Sciweavers

1215 search results - page 178 / 243
» Numbers in Multi-relational Data Mining
Sort
View
ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
15 years 5 months ago
A Scalable Collaborative Filtering Framework Based on Co-Clustering
Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
Thomas George, Srujana Merugu
PAKDD
2005
ACM
124views Data Mining» more  PAKDD 2005»
15 years 5 months ago
Finding Sporadic Rules Using Apriori-Inverse
We define sporadic rules as those with low support but high confidence: for example, a rare association of two symptoms indicating a rare disease. To find such rules using the w...
Yun Sing Koh, Nathan Rountree
ICDM
2002
IEEE
105views Data Mining» more  ICDM 2002»
15 years 4 months ago
Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing
We empirically evaluate the performance of various reinforcement learning methods in applications to sequential targeted marketing. In particular, we propose and evaluate a progre...
Naoki Abe, Edwin P. D. Pednault, Haixun Wang, Bian...
KDD
1999
ACM
145views Data Mining» more  KDD 1999»
15 years 4 months ago
Discovery of Fraud Rules for Telecommunications - Challenges and Solutions
Many fraud analysis systemshave at their heart a rule-based enginefor generatingalertsaboutsuspiciousbehaviors.The rules in the systemareusually basedon expert knowledge. Automati...
Saharon Rosset, Uzi Murad, Einat Neumann, Yizhak I...
PAKDD
1999
ACM
129views Data Mining» more  PAKDD 1999»
15 years 4 months ago
Visually Aided Exploration of Interesting Association Rules
Association rules are a class of important regularities in databases. They are found to be very useful in practical applications. However, the number of association rules discovere...
Bing Liu, Wynne Hsu, Ke Wang, Shu Chen