Open Access. Powered by Scholars. Published by Universities.®
Databases and Information Systems Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Data Science (4)
- Social and Behavioral Sciences (4)
- Library and Information Science (3)
- Education (2)
- Engineering (2)
-
- Theory and Algorithms (2)
- Artificial Intelligence and Robotics (1)
- Arts and Humanities (1)
- Computational Engineering (1)
- Computer Engineering (1)
- Criminology and Criminal Justice (1)
- Digital Communications and Networking (1)
- Digital Humanities (1)
- Engineering Education (1)
- Gifted Education (1)
- Higher Education (1)
- History (1)
- Legal Studies (1)
- Online and Distance Education (1)
- Other Education (1)
- Other Legal Studies (1)
- Science and Mathematics Education (1)
- United States History (1)
- Keyword
-
- Algorithms (1)
- COVID-19 pandemic (1)
- Computer Science (1)
- Convolutional Neural Network (1)
- Data Analysis (1)
-
- Data Mining (1)
- Database (1)
- Deep Learning (1)
- Digital Humanities (1)
- Emerging technologies (1)
- History (1)
- Indonesia (1)
- K-Medoids Method (1)
- LSTM (1)
- Library (1)
- Machine Learning (1)
- Mass Incarceration (1)
- Named Entity Recognition (1)
- Naïve Bayes (1)
- Random forest (1)
- Research libraries (1)
- School (1)
- Support vector machines (1)
- Table Analysis (1)
- Text Classification (1)
- Text classification (1)
- Text mining (1)
- Unsupervised Learning (1)
- Web Scraping (1)
- Xgboost (1)
Articles 1 - 5 of 5
Full-Text Articles in Databases and Information Systems
Information Extraction And Classification On Journal Papers, Lei Yu
Information Extraction And Classification On Journal Papers, Lei Yu
Department of Computer Science and Engineering: Dissertations, Theses, and Student Research
The importance of journals for diffusing the results of scientific research has increased considerably. In the digital era, Portable Document Format (PDF) became the established format of electronic journal articles. This structured form, combined with a regular and wide dissemination, spread scientific advancements easily and quickly. However, the rapidly increasing numbers of published scientific articles requires more time and effort on systematic literature reviews, searches and screens. The comprehension and extraction of useful information from the digital documents is also a challenging task, due to the complex structure of PDF.
To help a soil science team from the United States …
Crest Or Trough? How Research Libraries Used Emerging Technologies To Survive The Pandemic, So Far, Scout Calvert
Crest Or Trough? How Research Libraries Used Emerging Technologies To Survive The Pandemic, So Far, Scout Calvert
UNL Libraries: Faculty Publications
Introduction
In the first months of the COVID-19 pandemic, it was impossible to tell if we were at the crest of a wave of new transmissions, or a trough of a much larger wave, still yet to peak. As of this writing, as colleges and universities prepare for mostly in-person fall 2021 semesters, case counts in the United States are increasing again after a decline that coincided with easier access to the COVID vaccine. Plans for a return to campus made with confidence this spring may be in doubt, as we climb the curve of what is already the second …
Mass Incarceration In Nebraska: Data And Historical Analysis Of Inmates From 1980-2020, Anna Krause
Mass Incarceration In Nebraska: Data And Historical Analysis Of Inmates From 1980-2020, Anna Krause
Honors Theses
This study examines Nebraska Department of Corrections inmate data from 1980-2020, looking specifically at inmate demographics and offense trends. State-of-the-art data analysis is conducted to collect, modify, and visualize the data sources. Inmates are organized by each decade they were incarcerated within. The current active prison population is also examined in their own research group. The demographic and offense trends are compared with previous local and national research. Historical context is given for evolving trends in offenses. Solutions for Nebraska prison overcrowding are presented from various interest groups. This study aims to enlighten all interested Nebraskans on who inhabits their …
Unsupervised Data Mining Technique For Clustering Library In Indonesia, Robbi Rahim, Joseph Teguh Santoso, Sri Jumini, Gita Widi Bhawika, Daniel Susilo, Danny Wibowo
Unsupervised Data Mining Technique For Clustering Library In Indonesia, Robbi Rahim, Joseph Teguh Santoso, Sri Jumini, Gita Widi Bhawika, Daniel Susilo, Danny Wibowo
Library Philosophy and Practice (e-journal)
Organizing school libraries not only keeps library materials, but helps students and teachers in completing tasks in the teaching process so that national development goals are in order to improve community welfare by producing quality and competitive human resources. The purpose of this study is to analyze the Unsupervised Learning technique in conducting cluster mapping of the number of libraries at education levels in Indonesia. The data source was obtained from the Ministry of Education and Culture which was processed by the Central Statistics Agency (abbreviated as BPS) with url: bps.go.id/. The data consisted of 34 records where the attribute …
Delineating Knowledge Domains In Scientific Domains In Scientific Literature Using Machine Learning (Ml), Abhay Maurya, Smarajit Paul Choudhury Mr., Kshitij Jaiswal Mr.
Delineating Knowledge Domains In Scientific Domains In Scientific Literature Using Machine Learning (Ml), Abhay Maurya, Smarajit Paul Choudhury Mr., Kshitij Jaiswal Mr.
Library Philosophy and Practice (e-journal)
The recent years have witnessed an upsurge in the number of published documents. Organizations are showing an increased interest in text classification for effective use of the information. Manual procedures for text classification can be fruitful for a handful of documents, but the same lack in credibility when the number of documents increases besides being laborious and time-consuming. Text mining techniques facilitate assigning text strings to categories rendering the process of classification fast, accurate, and hence reliable. This paper classifies chemistry documents using machine learning and statistical methods. The procedure of text classification has been described in chronological order like …