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PKDD
2010
Springer
183views Data Mining» more  PKDD 2010»
15 years 14 days ago
Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space
Data stream classification poses many challenges, most of which are not addressed by the state-of-the-art. We present DXMiner, which addresses four major challenges to data stream ...
Mohammad M. Masud, Qing Chen, Jing Gao, Latifur Kh...
149
Voted
ICDM
2010
IEEE
199views Data Mining» more  ICDM 2010»
15 years 17 days ago
Addressing Concept-Evolution in Concept-Drifting Data Streams
Abstract--The problem of data stream classification is challenging because of many practical aspects associated with efficient processing and temporal behavior of the stream. Two s...
Mohammad M. Masud, Qing Chen, Latifur Khan, Charu ...
150
Voted
ICALP
2009
Springer
16 years 2 months ago
Annotations in Data Streams
The central goal of data stream algorithms is to process massive streams of data using sublinear storage space. Motivated by work in the database community on outsourcing database...
Amit Chakrabarti, Graham Cormode, Andrew McGregor
ISCI
2006
145views more  ISCI 2006»
15 years 2 months ago
Processing count queries over event streams at multiple time granularities
Management and analysis of streaming data has become crucial with its applications in web, sensor data, network traffic data, and stock market. Data streams consist of mostly nume...
Aykut Ünal, Yücel Saygin, Özgü...
128
Voted
VLDB
2004
ACM
104views Database» more  VLDB 2004»
15 years 8 months ago
Remembrance of Streams Past: Overload-Sensitive Management of Archived Streams
This paper studies Data Stream Management Systems that combine real-time data streams with historical data, and hence access incoming streams and archived data simultaneously. A s...
Sirish Chandrasekaran, Michael J. Franklin