Understanding rework, the causes of rework, and the relationship between issues, decisions and the associated actions, is crucial in minimizing the fundamental industrial problems in system engineering projects. The aim of our research is to apply text mining techniques to track elements of decision making and extract semantic associations between decisions, actions and rework. Text mining is s...

Automated mining of novel documents or sentences from chronologically ordered documents or sentences is an open challenge in text mining. In this paper, we describe the preprocessing techniques for detecting novel Chinese text and discuss the influence of different Part of Speech (POS) filtering rules on the detection performance. Experimental results on APWSJ and TREC 2004 Novelty Track data s...

The analysis of medical records is a major challenge, considering they are generally presented in plain text, have a very specific technical vocabulary and are nearly always unstructured. It is an interdisciplinary work that requires knowledge from several fields. The analysis may have several goals, such as assistance on clinical decision, classification of medical procedures, and to support h...

Target identification for tractography studies requires solid anatomical knowledge validated by an extensive literature review across species for each seed structure to be studied. Manual literature review to identify targets for a given seed region is tedious and potentially subjective. Therefore, complementary approaches would be useful. We propose to use text-mining models to automatically s...

XMLmining is a unique application of data mining, in that it deals with structured XML contents. The introductory paper provides a brief but comprehensive review of milestones towards XML mining. XML mining is not a one-day outcome by chance, but an accumulated inheritance of continuous evolution from data mining throughout text mining and web mining. Furthermore, the paper envisages the applic...

In this paper we review the main intermediate forms proposed in text mining, and we briefly study some fuzzy counterparts. The concept of intermediate form applies to any knowledge representation employed to represent in a structured way the semantic content of a text corpus. Intermediate forms play a central role in the text mining process since it is necessary to transform plain text into a f...

Semantic Text Mining and its Application in Biomedical Domain Illhoi Yoo Xiaohua Hu, Ph.D A huge amount of biomedical knowledge and novel discoveries have been produced and collected in text databases or digital libraries, such as MEDLINE, because the most natural form to store information is text. In order to cope with this pressing text information overload, text mining is employed. However, ...

This paper has been written with the aim of presenting motivations for my dissertation research, based on gaps in current research in text/web mining, as well as to provide an outline of the research I propose to do for my Ph.D. dissertation. The overall goal is to explore methods for knowledge discovery from the web. Text mining also known as Text Data Mining (TDM) [27], Knowledge Discovery in...

The volume of published biomedical research, and therefore the underlying biomedical knowledge base, is expanding at an increasing rate. Among the tools that can aid researchers in coping with this information overload are text mining and knowledge extraction. Significant progress has been made in applying text mining to named entity recognition, text classification, terminology extraction, rel...