Digital Commons Network^™

Practical Cataloging And Classification Training By Library And Information Science Users Education At Kwara State University Library, Nigeria, Abdrahman Atanda Moustapha, Odushina Babatunde Julius

Library Philosophy and Practice (e-journal)

Purpose

The study examined the cataloging and classification training of users in library and information science and their use of library catalogs at the Kwara State University Library, Nigeria. Training is a vital necessity for performing any professional responsibility. Therefore, the trainee's actions towards the training program cannot be affected.

Design/methodology/approach

The study adopted a descriptive research approach. It surveyed a sample of 250 university library users selected from a population of 515 through random sampling.

The findings

Library and Information Science users at Kwara State University Library, Nigeria, have a negative perception of the practical study of cataloging and …

Cataloguing And Classification In Library School In Nigeria: A Reviewer Perspective, Peter Olubunmi Olubiyo

Library Philosophy and Practice (e-journal)

Cataloguing and Classification is being taught both at the undergraduate and postgraduate (Master’s) level in the university system in Nigeria and other part of the world. The course is called Organisation of Knowledge in some library schools. It is a three-unit course at the undergraduate level. However, it is not being taken seriously by majority of the students because of the fact that they do not want to be become librarian later in the future or after graduation. This has always lead them to low grade in academic achievement or grade (score), failure in examination and poor job performances if …

Multi-Label Prediction For Political Text-As-Data, Aaron Erlich, Stefano G. Dantas, Benjamin E. Bagozzi, Daniel Berliner, Brian Palmer-Rubin

Political Science Faculty Research and Publications

Political scientists increasingly use supervised machine learning to code multiple relevant labels from a single set of texts. The current “best practice” of individually applying supervised machine learning to each label ignores information on inter-label association(s), and is likely to under-perform as a result. We introduce multi-label prediction as a solution to this problem. After reviewing the multi-label prediction framework, we apply it to code multiple features of (i) access to information requests made to the Mexican government and (ii) country-year human rights reports. We find that multi-label prediction outperforms standard supervised learning approaches, even in instances where the correlations …

Afnd: Arabic Fake News Dataset For The Detection And Classification Of Articles Credibility, Ashwaq Khalil, Moath Jarrah, Monther Aldwairi, Manar Jaradat

All Works

The news credibility detection task has started to gain more attention recently due to the rapid increase of news on different social media platforms. This article provides a large, labeled, and diverse Arabic Fake News Dataset (AFND) that is collected from public Arabic news websites. This dataset enables the research community to use supervised and unsupervised machine learning algorithms to classify the credibility of Arabic news articles. AFND consists of 606912 public news articles that were scraped from 134 public news websites of 19 different Arab countries over a 6-month period using Python scripts. The Arabic fact-check platform, Misbar, is …

Bias In The Stacks: Seeking Justice On The Shelves, Liz Kielley, Sarah Myers

Library Exhibits & Events

Words matter. To make materials findable, libraries have relied on subject headings and classification numbers to organize their resources. Have you ever wondered how these subjects or classification numbers were developed? Both the Dewey Decimal Classification and Library of Congress Classification were developed with a Western-centric, white, Christian, male perspective. How does the language we use in our subject headings reinforce marginalization? In what ways can libraries reconcile the inequalities found in these standardized policies to be inclusive of diverse and multicultural perspectives? What are Messiah’s Murray Library and other institutions doing to create balance?

Speakers:

• Elizabeth Kielley (Discovery and …

Justification Of Manual Classification Of Information Resource In Ict Age In Nigeria, Marcus Oladotun Aragabye

Library Philosophy and Practice (e-journal)

The purpose of this study is to emphasize the reasons why manual classification of information materials should not be abandoned in current ICT era, particularly in Nigeria. Libraries are no exception to ICT applications, and we can observe how they have already altered library services and activities. Also, Information Technology (IT) has made it presence in almost every sphere of human activity including the library practice but to have fully automated classification scheme is yet to be implemented. Library operation, such as cataloging, reference service, and the rest has a feel of this. For example, ICT has incorporated copy cataloguing …

Law Library Blog (October 2021): Legal Beagle's Blog Archive, Roger Williams University School Of Law

Law Library Newsletters/Blog

No abstract provided.

