1,720,963 research outputs found
Dwuetapowa metoda eksploracji danych pozyskiwanych z obrazów cyfrowych
The main aim of this work is to develop a two-step method of extracting knowledge from
digital images. The method integrates the analysis of digital images directed at the extraction
of quantitative and qualitative characteristics and knowledge extraction methods. The proposed
method let to conduct a new kind of exploratory research aimed at extracting knowledge from
digital images. This method allows to create rule set knowledge bases for decision support
systems.
Analysis of a coherent series of images allows the extraction of interesting qualitative and
quantitative features. Put their further exploratory analysis may allow for the discovery of
regularities occurring, generalizations, connections and relationships. The paper presents the
research literature on both the available algorithms analysis and processing images as well as
methods of exploration of knowledge.
Realized computer program implements the proposed method, while providing the
environment of its experimental verification. Checks on the correctness of the system were
carried out on real data: computer tomographic images of the surface of the tooth,
dermatoscopic skin cancer images and microscopic images of Friction Stir Welding joints.
The proposed method of data mining of digital images was divided into two steps. The first
step uses the selected methods of image analysis, focused on the extraction of quantitative and
qualitative characteristics of objects presented on images. The basic input data for the selected
methods are a series of images depicting the analyzed objects. At the step of extraction of
characteristics:
• Determined their number, type, the names of the attributes and names or ranges of
features.
• Establish a set of graphical transformations to be carried images to their
standardization and to obtain the required characteristics.
The result of this stage are data table - information system. These data are subjected to
pre-processing, covering the processing of missing, outliers, digitization data. Pre-processed
data make decision table. In the table determined attribute decision-making and conditional
attributes. The decision table is input for the second step of the proposed method. This step
involves data mining, ended generating decision rules. This process is preceded by an analysis
of the consistency of the two available methods: qualitative and quantitative. Data mining is
based on an approach based on rough set theory. The result of exploratory research are the
decision rules generated by various methods. Cross validation allows to carry out the quality of
the method. At each stage it is possible to support the use of domain experts who are using a
dedicated system could verify the results obtained with regard to input images.
The last element of the method is the ability to use established knowledge base for the
implementation of subject decision support system. This is done by inference forward module.
The inference can be used for both practical and experimental verification of the received rule
base, as well as to achieve ready to implement the user system.
The proposed method can maximize the automation capabilities of acquiring knowledge
of the images, while allowing for the use of knowledge and competence domain experts
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Jednostki decyzyjne jako narzędzie wizualizacji regułowej bazy wiedzy
The paper presents conception of visualization the structure of rule knowledge bases using decision units. The basic methods of utilization the graphs in rule base visualization task as well as the idea of using decision units have been presented in this paper. The methods of using decision units in kbBuilder system have been also discussed in this paper together with description of the future implementation task for the new software version.Artykuł przedstawia koncepcję wykorzystania jednostek decyzyjnych w zadaniu wizualizacji struktury regułowej bazy wiedzy. W artykule przedstawiono podstawowe metody wykorzystania grafów w zagadnieniu wizualizacji oraz opis koncepcji jednostek decyzyjnych. Przedyskutowano metody wykorzystania jednostek w systemie kbBuilder oraz przedstawiono przyszłe zadania, związane z implementacją nowych wersji oprogramowania
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Biblioteka KBExpertLib dla języka Java – właściwości funkcjonalne i badania wydajnościowe
The KBExpertLib is the originally designed software package which provides most of the expert system shell’s common functions. This library allows to build expert systems using Java programming language. The presentation of the functional properties of the KBExpertLib is the goal of this paper as well as the performance study of basic activities provided by the library. The experimental research are focused on the time efficiency of the basic KBExpertLib operations. The estimation of the memory occupation of the library data structures are also presented. The experiment was performed on the real-world knowledge bases, counting more than 20 000 rules.Biblioteka KBExpertLib jest nowym, w pełni autorskim pakietem, oprogramowaniem, oferującym większość typowych funkcji jądra szkieletowego systemu ekspertowego Biblioteka pozwala na budowanie systemów ekspertowych z wykorzystaniem języka Java. Celem niniejszej pracy jest prezentacja właściwości funkcjonalnych biblioteki KBExpertLib oraz wyników badań wydajnościowych najistotniejszy operacji przez nią oferowanych. Eksperymenty są skoncentrowane na badaniu wydajności czasowej podstawowych operacji biblioteki oraz ocenie jej wymagań pamięciowych. W trakcie badań wykorzystywane były rzeczywiste bazy wiedzy, w tym licząca ponad 20 000 reguł
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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