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» Phenomenal Data Mining: From Data to Phenomena
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SBP
2010
Springer
15 years 11 months ago
Social Network Data and Practices: The Case of Friendfeed
Due to their large worldwide adoption, Social Network Sites (SNSs) have been widely used in many global events as an important source to spread news and information. While the sear...
Fabio Celli, F. Marta L. Di Lascio, Matteo Magnani...
KDD
2009
ACM
193views Data Mining» more  KDD 2009»
16 years 7 months ago
Probabilistic frequent itemset mining in uncertain databases
Probabilistic frequent itemset mining in uncertain transaction databases semantically and computationally differs from traditional techniques applied to standard "certain&quo...
Andreas Züfle, Florian Verhein, Hans-Peter Kr...
DAWAK
1999
Springer
15 years 11 months ago
Mining Interval Time Series
Data mining can be used to extensively automate the data analysis process. Techniques for mining interval time series, however, have not been considered. Such time series are commo...
Roy Villafane, Kien A. Hua, Duc A. Tran, Basab Mau...
PAAMS
2010
Springer
15 years 4 months ago
An Automatic Programming ACO-Based Algorithm for Classification Rule Mining
In this paper we present a novel algorithm, named GBAP, that jointly uses automatic programming with ant colony optimization for mining classification rules. GBAP is based on a con...
Juan Luis Olmo, Jose María Luna, José...
KDD
2001
ACM
216views Data Mining» more  KDD 2001»
16 years 7 months ago
Real world performance of association rule algorithms
This study compares five well-known association rule algorithms using three real-world datasets and an artificial dataset. The experimental results confirm the performance improve...
Zijian Zheng, Ron Kohavi, Llew Mason