Location
Forney Hall (FRNY) G124
Session Number
Session 02
Start Date
21-6-2010 3:30 PM
End Date
21-6-2010 4:30 PM
Description
Our computerized world churns out data and their analysis is a challenge. Data mining and data fusion are two complementary approaches to processing dynamic, large and/or heterogeneous data. They are already used in various research disciplines and real‐world applications and that use will grow. This paper describes and defines these approaches using examples, and suggests possible services and applications by libraries. The focus is on eliciting the common information concepts that might be of interest, not on understanding the details of the computer/information science work, or the validity of the approach in solving a particular research or commercial problem.
Data mining, data fusion, and libraries
Forney Hall (FRNY) G124
Our computerized world churns out data and their analysis is a challenge. Data mining and data fusion are two complementary approaches to processing dynamic, large and/or heterogeneous data. They are already used in various research disciplines and real‐world applications and that use will grow. This paper describes and defines these approaches using examples, and suggests possible services and applications by libraries. The focus is on eliciting the common information concepts that might be of interest, not on understanding the details of the computer/information science work, or the validity of the approach in solving a particular research or commercial problem.
Comments
Presentation slides available from eCommons@Cornell: http://hdl.handle.net/1813/15216