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ICDE
2008
IEEE
192views Database» more  ICDE 2008»
16 years 5 months ago
Verifying and Mining Frequent Patterns from Large Windows over Data Streams
Mining frequent itemsets from data streams has proved to be very difficult because of computational complexity and the need for real-time response. In this paper, we introduce a no...
Barzan Mozafari, Hetal Thakkar, Carlo Zaniolo
226
Voted
ICDT
2009
ACM
148views Database» more  ICDT 2009»
16 years 4 months ago
Tight results for clustering and summarizing data streams
In this paper we investigate algorithms and lower bounds for summarization problems over a single pass data stream. In particular we focus on histogram construction and K-center c...
Sudipto Guha
SOFSEM
2010
Springer
16 years 22 days 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...
CIDM
2007
IEEE
15 years 10 months ago
A Prototype-driven Framework for Change Detection in Data Stream Classification
This paper presents a prototype-driven framework for classifying evolving data streams. Our framework uses cluster prototypes to summarize the data and to determine whether the cur...
Hamed Valizadegan, Pang-Ning Tan
AUSAI
2006
Springer
15 years 7 months ago
Voting Massive Collections of Bayesian Network Classifiers for Data Streams
Abstract. We present a new method for voting exponential (in the number of attributes) size sets of Bayesian classifiers in polynomial time with polynomial memory requirements. Tra...
Remco R. Bouckaert