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173
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DIS
2004
Springer
16 years 15 days ago
Mining Noisy Data Streams via a Discriminative Model
The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...
Fang Chu, Yizhou Wang, Carlo Zaniolo
PAKDD
2009
ACM
170views Data Mining» more  PAKDD 2009»
16 years 4 months ago
Discovering Periodic-Frequent Patterns in Transactional Databases.
Since mining frequent patterns from transactional databases involves an exponential mining space and generates a huge number of patterns, efficient discovery of user-interest-based...
Byeong-Soo Jeong, Chowdhury Farhan Ahmed, Syed Kha...
184
Voted
PKDD
2005
Springer
92views Data Mining» more  PKDD 2005»
16 years 18 days ago
Mining Model Trees from Spatial Data
Mining regression models from spatial data is a fundamental task in Spatial Data Mining. We propose a method, namely Mrs-SMOTI, that takes advantage from a tight-integration with s...
Donato Malerba, Michelangelo Ceci, Annalisa Appice
DGO
2007
192views Education» more  DGO 2007»
15 years 8 months ago
D-HOTM: distributed higher order text mining
We present D-HOTM, a framework for Distributed Higher Order Text Mining based on named entities extracted from textual data that are stored in distributed relational databases. Unl...
William M. Pottenger
206
Voted
ICTAI
2002
IEEE
16 years 1 days ago
A Tool for Extracting XML Association Rules
The recent success of XML as a standard to represent semi-structured data, and the increasing amount of available XML data, pose new challenges to the data mining community. In th...
Daniele Braga, Alessandro Campi, Stefano Ceri, Mik...