Result Analysis Suite: A Completely Automated Result Analysis Solution

• Autorzy: Sambya P. , Rustagi A. , Rani S. , Bhudhiraja Ch. , Sharma B.

Identyfikatory

DOI

10.15439/2017KM26

• Konferencja: International Conference on Information Technology and Knowledge Management (1 ; 22-23.12.2017 ; New Delhi, India)
• Języki publikacji: EN

Abstrakty

EN

"What gets measured, gets managed". The present paper intends to describe a one stop solution to analyze the student result data collected from the University Website automatically using the web automation technology, organize it into an efficient fashion and make it available for all stakeholders in a beautiful and intuitive way, therefore, reducing the manual task to a bare minimum. The whole system is divided into three phases - Data Collection, Re-Organization and Presentation. An automation system has been developed for raw result data collection, re-organization of the collected data and applying efficient analysis algorithms on the data locally, and in the last phase, presenting the result information to the user in an intuitive manner so as to make it easy and quick to understand and interact. Keeping the user in mind, the last phase is the most crucial one. A set of highly efficient open-source graph rendering libraries has been employed to generate interactive result infographics which are portable and can be exported for external use.

Słowa kluczowe

EN

automation; analysis; infographics

PL

automatyzacja; analiza; infografika

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2018
• Tom: Vol. 14
• Strony: 121--123
• Opis fizyczny: Bibliogr. 4 poz., tab., wykr., il.

Twórcy

autor

Sambya P.

• Department of Computer Science, Kalindi College, University of Delhi, India

autor

Rustagi A.

• Department of Computer Science, Kalindi College, University of Delhi, India

autor

Rani S.

• Department of Computer Science, Kalindi College, University of Delhi, India

autor

Bhudhiraja Ch.

• Department of Computer Science, Kalindi College, University of Delhi, India

autor

Sharma B.

• Department of Computer Science, Kalindi College, University of Delhi, India

Bibliografia

• 1. Lidia Ogiela, Chapter 3—Intelligent Computer Data Analysis Tech¬niques, Editor(s): Lidia Ogiela, In Intelligent Data-Centric Systems, In Cognitive Information Systems in Management Sciences, Academic Press, 2017, Pages 25-43, ISBN 9780128038031
• 2. Monitoring labor inputs: automated-data-collection model and enabling technologies Original Research Article Automation in Construction, Volume 12, Issue 2, March 2003, Pages 185-199 Ronie Navon, Eytan Goldschmidt
• 3. Leigh Metcalf, William Casey, Chapter 4 – Introduction to data analysis, Editor(s): Leigh Metcalf, William Casey, In Cybersecurity and Applied Mathematics, Syngress, 2016, Pages 43-65, ISBN 9780128044520
• 4. John Pirc, David DeSanto, Iain Davison, Will Gragido, 6—Data Visu¬ali¬zation, Editor(s): John Pirc, David DeSanto, Iain Davison, Will Gragido, In Threat Forecasting, Syngress, 2016, Pages 95-103, ISBN 9780128000069

Uwagi

1. Preface

2. Technical Session: First International Conference on Information Technology and Knowledge Management