Document clustering for knowledge synthesis and project portfolio funding decision in R&D organizations
Online Publishing @ NISCAIR
View Archive InfoField | Value | |
Authentication Code |
dc |
|
Title Statement |
Document clustering for knowledge synthesis and project portfolio funding decision in R&D organizations |
|
Added Entry - Uncontrolled Name |
Kumar, Abhishek ; Scientist, Research Project Planning and Business Development Directorate (RPPBDD), Council of Scientific and Industrial Organisation (CSIR) Kumar, Naresh ; Principal Scientist, CSIR-NISTADS Gupta, Richa ; Senior Software Engineer |
|
Uncontrolled Index Term |
Data Science and Analytics , Information Science, Management Science Decision Support System (DSS); Soft clustering; Information synthesis; Fuzzy clustering |
|
Summary, etc. |
<p>The paper discusses a method of using document clustering for information/knowledge synthesis and decision facilitation in R&D organisations. The emerging methodologies of machine learning, artificial intelligence and data science in conjunction with fuzzy mathematics can be optimally exploited to catalyse development of information bank for research organisations. This knowledge ecosystem can be utilized by the proposed mechanism to accelerate and reinforce interdisciplinary research for R&D organisations and empower them to make efficacious information-driven decisions related to project portfolio selection and proposal funding.</p> |
|
Publication, Distribution, Etc. |
Annals of Library and Information Studies (ALIS) 2019-11-23 10:38:41 |
|
Electronic Location and Access |
application/pdf http://op.niscair.res.in/index.php/ALIS/article/view/26314 |
|
Data Source Entry |
Annals of Library and Information Studies (ALIS); ##issue.vol## 66, ##issue.no## 3 (2019): Annals of Library and Information Studies |
|
Language Note |
en |
|
Terms Governing Use and Reproduction Note |
Except where otherwise noted, the Articles on this site are licensed under Creative Commons License: CC Attribution-Noncommercial-No Derivative Works 2.5 India © 2011. The Council of Scientific & Industrial Research, New Delhi. |
|