NDLI: Setting up and managing real-world data mining and optimization cases studies: Motivations and challenges

Content Provider	IEEE Xplore Digital Library
Author	Famili, A. Fazel
Copyright Year	2011
Description	Author affiliation: National Research Council, Institute of Information Technology, Canada (Famili, A. Fazel)
Abstract	The rapid evolution of tools and software systems to design experiments, automatically monitor, collect and warehouse large amounts of data, from applications such as life sciences and industrial processes has resulted in a new paradigm shift. This change of paradigm is so fast that some of the practices for optimization and management of these processes that were valid only 5–10 years ago may no longer be fully acceptable or sufficient for today's business optimization and management. This has a direct influence on the best practices for knowledge discovery and management of the discovered knowledge in real-world data mining applications. Establishing and managing a real-world data mining project in any domain, in particular in today's life science industry, is not a trivial task. A few approaches have been proposed in the literature. However, initiation and successful management of such efforts may depend on where a given case study fits in the overall classification of data mining approaches. Today's knowledge discovery from data can be classified in several ways: (i) data mining on engineered systems (e.g. complex equipment) or systems designed by nature (e.g. life sciences), (ii) explanatory or predictive data mining, (iii) data mining from static data (e.g. data warehouse) or dynamic data (e.g. data streams), (iv) user operated or automated data mining. There could still be other ways to classify data mining applications. This talk provides an overview of the above listed knowledge discovery applications. We provide examples where we demonstrate how small or large amounts of data, when understood from a real-world data mining point of view and the required data is properly integrated, can result in novel knowledge discovery case studies. We explain motivations and challenges of establishing real-world data mining case studies and also demonstrate how our case studies can lead to real world applications and even tools that could be deployed for better management of today's data rich environments.
Sponsorship	Univ. Kebangsaan Malaysia
File Size	91519
File Format	PDF
ISBN	9781612842110
ISSN	21556946
e-ISBN	9781612842127
DOI	10.1109/DMO.2011.5976495
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-28
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Synopsis

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

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