Classifying The Data: A Comparative Analysis Of Traditional Library Classification And Linked Data Classification Systems, Saima Hanif, Saima Hanif

Library Philosophy and Practice (e-journal)

Background. With the evolution of information technology, library classification schemes have transformed to effectively manage the information in electronic environment. The availability of library data on the web makes it challenging to devise a classification scheme that meet the need of Linked Data (LD) technologies. Objectives. This study aims to survey the library classification system along with automated classification system. It also highlights the links between the library classification systems and web of document classification system as a joint venture of LD.

Methods. For achieving the objectives of the study, available literature related to the traditional classification schemes, automated …

Per-Pixel Cloud Cover Classification Of Multispectral Landsat-8 Data, Salome E. Carrasco [*], Torrey J. Wagner, Brent T. Langhals

Faculty Publications

Random forest and neural network algorithms are applied to identify cloud cover using 10 of the wavelength bands available in Landsat 8 imagery. The methods classify each pixel into 4 different classes: clear, cloud shadow, light cloud, or cloud. The first method is based on a fully connected neural network with ten input neurons, two hidden layers of 8 and 10 neurons respectively, and a single-neuron output for each class. This type of model is considered with and without L2 regularization applied to the kernel weighting. The final model type is a random forest classifier created from an ensemble of …

A Bibliometric Analysis Of Plant Disease Classification With Artificial Intelligence Using Convolutional Neural Network, Sumit Kumar, Rutuja Rajendra Patil, Vasu Kumawat, Yashovardhan Rai, Navaneeth Krishnan, Shubham Kumar Singh

Library Philosophy and Practice (e-journal)

In 2021 and the modern future which everyone is going to be a part of, Artificial intelligence is going to be the biggest part of our livelihood. In the future there is going to be a huge expansion of population especially at the rate right now which we are moving but the biggest problem which everyone should be concerned about is the food supply as many of the nations would not be able to feed and make survive their population as even now, there is scarcity of it. Currently in the world the people revolving around the artificial intelligence are …

Identifying Subtypes Of Trichotillomania (Hair Pulling Disorder) And Excoriation (Skin Picking) Disorder Using Mixture Modeling In A Multicenter Sample, Jon E. Grant, Tara S. Peris, Emily J. Ricketts, Christine Lochner, Dan J. Stein, Jan Stochl, Samuel R. Chamberlain, Jeremiah M. Scharf, Darin D. Dougherty, Douglas W. Woods, John Piacentini, Nancy Keuthen

Psychology Faculty Research and Publications

Body-focused repetitive behavior disorders (BFRBs) include Trichotillomania (TTM; Hair pulling disorder) and Excoriation (Skin Picking) Disorder (SPD). These conditions are prevalent, highly heterogeneous, under-researched, and under-treated. In order for progress to be made in optimally classifying and treating these conditions, it is necessary to identify meaningful subtypes. 279 adults (100 with TTM, 81 with SPD, 40 with both TTM and SPD, and 58 controls) were recruited for an international, multi-center between-group comparison using mixture modeling, with stringent correction for multiple comparisons. The main outcome measure was to examine distinct subtypes (aka latent classes) across all study participants using item-level data …

Application Of The Cluster Classification Data Mining Method To Child Illiteracy In Indonesia, Muhammad Arifin, Gita Widi Bhawika, M.A. Muazar Habibi, Winci Firdaus, Danu Eko Agustinova, Robbi Rahim

Library Philosophy and Practice (e-journal)

The objective of this study is to cluster and classify data using a combination of the k-means and C4.5 methods. The process involves clustering and subsequent classification. The classification process uses k-folds = 10 and samples = stratified sampling. In this study, analphabets in Indonesia of a minimum age of 15 years (15+) were evaluated. The data are the percentage of analogs between 2017 and 2019. The dataset was obtained from https://www.bps.go.id and is accessible at https://osf.io/crwug. In this study, the Davies Bouldin index (DBI) was used to determine the number of clusters with an optimal DBI value of k …

