NDLI: Versatile and Efficient Meta-Learning Architecture: Knowledge Representation and Management in Computational Intelligence

Content Provider	IEEE Xplore Digital Library
Author	Grabczewski, K. Jankowski, N.
Copyright Year	2007
Description	Author affiliation: Dept. of Informatics, Nicolaus Copernicus Univ., Toruri (Grabczewski, K.; Jankowski, N.)
Abstract	There are many data mining systems derived from machine learning, neural network, statistics and other fields. Most of them are dedicated to some particular algorithms or applications. Unfortunately, their architectures are still too naive to provide satisfactory background for advanced meta-learning problems. In order to efficiently perform sophisticated meta-level analysis, we need a very versatile, easily expandable system (in many independent aspects), which uniformly deals with different kinds of models and models with very complex structures of models (not only committees but also much more hierarchic models). Meta-level techniques must provide mechanisms facilitating optimization of computation time and memory consumption. This article presents requirements and their motivations for an advanced data mining system, efficient not only in model construction for given data, but also in meta-learning. Some particular solutions to significant problems are presented. The newly proposed advanced meta-learning architecture has been implemented in our new data analysis system.
Starting Page	51
Ending Page	58
File Size	199229
Page Count	8
File Format	PDF
ISBN	1424407052
DOI	10.1109/CIDM.2007.368852
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-03-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Machine learning algorithms Neural networks Computer architecture Knowledge representation Machine learning Knowledge management Performance analysis Data mining Statistics Computational intelligence
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