1,720,986 research outputs found
CESAR: a web-based advisement system for ECST Advisement and Recruitment Center
No full textCESAR is a web-based advisement system developed for the Student Advisement and Recruitment Center of the College of Engineering, Computer Science, and Technology (ECST) at California State University, Los Angeles (CSULA). CESAR offers many features such as managing student information, facilitating advisement, providing appointments, and generating reports. Using the CESAR, students can store their academic related information, perform course planning, and make advisement appointments. The advisors can view and manage students' information, and give advisement in several ways, such as preparing course plan templates for students, viewing, editing, and approving the students' course plans, and sending advisement records to students. The ARC staff can use CESAR to manage data such as user, course, schedules, and so on in CESAR. The project began in winter quarter 2011. The first prototype was delivered in September 2011. Currently it is in operational use by the ARC and the new features have been added upon request.Thesis (M.S.) California State University, Los Angeles, 2012Committee members: Chengyu Sun, Russell J. Abbott, Raj S. Pamul
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
Architectural Thermal Forms II: Brick Envelope
No full textThe paper presents an architectural concept and design method that investigates the use of dynamic factors in evolutionary form finding processes. The architectural construct, phenotype, is based on a brick assembly and how this can be organized based upon material properties and environmental aspects selected from the factors used in the Fanger equations to determine perceived comfort. The work finds that the developed method can be applied as performance oriented driver, while at the same time allowing diversity and variation in the architectural design space
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
Sentiment Analysis Using A Vector Clustering Approach
No full textAnalyzing sentiments plays an attractive role on text mining, information retrieval, and natural language processing tasks. In this thesis, we start with a word vector representation and present a cluster-based method to classify Amazon reviews. Our proposed method is able to remove irrelevant parts within a review and capture the rich sentiment cluster. We experiment with several topic domains of Amazon reviews and use Support Vector Machines on our feature vectors. We also compare our method with lexicon approaches and a Naïve Bayes classifier. Our method achieves a 65% overall accuracy in a two classes experiment and a 30% overall accuracy in a five classes experiment. This thesis contributes to the sentiment analysis research. Specifically, it introduces an approach to combine the word vector representation with clustering algorithms. Experimental results also indicate that the proposed method can improve the performance of classification in a domain-independent manner
CESAR: a web-based advisement system for ECST Advisement and Recruitment Center
No full textThesis (M.S.)
California State University, Los Angeles, 2012Committee members: Chengyu Sun, Russell J. Abbott, Raj S. PamulaCESAR is a web-based advisement system developed for the Student Advisement and Recruitment Center of the College of Engineering, Computer Science, and Technology (ECST) at California State University, Los Angeles (CSULA). CESAR offers many features such as managing student information, facilitating advisement, providing appointments, and generating reports. Using the CESAR, students can store their academic related information, perform course planning, and make advisement appointments. The advisors can view and manage students' information, and give advisement in several ways, such as preparing course plan templates for students, viewing, editing, and approving the students' course plans, and sending advisement records to students. The ARC staff can use CESAR to manage data such as user, course, schedules, and so on in CESAR. The project began in winter quarter 2011. The first prototype was delivered in September 2011. Currently it is in operational use by the ARC and the new features have been added upon request
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
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