How Much Does It Cost? Optimization of Costs in Sequence Analysis of Social Science Data

One major methodological problem in analysis of sequence data is the determination of costs from which distances between sequences are derived. Although this problem is currently not optimally dealt with in the social sciences, it has some similarity with problems that have been solved in bioinformatics for three decades. In this article, the authors propose an optimization of substitution and deletion/insertion costs based on computational methods. The authors provide an empirical way of determining costs for cases, frequent in the social sciences, in which theory does not clearly promote one cost scheme over another. Using three distinct data sets, the authors tested the distances and cluster solutions produced by the new cost scheme in comparison with solutions based on cost schemes associated with other research strategies. The proposed method performs well compared with other cost-setting strategies, while it alleviates the justification problem of cost schemes.

A process for mining science & technology documents databases, illustrated for the case of "knowledge discovery and data mining"

This paper presents a process of mining research & development abstract databases to profile current status and to project potential developments for target technologies, The process is called "technology opportunities analysis." This article steps through the process using a sample data set of abstracts from the INSPEC database on the topic o "knowledge discovery and data mining." The paper offers a set of specific indicators suitable for mining such databases to understand innovation prospects. In illustrating the uses of such indicators, it offers some insights into the status of knowledge discovery research*.

University of Iowa School of Library and Information Science newsletter. 1994-1995, no. 36.

Newsletter from the University of Iowa School of Library and Information Science.

University of Iowa School of Library and Information Science newsletter. 1995-1996, no. 37.

Newsletter from the University of Iowa School of Library and Information Science.

University of Iowa School of Library and Information Science newsletter. 1996-1997, no. 38.

Newsletter from the University of Iowa School of Library and Information Science.

University of Iowa School of Library and Information Science newsletter. 1998-1999, no. 40.

Newsletter from the University of Iowa School of Library and Information Science.

University of Iowa School of Library and Information Science newsletter. Spring 2000, no. 41.

Newsletter from the University of Iowa School of Library and Information Science.

University of Iowa School of Library and Information Science newsletter. Spring 2001, no. 42.

Newsletter from the University of Iowa School of Library and Information Science.

University of Iowa School of Library and Information Science newsletter. Spring 2002, no. 43.

Newsletter from the University of Iowa School of Library and Information Science.

University of Iowa School of Library and Information Science newsletter. Fall 2007, no. 46.

Newsletter from the University of Iowa School of Library and Information Science.

University of Iowa School of Library and Information Science newsletter. Fall 2009, no. 47.

Newsletter from the University of Iowa School of Library and Information Science.

University of Iowa School of Library and Information Science newsletter. Fall 2010, no. 48.

Newsletter from the University of Iowa School of Library and Information Science.