KDD
1999
ACM
14 years 4 months ago
1999
ACM
KDD
1999
ACM
14 years 4 months ago
1999
ACM
Efficiently answering decision support queries is an important problem. Most of the work in this direction has been in the context of the data cube. Queries are efficiently answer...
KDD
1999
ACM
14 years 4 months ago
1999
ACM
Many advanced safety and navigation applications in vehicles require accurate, detailed digital maps, but manual lane measurements are expensive and time-consuming, making automat...
KDD
1999
ACM
14 years 4 months ago
1999
ACM
Many fraud analysis systemshave at their heart a rule-based enginefor generatingalertsaboutsuspiciousbehaviors.The rules in the systemareusually basedon expert knowledge. Automati...
KDD
1999
ACM
14 years 4 months ago
1999
ACM
KDD
1999
ACM
14 years 4 months ago
1999
ACM
Most time series comparison algorithms attempt to discover what the members of a set of time series have in common. We investigate a di erent problem, determining what distinguish...
KDD
1999
ACM
14 years 4 months ago
1999
ACM
In this paper a concern about the accuracy (as a function of parallelism) of a certain class of distributed learning algorithms is raised, and one proposed improvement is illustrat...
KDD
1999
ACM
14 years 4 months ago
1999
ACM
KDD
1999
ACM
14 years 4 months ago
1999
ACM
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
KDD
1999
ACM
14 years 4 months ago
1999
ACM
Clustering is an important data mining problem. Most of the earlier work on clustering focussed on numeric attributes which have a natural ordering on their attribute values. Rece...