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KDD
1997
ACM
109views Data Mining» more  KDD 1997»
15 years 10 months ago
Beyond Concise and Colorful: Learning Intelligible Rules
A variety of techniques from statistics, signal processing, pattern recognition, machine learning, and neural networks have been proposed to understand data by discovering useful ...
Michael J. Pazzani, Subramani Mani, William Rodman...
FQAS
2000
Springer
137views Database» more  FQAS 2000»
15 years 10 months ago
Towards the Tractable Discovery of Association Rules with Negations
Frequent association rules (e.g., AB C to say that when properties A and B are true in a record then, C tends to be also true) have become a popular way to summarize huge datasets...
Jean-François Boulicaut, Artur Bykowski, Ba...
ADMA
2005
Springer
117views Data Mining» more  ADMA 2005»
15 years 8 months ago
Context-Sensitive Regression Analysis for Distributed Data
A precondition of existing ensemble-based distributed data mining techniques is the assumption that contributing data are identically and independently distributed. However, this a...
Yan Xing, Michael G. Madden, Jim Duggan, Gerard Ly...
FIMI
2003
104views Data Mining» more  FIMI 2003»
15 years 8 months ago
AIM: Another Itemset Miner
We present a new algorithm for mining frequent itemsets. Past studies have proposed various algorithms and techniques for improving the efficiency of the mining task. We integrate...
Amos Fiat, Sagi Shporer
IADIS
2003
15 years 8 months ago
Capturing Best Practices in Web Development
This paper describes capturing design experiences by applying grounded theory to pattern mining. The presented approach aims at inducing expert development knowledge and its subse...
Tanya Linden, Jacob L. Cybulski