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KDD
2012
ACM
221views Data Mining» more  KDD 2012»
11 years 10 months ago
Fast mining and forecasting of complex time-stamped events
Given huge collections of time-evolving events such as web-click logs, which consist of multiple attributes (e.g., URL, userID, timestamp), how do we find patterns and trends? Ho...
Yasuko Matsubara, Yasushi Sakurai, Christos Falout...
ADMA
2010
Springer
264views Data Mining» more  ADMA 2010»
13 years 5 months ago
Frequent Pattern Trend Analysis in Social Networks
Abstract. This paper describes an approach to identifying and comparing frequent pattern trends in social networks. A frequent pattern trend is defined as a sequence of time-stampe...
Puteri N. E. Nohuddin, Rob Christley, Frans Coenen...
KDD
2006
ACM
177views Data Mining» more  KDD 2006»
14 years 8 months ago
Topics over time: a non-Markov continuous-time model of topical trends
This paper presents an LDA-style topic model that captures not only the low-dimensional structure of data, but also how the structure changes over time. Unlike other recent work t...
Xuerui Wang, Andrew McCallum
SDM
2009
SIAM
205views Data Mining» more  SDM 2009»
14 years 4 months ago
Identifying Information-Rich Subspace Trends in High-Dimensional Data.
Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...
Chandan K. Reddy, Snehal Pokharkar
PKDD
2000
Springer
125views Data Mining» more  PKDD 2000»
13 years 11 months ago
Materialized Data Mining Views
Data mining is a useful decision support technique, which can be used to find trends and regularities in warehouses of corporate data. A serious problem of its practical applicatio...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...