Literature Schedule Practiced In Ddc 22nd And Cc 6th Revised Ed.: A Comparative Study, Binay Krishna Das Library Trainee

Library Philosophy and Practice (e-journal)

Classification in a library arranges the documents in classes based on mutual relationship between them and brings the like classes together and separates them from the unlike classes. It predominantly acts as the backbone of the library services provided in a library. In this study an attempt has been made to make an extensive study on how literature schedule is treated i.e. how class number building approach is carried out with the help of certain selected titles. An attempt has been made to delineate and outline how the literature schedule is practiced in different ways in both the classification scheme. …

A Bibliometric Analysis Of Plant Disease Classification With Artificial Intelligence Based On Scopus And Wos, Shivali Amit Wagle, Harikrishnan R

Library Philosophy and Practice (e-journal)

The maneuver of Artificial Intelligence (AI) techniques in the field of agriculture help in the classification of diseases. Early prediction of the disease benefits in taking relevant management steps. This is an important step towards controlling the disease growth that will yield good quality products to fulfill the global food demand. The main objective of this paper is to study the extent of research work done in this area of plant disease classification. The paper discusses the bibliometric analysis of plant disease classification with AI in Scopus and Web of Science core collection (WOS) database in analyzing the research by …

Improving Measurements Of Similarity Judgments With Machine-Learning Algorithms, Jeffrey R. Stevens, Alexis Polzkill Saltzman, Tanner Rasmussen, Leen-Kiat Soh

Jeffrey Stevens Publications

Intertemporal choices involve assessing options with different reward amounts available at different time delays. The similarity approach to intertemporal choice focuses on judging how similar amounts and delays are. Yet we do not fully understand the cognitive process of how these judgments are made. Here, we use machine-learning algorithms to predict similarity judgments to (1) investigate which algorithms best predict these judgments, (2) assess which predictors are most useful in predicting participants’ judgments, and (3) determine the minimum number of judgments required to accurately predict future judgments. We applied eight algorithms to similarity judgments for reward amount and time delay …

A Study On The Structuralism And Post Structuralism In Library And Information Science, Sukanya Mandal

Library Philosophy and Practice (e-journal)

The study is aimed that the investigating the implementation of the concept of structuralism, post-structuralism for giving a new dimension of Library & Information Science Education. The philosophical theory of post structuralism, post modernism and also structuralism given by Michel Foucault and Ferdinand de Saussure. It is relatively unknown to study the philosophical viewpoint in LIS. The principles and importance of post-structuralism and structuralism have a very important role in the field of the modern library, information study, information management and profession.

Cataloguing Education In The Midst Of The Coronavirus (Covid-19): The Authors Perspectives., Madireng Monyela

Library Philosophy and Practice (e-journal)

The nature of cataloguing modules requires face-to-face interactions between lecturers and students for the explanation of concepts and the practical use of manuals and standards applied. Due to Covid-19 outbreak that led to lockdown in many countries and consequently to closure of the face to face universities, teaching and learning should be altered to continue with the university mandate. This paper investigated Cataloguing Education (CE) and suggest relevant approaches of CE outside the traditional classroom context. This research employed the qualitative approach grounded on documents/textual content analysis of literature and the experiences attained by the author. Findings revealed that cataloguing …

A Review Paper: Analysis Of Weka Data Mining Techniques For Heart Disease Prediction System, Basma Jumaa Saleh, Ahmed Yousif Falih Saedi, Ali Talib Qasim Al-Aqbi, Lamees Abdalhasan Salman

Library Philosophy and Practice (e-journal)

Data mining is characterized as searching for useful information through very large data sets. Some of the key and most common techniques for data mining are association rules, classification, clustering, prediction, and sequential models. For a wide range of applications, data mining techniques are used. Data mining plays a significant role in disease detection in the health care industry. The patient should be needed to detect a number of tests for the disease. However, the number of tests should be reduced by using data mining techniques. In time and performance, this reduced test plays an important role. Heart disease is …

Unknown Latent Structure And Inefficiency In Panel Stochastic Frontier Models, Levent Kutlu, Kien C. Tran, Mike G. Tsionas

Economics and Finance Faculty Publications and Presentations

This paper extends the fixed effect panel stochastic frontier models to allow group heterogeneity in the slope coefficients. We propose the first-difference penalized maximum likelihood (FDPML) and control function penalized maximum likelihood (CFPML) methods for classification and estimation of latent group structures in the frontier as well as inefficiency. Monte Carlo simulations show that the proposed approach performs well in finite samples. An empirical application is presented to show the advantages of data-determined identification of the heterogeneous group structures in practice.

