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DAWAK
2007
Springer
15 years 7 months ago
OLAP Technology for Business Process Intelligence: Challenges and Solutions
The emerging area of business process intelligence aims at enhancing the analysis power of business process management systems by employing data warehousing and mining technologies...
Svetlana Mansmann, Thomas Neumuth, Marc H. Scholl
EUROCAST
2005
Springer
133views Hardware» more  EUROCAST 2005»
15 years 6 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 ...
KDD
2012
ACM
179views Data Mining» more  KDD 2012»
13 years 3 months ago
Web image prediction using multivariate point processes
In this paper, we investigate a problem of predicting what images are likely to appear on the Web at a future time point, given a query word and a database of historical image str...
Gunhee Kim, Fei-Fei Li, Eric P. Xing
PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
14 years 11 months ago
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Yuyang Wang, Roni Khardon, Pavlos Protopapas
AI
2003
Springer
15 years 6 months ago
Explanation-Oriented Association Mining Using a Combination of Unsupervised and Supervised Learning Algorithms
We propose a new framework of explanation-oriented data mining by adding an explanation construction and evaluation phase to the data mining process. While traditional approaches c...
Yiyu Yao, Yan Zhao, R. Brien Maguire