The category proliferation problem in ART neural networks

This article describes the design of a new model IKMART, for classification of documents and their incorporation into categories based on the KMART architecture. The architecture consists of two networks that mutually cooperate through the interconnection of weights and the output matrix of the coded documents. The architecture retains required network features such as incremental learning without the need of descriptive and input/output fuzzy data, learning acceleration and classification of documents and a minimal number of user-defined parameters. The conducted experiments with real documents showed a more precise categorization of documents and higher classification performance in comparison to the classic KMART algorithm.Web of Science145634

Ontology-Based MEDLINE Document Classification

An increasing and overwhelming amount of biomedical information is available in the research literature mainly in the form of free-text. Biologists need tools that automate their information search and deal with the high volume and ambiguity of free-text. Ontologies can help automatic information processing by providing standard concepts and information about the relationships between concepts. The Medical Subject Headings (MeSH) ontology is already available and used by MEDLINE indexers to annotate the conceptual content of biomedical articles. This paper presents a domain-independent method that uses the MeSH ontology inter-concept relationships to extend the existing MeSH-based representation of MEDLINE documents. The extension method is evaluated within a document triage task organized by the Genomics track of the 2005 Text REtrieval Conference (TREC). Our method for extending the representation of documents leads to an improvement of 17% over a non-extended baseline in terms of normalized utility, the metric defined for the task. The SVMlight software is used to classify documents

Effective pattern discovery for text mining

Many data mining techniques have been proposed for mining useful patterns in text documents. However, how to effectively use and update discovered patterns is still an open research issue, especially in the domain of text mining. Since most existing text mining methods adopted term-based approaches, they all suffer from the problems of polysemy and synonymy. Over the years, people have often held the hypothesis that pattern (or phrase) based approaches should perform better than the term-based ones, but many experiments did not support this hypothesis. This paper presents an innovative technique, effective pattern discovery which includes the processes of pattern deploying and pattern evolving, to improve the effectiveness of using and updating discovered patterns for finding relevant and interesting information. Substantial experiments on RCV1 data collection and TREC topics demonstrate that the proposed solution achieves encouraging performance

Semantic industrial categorisation based on search engine index

Analysis of specialist language is one of the most pressing problems when trying to build intelligent content analysis system. Identifying the scope of the language used and then understanding the relationships between the language entities is a key problem. A semantic relationship analysis of the search engine index was devised and evaluated. Using search engine index provides us with access to the widest database of knowledge in any particular field (if not now, then surely in the future). Social network analysis of keywords collection seems to generate a viable list of the specialist terms and relationships among them. This approach has been tested in the engineering and medical sectors

Project-based Learning to Raise Students\u27 Speaking Ability: Its\u27 Effect and Implementation (a Mix Method Research in Speaking II Subject at Stain Ponorogo)

This research tries to attempt to know the effect of Project-based learning toward speaking ability and its\u27 effective implementation. The design of the research sequential was designs in which data that are collected and examined in one stage inform the data collected in the next phase. This research applied a quantitative design for the first stage. It is categorized into causal comparative method, or ex post facto research design and the second stage is qualitative design. Population in this research was the 2 STAIN Ponorogo. The total numbers of the students are 85 students and the sample was 70 students. The researcher used questionnaires, test, observation and interview as data collection. Since the hypothesis is intended to find the effect of the Project-Based Learning toward students\u27 speaking ability, the Simple Linier Regression by using SPSS 19.00 for Windows was applied. The second phase, the result of observation and interview were analyzed by Miles and Huberman\u27s view of qualitative data analysis consisting of data reduction, data display, and drawing conclusion. The result of analysis showed that there was significant effect of Project-Based Learning toward students\u27 speaking ability. Moreover, the effective procedures for the implementation of Project-Based Learning are (a) dividing the class into group, (b) explaining the project and (c) performing the project. At last, the students showed significantly positive attitude toward the implementation of Project-Based Learning in speaking class. semester of English Department Students in STAIN Ponorogo. The total numbers of the students are 85 students and the sample was 70 students. The researcher used questionnaires, test, observation and interview as data collection. Since the hypothesis is intended to find the effect of the Project-Based Learning toward students\u27 speaking ability, the Simple Linier Regression by using SPSS 19.00 for Windows was applied. The second phase, the result of observation and interview were analyzed by Miles and Huberman\u27s view of qualitative data analysis consisting of data reduction, data display, and drawing conclusion. The result of analysis showed that there was significant effect of Project-Based Learning toward students\u27 speaking ability. Moreover, the effective procedures for the implementation of Project-Based Learning are (a) dividing the class into group, (b) explaining the project and (c) performing the project. At last, the students showed significantly positive attitude toward the implementation of Project-Based Learning in speaking class

Rethinking climate engineering categorization in the context of climate change mitigation and adaptation

The portfolio of approaches to respond to the challenges posed by anthropogenic climate change has broadened beyond mitigation and adaptation with the recent discussion of potential climate engineering options. How to define and categorize climate engineering options has been a recurring issue in both public and specialist discussions. We assert here that current definitions of mitigation, adaptation, and climate engineering are ambiguous, overlap with each other and thus contribute to confusing the discourse on how to tackle anthropogenic climate change. We propose a new and more inclusive categorization into five different classes: anthropogenic emissions reductions (AER), territorial or domestic removal of atmospheric CO2 and other greenhouse gases (D-GGR), trans-territorial removal of atmospheric CO2 and other greenhouse gases (T-GGR), regional to planetary targeted climate modification (TCM), and climate change adaptation measures (including local targeted climate and environmental modification, abbreviated CCAM). Thus, we suggest that techniques for domestic greenhouse gas removal might better be thought of as forming a separate category alongside more traditional mitigation techniques that consist of emissions reductions. Local targeted climate modification can be seen as an adaptation measure as long as there are no detectable remote environmental effects. In both cases, the scale and intensity of action are essential attributes from the technological, climatic, and political viewpoints. While some of the boundaries in this revised classification depend on policy and judgement, it offers a foundation for debating on how to define and categorize climate engineering options and differentiate them from both mitigation and adaptation measures to climate change