Impact Of Ict On Cataloguing & Classification Of Library Materials., Eniekebi Ejiroghene

Library Philosophy and Practice (e-journal)

The paper discusses the current trends in cataloging and classification of library materials in the information and communication technology era. There is outstanding evidence that ICT has improved cataloging activities, but has at the same time given rise to some issues of concern to the library, librarian, and the users. Such defined concerns include a threat to the cataloguer's role, competencies needed, facilities, training, software, etc. Suggestions given on how to derive maximum benefits include capacity building through self-development, curriculum review, constant power supply, and bibliographic instructions for regular users.

Classification And Its Purpose In Internet Age: Current Trends And Future Direction, Madaiah Krishnamurthy

Library Philosophy and Practice (e-journal)

A study of the knowledge-seeking behavior of users is essential for evolving suitable guidelines for knowledge organization and processing. The features of knowledge organization and its use in problem-solving and decision-making are explained. Classification plays an important role in knowledge organization. An understanding of mental models and mental maps helps in the information needs of users effectively. The schemes classification in knowledge processing is highlighted. The paper examines the scope of knowledge organization in modern technology and its application.

Linking, Mapping, Matching, And Change: Contemporary Use Of Ranganathan’S Three Planes Of Work In Classification Activity, Wan-Chen Lee

School of Information Studies Faculty Articles

Scholars have identified interoperability issues in mapping metadata in a linked data environment (Zeng 2019). This study builds on previous research and proposes a creative use of Ranganathan’s (1989) three planes of work in classification activity. By extending the application of the three planes of work to the linked data environment, we can use this conceptual model as an analytical tool to highlight particular mapping challenges. This paper uses three cases to show how discrepancies between the idea plane, verbal plane, and notational plane may cause mapping issues. Further, we can see that mapping issues are not limited to differences …

A Description Of A Humans Knowledge Using Artificial Intelligence, Dj Price

Mahurin Honors College Capstone Experience/Thesis Projects

There currently does not exist a way to easily view the relationships between a collection of written items (e.g. sports articles, diary entries, research papers). In recent years, novel machine learning methods have been developed which are very good at extracting semantic relationships from large numbers of documents. One of them is the (unsupervised) machine learning model Doc2Vec which constructs vectors for documents. The research project detailed in this paper uses this and other already existing algorithms to analyze the relationship between pieces of text. We set forth a broader ambition for this project before discussing the use and need …

Using Cost-Sensitive Learning And Feature Selection Algorithms To Improve The Performance Of Imbalanced Classification, Fang Feng, Kuan-Ching Li, Jun Shen, Qingguo Zhou, Xuhui Yang

Faculty of Engineering and Information Sciences - Papers: Part A

Imbalanced data problem is widely present in network intrusion detection, spam filtering, biomedical engineering, finance, science, being a challenge in many real-life data-intensive applications. Classifier bias occurs when traditional classification algorithms are used to deal with imbalanced data. As already known, the General Vector Machine (GVM) algorithm has good generalization ability, though it does not work well for the imbalanced classification. Additionally, the state-of-the-art Binary Ant Lion Optimizer (BALO) algorithm has high exploitability and fast convergence rate. Based on these facts, we have proposed in this paper a Cost-sensitive Feature selection General Vector Machine (CFGVM) algorithm based on GVM and …

Disaster Damage Categorization Applying Satellite Images And Machine Learning Algorithm, Farinaz Sabz Ali Pour, Adrian Gheorghe

