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PAKDD
2009
ACM
103views Data Mining» more  PAKDD 2009»
15 years 11 months ago
Hot Item Detection in Uncertain Data
Abstract. An object o of a database D is called a hot item, if there is a sufficiently large population of other objects in D that are similar to o. In other words, hot items are ...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...
132
Voted
ADBIS
2006
Springer
166views Database» more  ADBIS 2006»
15 years 10 months ago
Clustering-Based Materialized View Selection in Data Warehouses
materialized view selection is a non-trivial task. Hence, its complexity must be reduced. A judicious choice of views must be costdriven and influenced by the workload experienced...
Kamel Aouiche, Pierre-Emmanuel Jouve, Jér&o...
ICDCS
2008
IEEE
15 years 10 months ago
On Security Vulnerabilities of Null Data Frames in IEEE 802.11 Based WLANs
Null data frames are a special but important type of frames in IEEE 802.11 based Wireless Local Area Networks (e.g., 802.11 WLANs). They are widely used for power management, chan...
Wenjun Gu, Zhimin Yang, Can Que, Dong Xuan, Weijia...
CIKM
2001
Springer
15 years 8 months ago
Merging Techniques for Performing Data Fusion on the Web
Data fusion on the Web refers to the merging, into a unified single list, of the ranked document lists, which are retrieved in response to a user query by more than one Web search...
Theodora Tsikrika, Mounia Lalmas
INCDM
2010
Springer
486views Data Mining» more  INCDM 2010»
15 years 6 months ago
Finding Temporal Patterns in Noisy Longitudinal Data: A Study in Diabetic Retinopathy
This paper describes an approach to temporal pattern mining using the concept of user de ned temporal prototypes to de ne the nature of the trends of interests. The temporal patt...
Vassiliki Somaraki, Deborah Broadbent, Frans Coene...