This paper explores possibilities for marrying data visualization to online archival finding aids, which have continually suffered from usability issues in their long history. This paper describes a project in which two different data visualization models were built to replace sections of an archival finding aid. Users were then shown the models,…

Introduction: In the big data age, we have to deal with a tremendous amount of information, which can be collected from various types of sources. For information search systems such as Web search engines or online digital libraries, the collection of documents becomes larger and larger. For some queries, an information search system needs to…

In the context of association rule mining, the state-of-the-art in privacy preserving data mining provides solutions for categorical and Boolean association rules but not for quantitative association rules. This research fills this gap by describing a method based on discrete wavelet transform (DWT) to protect input data privacy while preserving…

Annotations play an increasingly crucial role in scientific exploration and discovery, as the amount of data and the level of collaboration among scientists increases. There are many systems today focusing on annotation management, querying, and propagation. Although all such systems are implemented to take user input (i.e., the annotations…

This study investigated the longitudinal trends of academic articles in Mobile Learning (ML) using text mining techniques. One hundred and nineteen (119) refereed journal articles and proceedings papers from the SCI/SSCI database were retrieved and analyzed. The taxonomies of ML publications were grouped into twelve clusters (topics) and four…

The variety and complexity of potentially-related data resources available for querying--webpages, databases, data warehouses--has been growing ever more rapidly. There is a growing need to pose integrative queries "across" multiple such sources, exploiting foreign keys and other means of interlinking data to merge information from diverse…

In various research areas, the availability of open datasets is considered as key for research and application purposes. These datasets are used as benchmarks to develop new algorithms and to compare them to other algorithms in given settings. Finding such available datasets for experimentation can be a challenging task in technology enhanced…

This study investigated an innovative approach of program evaluation through analyses of student learning logs, demographic data, and end-of-course evaluation surveys in an online K-12 supplemental program. The results support the development of a program evaluation model for decision making on teaching and learning at the K-12 level. A case study…

Holds that database producers and online system vendors have failed to maintain sufficient quality control over their products, and that online searchers should voice their complaints about file documentation errors, indexing inconsistencies, and incorrect data entries. (FM)

Briefly surveys the numerous applications of fuzzy set theory on data representation and information retrieval. The importance of fuzzy set theory with respect to information systems is illustrated with a bibliography of 86 papers that describe data systems that are somehow "fuzzy." (Author/EM)

This manual on microcomputer-based database management programs provides a description of the key characteristics of database software as well as guidelines for designing a database, uses of database programs, and selecting the right software. Three sets of concepts related to database management are listed and explained: creating a database,…

Describes the Forest Science Data Bank that contains 2,400 data sets from over 350 existing ecological studies. Database features described include involvement of the scientific community; database documentation; data quality assurance; security; data access and retrieval; and data import/export flexibility. Appendices present the Quantitative…

There is currently much interest in ascribing outcomes to Masters (M) level programmes. It is particularly difficult to define M level outcomes in bioinformatics for students on non-specialist programmes. An approach is described that attempts to discriminate undergraduate from M level in a data-mining exercise. Differentiation of level is based…

The 13 papers collected here were presented at the Workshop on Data Documentation held at Reisenburg Castle, Federal Republic of Germany, in July 1975. This workshop was a first attempt to identify some of the problems in the field of data documentation, formulate them, and solve them as far as possible. The subject was approached from four…

Recent technological advances in computers and communications make possible the integration of data systems and the exchange of data among them on an expanding scale. However, the full effect of these advances cannot be realized unless the need for uniform understanding of the common information (data elements) and its expression in data systems…