Engineering Management & Systems Engineering Faculty Publications

Special information has a significant role in disaster management. Land cover mapping can detect short- and long-term changes and monitor the vulnerable habitats. It is an effective evaluation to be included in the disaster management system to protect the conservation areas. The critical visual and statistical information presented to the decision-makers can help in mitigation or adaption before crossing a threshold. This paper aims to contribute in the academic and the practice aspects by offering a potential solution to enhance the disaster data source effectiveness. The key research question that the authors try to answer in this paper is how …

An Analysis Of The Success Of Farmers Markets In Kentucky Using Logistic Regression And Support Vector Machines, Jeron Russell

Mahurin Honors College Capstone Experience/Thesis Projects

The purpose of this research is to look at the relationship that market-specific, economic, and demographic variables have with the success of farmers markets in Kentucky. It additionally seeks to build a tool for predicting farmers market success that could be used by policy makers to aid in decision-making processes concerning farmers markets. Logistic regression and Support Vector Machines (SVMs) are used on data acquired from the Kentucky Department of Agriculture and the American Community Survey in order to analyze the data in a traditional statistical approach as well as a machine learning approach. The results included an SVM model …

Virtual Wrap-Up Presentation: Digital Libraries, Intelligent Data Analytics, And Augmented Description, Elizabeth Lorang, Leen-Kiat Soh, Yi Liu, Chulwoo Pack

CSE Conference and Workshop Papers

Includes framing, overview, and discussion of the explorations pursued as part of the Digital Libraries, Intelligent Data Analytics, and Augmented Description demonstration project, pursued by members of the Aida digital libraries research team at the University of Nebraska-Lincoln through a research services contract with the Library of Congress. This presentation covered: Aida research team and background for the demonstration project; broad outlines of “Digital Libraries, Intelligent Data Analytics, and Augmented Description”; what changed for us as a research team over the collaboration and why; deliverables of our work; thoughts toward “What next”; and deep-dives into the explorations. The machine learning …

Revision Or Re-Vision: Exploring Approaches To The Differentiation Of Qualification Types In The Australian Qualifications Framework, Kate Perkins, Justin Brown, Paul R. Weldon, Louise Wignall

Transition and Post-School Education and Training

In March 2019, the Department of Education commissioned the Australian Council for Educational Research (ACER) to conduct a conceptual analysis of the most appropriate way to develop and present a taxonomy of learning outcomes within a qualifications framework; and a technical analysis and revision of the Knowledge, Skills and Application of Knowledge and Skills descriptors used in the Australian Qualifications Framework (AQF). Later this was extended to development of two alternative models that: (a) reflect the new conceptual base developed in Part I; (b) comprise a set of revised domain definitions (along with a new typology for each domain); and …

Regional Scale Dryland Vegetation Classification With An Integrated Lidar-Hyperspectral Approach, Hamid Dashti, Andrew Poley, Nancy Glenn, Nayani Ilangakoon, Lucas Spaete, Dar Roberts, Et. Al.

Michigan Tech Publications

The sparse canopy cover and large contribution of bright background soil, along with the heterogeneous vegetation types in close proximity, are common challenges for mapping dryland vegetation with remote sensing. Consequently, the results of a single classification algorithm or one type of sensor to characterize dryland vegetation typically show low accuracy and lack robustness. In our study, we improved classification accuracy in a semi-arid ecosystem based on the use of vegetation optical (hyperspectral) and structural (lidar) information combined with the environmental characteristics of the landscape. To accomplish this goal, we used both spectral angle mapper (SAM) and multiple endmember spectral …

Measuring The Value Of Professional Indexing, Philip Hider, Pru Mitchell, Robert Parkes

Information Management

This study provides both a quantitative estimate and qualitative analysis of the additional ‘retrieval power’ that professionally assigned subject indexing affords users of a typical database in the field of education. A full version of Informit’s A+ Education database and one stripped of its subject indexing were searched by four research assistants tasked with compiling exhaustive bibliographies on forty-eight topics. The searchers were then surveyed about their use of the two databases, while their bibliographies and search logs were also examined. A two-way ANOVA model was constructed to estimate the percentage of additional resources found by the searchers on the …