1,720,959 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
CLIENT SIDE MULTI-LINGUAL MODEL FOR ENHANCING PERFORMANCE IN SHORT MESSAGE SERVICE SPAM DETECTION
Full text linkMillions of money are lost by mobile phone users every year due to short message service
spam, a social engineering skill attempting to obtain sensitive information such as passwords,
personal identification numbers and other private data by posing as a trustworthy entity through
short message service. Most spammers are constantly developing new sophisticated methods,
rendering previous techniques obsolete. A thoughtful deficiency in most sms spam detection
methods is lack of satisfying accuracy, reliability, low performance and comprehensibility
especially when individual classifiers are used, these remains important aspects to be
considered for an optimal model development. Sms spam detection using machine learning
techniques is a new approach especially in ubiquitous computing devices such as mobile
phones, moreover the design of short message spam detection techniques in a mobile platform
is challenging task due to the non-stationary distribution of the data and the multi-lingual nature
of text messages from users. It is in this background that the research proposes a multi-stage
ensemble hybrid client side multilingual sms spam detection model for a mobile environment
using machine learning techniques. It involves enhanced use of pre-processing techniques,
content based feature engineering techniques, multilingual natural language processing, data
training and testing. A hybrid ensemble machine learning method is used to combine the
classifiers based on a combination algorithm. The contributors of multi-lingual messages data
include a combination of secondary data from University of California Irvine public repository
and primary data from local users and sampled local repositories in Kenya. Machine learning
and data mining experiments are conducted using Java based Waikato environment for
knowledge analysis. The results and discussions are analyzed and presented in form of
descriptive statistics. The effectiveness of the proposed model is empirically validated using
ensemble classification methods that gave an overall classification accuracy of 98.2606%. The
results from this study demonstrates that the proposed ensemble model improves the overall
performance by increasing the accuracy and reducing false positives
Variations on the Author
Full text link“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
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe 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
An Evaluation of Web Based Expert System as a Catalyst for Maize Production in Kenya
Full text linkMaize is the most important and staple food in Kenya. The Kenya Maize varieties comprise of white semi-dent grains and have been bred and selected for a wide range of climatic conditions and altitudes above sea level. The Worldwide web has played a major role in the field of expert systems. A web technology allows the knowledge engineers and domain experts to build expert systems that will have dynamic knowledge base capabilities [Marwaha et al. 2002]. With the use of the internet Domain Experts can update the knowledge at a centralized location (Server) and the users can access this knowledge on Web user Interface (Client). The use of expert system as tool in agriculture sector in Kenya has not taken off. Expert systems use knowledge to solve problems that normally would require human intelligence. Expert system has a lot of benefits especially to farmers, farming officers and Agricultural institutions. In this paper the Information was gathered through questionnaire administration in selected areas of small and large scale farmers. The questionnaires were presented in such a way that it will provide the degree of usage of the web based expert system in maize production. The validation of the results were carried out using paired- t .This paper further shows the underutilization of web based expert systems in agricultural sector in kenya and Proactive methods should be devised to improve Maize production using expert systems, which will in turn improve productivity hence increase income to the farmer, reduce losses due to, poor choice of variety, diseases prevention and pests control. Keywords: expert systems, Inference engine, Knowledge Base, Domain expert, MySQL, Web
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe 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
An Evaluation of Web Based Expert System as a Catalyst for Maize Production in Kenya
Full text linkMaize is the most important and staple food in Kenya. The Kenya Maize varieties comprise of white semi-dent
grains and have been bred and selected for a wide range of climatic conditions and altitudes above sea level. The
Worldwide web has played a major role in the field of expert systems. A web technology allows the knowledge
engineers and domain experts to build expert systems that will have dynamic knowledge base capabilities
[Marwaha et al. 2002]. With the use of the internet Domain Experts can update the knowledge at a centralized
location (Server) and the users can access this knowledge on Web user Interface (Client). The use of expert
system as tool in agriculture sector in Kenya has not taken off. Expert systems use knowledge to solve problems
that normally would require human intelligence. Expert system has a lot of benefits especially to farmers,
farming officers and Agricultural institutions. In this paper the Information was gathered through questionnaire
administration in selected areas of small and large scale farmers. The questionnaires were presented in such a
way that it will provide the degree of usage of the web based expert system in maize production. The validation
of the results were carried out using paired- t .This paper further shows the underutilization of web based expert
systems in agricultural sector in kenya and Proactive methods should be devised to improve Maize production
using expert systems, which will in turn improve productivity hence increase income to the farmer, reduce losses
due to, poor choice of variety, diseases prevention and pests control
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