ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
There is an increasingly pressing need, by several applications in diverse domains, for developing techniques able to index and mine very large collections of time series. Examples...
ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
-- Temporal data are time-critical in that the snapshot at each timestamp must be made available to researchers in a timely fashion. However, due to the limited data, each snapshot...
ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
Dataset shift from the training data in a source domain to the data in a target domain poses a great challenge for many statistical learning methods. Most algorithms can be viewed ...
ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
Financial forecasting is the basis for budgeting activities and estimating future financing needs. Applying machine learning and data mining models to financial forecasting is both...
ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
Abstract--The Affinity Propagation (AP) clustering algorithm proposed by Frey and Dueck (2007) provides an understandable, nearly optimal summary of a data set. However, it suffers...
ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...