NDLI: On dynamic data clustering and visualization using swarm intelligence

Content Provider	IEEE Xplore Digital Library
Author	Saka, E. Nasraoui, O.
Copyright Year	2010
Description	Author affiliation: Knowledge Discovery and Web Mining Lab, University of Louisville, KY, USA (Saka, E.; Nasraoui, O.)
Abstract	Clustering and visualizing high-dimensional sparse data simultaneously is a very attractive goal, yet it is also a challenging problem. Our previous studies using a special type of swarms, known as flocks of agents, provided some promising approaches to this challenging problem on several limited size UCI machine learning data sets and Web usage sessions (from web access logs) [1], [2]. However, dynamic domains, such as practically any data generated on the Web, may require frequent costly updates of the clusters (and the visualization), whenever new data records are added to the dataset. The new coming data may be due to new user activity on a website (clickstreams) or a search engine (queries), or new Web pages in the case of document clustering, etc. Additionally, data records may result in a change of clustering in time. Therefore, clusters may need to be updated, thus leading to the need to mine dynamic clusters. This paper summarizes our initial studies in designing a simultaneous clustering and visualization algorithm and proposes the Dynamic-FClust Algorithm, which is based on flocks of agents as a biological metaphor. This algorithm falls within the swarm-based clustering family, which is unique compared to other approaches, because its model is an ongoing swarm of agents that socially interact with each other, and is therefore inherently dynamic.
Starting Page	337
Ending Page	340
File Size	233739
Page Count	4
File Format	PDF
ISBN	9781424465224
e-ISBN	9781424465231
e-ISBN	9781424465217
DOI	10.1109/ICDEW.2010.5452721
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Image segmentation Data visualization Clustering algorithms Web pages Web mining Machine learning Search engines Iterative algorithms Particle swarm optimization
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in