Foundations of adaptive data stream mining for mobile and embedded applications

2008 Cairo International Biomedical Engineering Conference, CIBEC 2008

Volumn , Issue , 2008, Pages

  Gaber, Mohamed Medhat ^a  

^a MONASH UNIVERSITY   (Australia)

Author keywords

Algorithm Output Granularity; Data stream mining

Indexed keywords

ALGORITHMS; APPLICATIONS; BIOMEDICAL ENGINEERING; INFORMATION MANAGEMENT; LEARNING SYSTEMS; MINING;

COMPUTATIONAL RESOURCES; DATA MINING ALGORITHMS; DATA STREAM MINING; DATA STREAMS; EMBEDDED APPLICATIONS; HIGH RATES; POTENTIAL APPLICATIONS; PROBABLY APPROXIMATELY CORRECT LEARNING MODELS; THEORETICAL FRAMEWORKS;

DATA MINING;

EID: 63649088643     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIBEC.2008.4786099     Document Type: Conference Paper

References (14)

1. Gaber, M, M., Krishnaswamy, S., and Zaslavsky, A., On-board Mining of Data Streams in Sensor Networks, a book chapter in Advanced Methods of Knowledge Discovery from Complex Data, (Eds.) Sanghamitra Badhyopadhyay, Ujjwal Maulik, Lawrence Holder and Diane Cook, Springer Verlag, 2005, pp. 307-336.
2. Gaber M. M., Yu P. S., A Holistic Approach for Resource-aware Adaptive Data Stream Mining, in Journal of New Generation Computing 25(1), pp, Special Issue on Knowledge Discovery from Data Streams, 2006.
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