NDLI: Use of Hoeffding trees in concept based data stream mining

Content Provider	IEEE Xplore Digital Library
Author	Hoeglinger, S. Pears, R.
Copyright Year	2007
Description	Author affiliation: Sch. of Comput. & Math. Sci., Auckland Univ. of Technol., Auckland (Hoeglinger, S.; Pears, R.)
Abstract	Recent research in data mining has focussed on developing new algorithms for mining high-speed data streams. Most real-world data streams have in common that the underlying data generation mechanism changes over time, introducing so-called concept drift into the data. Many current algorithms incorporate a time-based window to be able to cope with drift in order to keep their model up-to-date with the data stream. A major problem with this approach is the potential loss of valuable information as data slides out of the time window. This is particularly a concern in those environments where patterns recur. In this paper, we present a concept-based window approach, which is integrated with a high-speed decision tree learner. Our approach uses the content of the data stream itself in order to decide which information is to be erased. Several methodologies, all based around minimising the overall information loss when pruning the decision tree, are discussed.
Starting Page	57
Ending Page	62
File Size	135481
Page Count	6
File Format	PDF
ISBN	9781424418992
DOI	10.1109/ICIAFS.2007.4544780
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-04
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	information gain Runtime environment Adaptive algorithm decsion trees hoeffding bound Credit cards Probability distribution Data mining Learning systems data stream mining Aging Decision trees Monitoring
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
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6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
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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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