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ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
14 years 2 months ago
Predicting Future Decision Trees from Evolving Data
Recognizing and analyzing change is an important human virtue because it enables us to anticipate future scenarios and thus allows us to act pro-actively. One approach to understa...
Mirko Böttcher, Martin Spott, Rudolf Kruse
ICDM
2008
IEEE
127views Data Mining» more  ICDM 2008»
14 years 2 months ago
The Impact of Structural Changes on Predictions of Diffusion in Networks
In a typical realistic scenario, there exist some past data about the structure of the network which are analyzed with respect to some possibly future spreading process, such as b...
Mayank Lahiri, Arun S. Maiya, Rajmonda Sulo, Habib...
ICDM
2010
IEEE
186views Data Mining» more  ICDM 2010»
13 years 5 months ago
MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model
Human emotion is one important underlying force affecting and affected by the dynamics of social networks. An interesting question is "can we predict a person's mood base...
Yuan Zhang, Jie Tang, Jimeng Sun, Yiran Chen, Jing...
IJBIDM
2010
111views more  IJBIDM 2010»
13 years 6 months ago
Context-aware taxi demand hotspots prediction
: In an urban area, the demand for taxis is not always matched up with the supply. This paper proposes mining historical data to predict demand distributions with respect to contex...
Han-Wen Chang, Yu-chin Tai, Jane Yung-jen Hsu
EUROCAST
2005
Springer
133views Hardware» more  EUROCAST 2005»
14 years 1 months ago
An Iterative Method for Mining Frequent Temporal Patterns
The incorporation of temporal semantic into the traditional data mining techniques has caused the creation of a new area called Temporal Data Mining. This incorporation is especial...
Francisco Guil, Antonio B. Bailón, Alfonso ...