Mining the archives:

Data Mining Web Archives

Many institutions are now building rich, significant archives of web content. Though the number of web archiving programs has grown, access models for these collections have remained focused on URL-based discovery and traditional live-web-style browsing. Given the resources required to build and maintain web archives, finding new forms of access for these collection will help increase use and t...

Occupational health and accidents in Feldspar mining. One company's experience.

An Open Dataset for Research on Audio Field Recording Archives: freefield1010

We introduce a free and open dataset of 7690 audio clips sampled from the field-recording tag in the Freesound audio archive. The dataset is designed for use in research related to data mining in audio archives of field recordings / soundscapes. Audio is standardised, and audio and metadata are Creative Commons licensed. We describe the data preparation process, characterise the dataset descrip...

Multi-Data Mining for Understanding Leadership Behavior

We propose an approach for understanding leadership behavior in dot-jp, a non-profit organization, by analyzing heterogeneous multi-data composed of questionnaires and mailing list archives. Attitudes toward leaders were obtained from the questionnaires, and human networks were extracted from the mailing list archives. By integrating the results, we discovered that leaders must receive messages...

Structuring Domain-Specific Text Archives by Deriving a Probabilistic XML DTD

Domain-specific documents often share an inherent, though undocumented structure. This structure should be made explicit to facilitate efficient, structure-based search in archives as well as information integration. Inferring a semantically structured XML DTD for an archive and subsequently transforming its texts into XML documents is a promising method to reach these objectives. Based on the ...

Data Mining for “Big Archives” Analysis: a Case Study

We present a case of archival analysis using a combination of data mining methods. The team of researchers, composed by archivists and computer scientists, used a collection of declassified Department of State Cables as a case study. The methods implemented included Support Vector Machine (SVM) and Association Rule Mining. Combined in an analysis workflow, the results of the different methods a...