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TKDE
2008
139views more  TKDE 2008»
15 years 7 months ago
Mining Weighted Association Rules without Preassigned Weights
Association rule mining is a key issue in data mining. However, the classical models ignore the difference between the transactions, and the weighted association rule mining does n...
Ke Sun, Fengshan Bai
SAC
2009
ACM
16 years 1 months ago
Evaluating algorithms that learn from data streams
In the past years, the theory and practice of machine learning and data mining have been focused on static and finite data sets from where learning algorithms generate a static m...
João Gama, Pedro Pereira Rodrigues, Raquel ...
DAWAK
2005
Springer
16 years 19 days ago
A Tree Comparison Approach to Detect Changes in Data Warehouse Structures
Abstract. We present a technique for discovering and representing changes between versions of data warehouse structures. We select a tree comparison algorithm, adapt it for the par...
Johann Eder, Christian Koncilia, Karl Wiggisser
CIKM
2004
Springer
16 years 15 days ago
Framework and algorithms for trend analysis in massive temporal data sets
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
Sreenivas Gollapudi, D. Sivakumar
GFKL
2004
Springer
137views Data Mining» more  GFKL 2004»
16 years 14 days ago
Density Estimation and Visualization for Data Containing Clusters of Unknown Structure
Abstract. A method for measuring the density of data sets that contain an unknown number of clusters of unknown sizes is proposed. This method, called Pareto Density Estimation (PD...
Alfred Ultsch