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IADIS
2008
13 years 9 months ago
Ontology In Association Rules Pre-Processing And Post-Processing
Data mining has emerged to address the problem of transforming data into useful knowledge. Although most data mining techniques, such as Association Rules, substantially reduce th...
Inhaúma Neves Ferraz, Ana Cristina Bicharra...
KDD
2000
ACM
101views Data Mining» more  KDD 2000»
13 years 11 months ago
Incremental quantile estimation for massive tracking
Data--call records, internet packet headers, or other transaction records--are coming down a pipe at a ferocious rate, and we need to monitor statistics of the data. There is no r...
Fei Chen, Diane Lambert, José C. Pinheiro
KDD
2004
ACM
209views Data Mining» more  KDD 2004»
14 years 8 months ago
Tracking dynamics of topic trends using a finite mixture model
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
Satoshi Morinaga, Kenji Yamanishi
ICWE
2009
Springer
13 years 5 months ago
Fine-Grained Analysis of Web Tasks through Data Visualization
Abstract. This paper presents an approach for monitoring several important aspects related to user behaviour during the execution of Web tasks1 . The approach includes the tracking...
Gennaro Costagliola, Vittorio Fuccella
PODS
2001
ACM
148views Database» more  PODS 2001»
14 years 7 months ago
On the Design and Quantification of Privacy Preserving Data Mining Algorithms
The increasing ability to track and collect large amounts of data with the use of current hardware technology has lead to an interest in the development of data mining algorithms ...
Dakshi Agrawal, Charu C. Aggarwal