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» Evaluating algorithms that learn from data streams
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KDD
2009
ACM
190views Data Mining» more  KDD 2009»
16 years 7 months ago
Efficient influence maximization in social networks
Influence maximization is the problem of finding a small subset of nodes (seed nodes) in a social network that could maximize the spread of influence. In this paper, we study the ...
Wei Chen, Yajun Wang, Siyu Yang
WWW
2005
ACM
16 years 8 months ago
Browsing fatigue in handhelds: semantic bookmarking spells relief
Focused Web browsing activities such as periodically looking up headline news, weather reports, etc., which require only selective fragments of particular Web pages, can be made m...
Saikat Mukherjee, I. V. Ramakrishnan
CIVR
2007
Springer
231views Image Analysis» more  CIVR 2007»
16 years 1 months ago
Classification of video events using 4-dimensional time-compressed motion features
Among the various types of semantic concepts modeled, events pose the greatest challenge in terms of computational power needed to represent the event and accuracy that can be ach...
Alexander Haubold, Milind R. Naphade
AMR
2007
Springer
143views Multimedia» more  AMR 2007»
16 years 1 months ago
User Modelling for Interactive User-Adaptive Collection Structuring
Abstract. Automatic structuring is one means to ease access to document collections, be it for organization or for exploration. Of even greater help would be a presentation that ad...
Andreas Nürnberger, Sebastian Stober
SSDBM
2006
IEEE
121views Database» more  SSDBM 2006»
16 years 1 months ago
Time Series Analysis Using the Concept of Adaptable Threshold Similarity
The issue of data mining in time series databases is of utmost importance for many practical applications and has attracted a lot of research in the past years. In this paper, we ...
Johannes Aßfalg, Hans-Peter Kriegel, Peer Kr...