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» Mining the Temporal Dimension of the Information Propagation
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KDD
2008
ACM
186views Data Mining» more  KDD 2008»
14 years 5 months ago
Scalable and near real-time burst detection from eCommerce queries
In large scale online systems like Search, eCommerce, or social network applications, user queries represent an important dimension of activities that can be used to study the imp...
Nish Parikh, Neel Sundaresan
SDM
2007
SIAM
177views Data Mining» more  SDM 2007»
13 years 6 months ago
Bursty Feature Representation for Clustering Text Streams
Text representation plays a crucial role in classical text mining, where the primary focus was on static text. Nevertheless, well-studied static text representations including TFI...
Qi He, Kuiyu Chang, Ee-Peng Lim, Jun Zhang
PCI
2001
Springer
13 years 9 months ago
SEISMO-SURFER: A Prototype for Collecting, Querying, and Mining Seismic Data
Earthquake phenomena constitute a rich source of information over the years. Typically, the frequency of earthquakes worldwide is one every second. Collecting and querying seismic ...
Yannis Theodoridis
ECIR
2010
Springer
13 years 6 months ago
Mining Anchor Text Trends for Retrieval
Anchor text has been considered as a useful resource to complement the representation of target pages and is broadly used in web search. However, previous research only uses anchor...
Na Dai, Brian D. Davison
KDD
2012
ACM
229views Data Mining» more  KDD 2012»
11 years 7 months ago
Finding trendsetters in information networks
Influential people have an important role in the process of information diffusion. However, there are several ways to be influential, for example, to be the most popular or the...
Diego Sáez-Trumper, Giovanni Comarela, Virg...