically and receives immediate feedback by the visual representation of the resulting data set. By using multiple windows for different parts of the query, the user gets visual feedback for each part of the query and, therefore, may easier understand the overall result. To support complex queries, we introduce the notion of approximate joins which allow the user to find data items that only approximately fulfill join conditions. We also present ideas how our technique may be extended to support the interoperation of heterogeneous databases. Finally, we discuss the performance problems that are caused by interfacing to existing database systems and present ideas to solve these problems by using data structures supporting a multidimensional search of the database
Staff Pay Levels for Selected Positions in Senatorsâ Offices, FY2009-FY2013
[Excerpt] This report provides pay data for 16 staff position titles that are typically deployed in Senatorsâ offices. The positions include the following: Administrative Director; Casework Supervisor; Caseworker; Chief of Staff; Communications Director; Counsel; Executive Assistant; Field Representative; Legislative Assistant; Legislative Correspondent; Legislative Director; Press Secretary; Scheduler; âSpecials Director,â a combined category that includes the job titles Director of Projects, Director of Special Projects, Director of Federal Projects, Director of Grants, Projects Director, or Grants Director; Staff Assistant; and State Director. Senatorsâ staff pay data for the years FY2009-FY2013 were derived from a random sampling of Senatorsâ offices in which at least one staff member worked in a position in each year
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