Sciweavers

1577 search results - page 53 / 316
» Data Mining: Machine Learning, Statistics, and Databases
Sort
View
IJCAI
1989
15 years 2 months ago
An Empirical Comparison of Pattern Recognition, Neural Nets, and Machine Learning Classification Methods
Classification methods from statistical pattern recognition, neural nets, and machine learning were applied to four real-world data sets. Each of these data sets has been previous...
Sholom M. Weiss, Ioannis Kapouleas
KDD
2007
ACM
179views Data Mining» more  KDD 2007»
15 years 7 months ago
Mining statistically important equivalence classes and delta-discriminative emerging patterns
The support-confidence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that effectively simplifies the search lattice. This com...
Jinyan Li, Guimei Liu, Limsoon Wong
ALT
1998
Springer
15 years 5 months ago
PAC Learning from Positive Statistical Queries
Learning from positive examples occurs very frequently in natural learning. The PAC learning model of Valiant takes many features of natural learning into account, but in most case...
François Denis
KDD
2002
ACM
127views Data Mining» more  KDD 2002»
16 years 1 months ago
Mining knowledge-sharing sites for viral marketing
Viral marketing takes advantage of networks of influence among customers to inexpensively achieve large changes in behavior. Our research seeks to put it on a firmer footing by mi...
Matthew Richardson, Pedro Domingos
PAKDD
2009
ACM
96views Data Mining» more  PAKDD 2009»
15 years 8 months ago
Aggregated Subset Mining
The usual data mining setting uses the full amount of data to derive patterns for different purposes. Taking cues from machine learning techniques, we explore ways to divide the d...
Albrecht Zimmermann, Björn Bringmann