Text Mining and its Applications

Sirmakessis, Spiros

doi:10.1007/978-3-540-45219-5

Cited by 17 publications

References 37 publications

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Understanding public‐access cyberlearning projects using text mining and topic analysis

McArthur

Crompton

2012

J Am Soc Inf Sci Tec

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The federal government has encouraged open access to publicly funded federal science research results, but it is unclear what knowledge can be gleaned from them and how the knowledge can be used to improve scientific research and shape federal research policies. In this article, we present the results of a preliminary study of cyberlearning projects funded by the National Science Foundation (NSF) that address these issues. Our work demonstrates that text-mining tools can be used to partially automate the process of finding NSF's cyberlearning awards and characterizing the fine-grained topics implicit in award abstracts. The methodology we have established to assess NSF's cyberlearning investments should generalize to other areas of research and other repositories of public-access documents.

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Understanding public‐access cyberlearning projects using text mining and topic analysis

McArthur

Crompton

2012

J Am Soc Inf Sci Tec

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Novel Approaches to Unsupervised Clustering Through k-Windows Algorithm

Tasoulis

Vrahatis

2005

Knowledge Mining

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Summary. The extraction of meaningful information from large collections of data is a fundamental issues in science. To this end, clustering algorithms are typically employed to identify groups (clusters) of similar objects. A critical issue for any clustering algorithm is the determination of the number of clusters present in a dataset. In this contribution we present a clustering algorithm that in addition to partitioning the data into clusters, it approximates the number of clusters during its execution. We further present modifications of this algorithm for different distributed environments, and dynamic databases. Finally, we present a modification of the algorithm that exploits the fractal dimension of the data to partition the dataset.

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Komponenten und Potenziale eines analytischen Customer Relationship Management

Hippner

Analytische Informationssysteme

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Text Mining and its Applications

Cited by 17 publications

References 37 publications

Understanding public‐access cyberlearning projects using text mining and topic analysis

Understanding public‐access cyberlearning projects using text mining and topic analysis

Novel Approaches to Unsupervised Clustering Through k-Windows Algorithm

Komponenten und Potenziale eines analytischen Customer Relationship Management

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