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» Mining data streams: a review
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ICDM
2010
IEEE
164views Data Mining» more  ICDM 2010»
13 years 6 months ago
On Finding Similar Items in a Stream of Transactions
While there has been a lot of work on finding frequent itemsets in transaction data streams, none of these solve the problem of finding similar pairs according to standard similar...
Andrea Campagna, Rasmus Pagh
SIGMOD
2006
ACM
219views Database» more  SIGMOD 2006»
14 years 9 months ago
Modeling skew in data streams
Data stream applications have made use of statistical summaries to reason about the data using nonparametric tools such as histograms, heavy hitters, and join sizes. However, rela...
Flip Korn, S. Muthukrishnan, Yihua Wu
DASFAA
2007
IEEE
234views Database» more  DASFAA 2007»
14 years 3 months ago
Estimating Missing Data in Data Streams
Networks of thousands of sensors present a feasible and economic solution to some of our most challenging problems, such as real-time traffic modeling, military sensing and trackin...
Nan Jiang, Le Gruenwald
CIS
2004
Springer
14 years 2 months ago
Knowledge Maintenance on Data Streams with Concept Drifting
Concept drifting in data streams often occurs unpredictably at any time. Currently many classification mining algorithms deal with this problem by using an incremental learning ap...
Juggapong Natwichai, Xue Li
SOFSEM
2010
Springer
14 years 5 months ago
Continuous Processing of Preference Queries in Data Streams
Preference queries have received considerable attention in the recent past, due to their use in selecting the most preferred objects, especially when the selection criteria are con...
Maria Kontaki, Apostolos N. Papadopoulos, Yannis M...