KDD
1998
ACM
14 years 25 days ago
1998
ACM
Huge masses of digital data about products, customers and competitors have become available for companies in the services sector. In order to exploit its inherent (and often hidde...
KDD
1998
ACM
14 years 25 days ago
1998
ACM
The value of extracting knowledge from semi-structured data is readily apparent with the explosion of the WWW and the advent of digital libraries. This paper proposes a versatile ...
KDD
1998
ACM
14 years 25 days ago
1998
ACM
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
KDD
1998
ACM
14 years 25 days ago
1998
ACM
We present the notion of Ranking for evaluation of two-class classifiers. Ranking is based on using the ordering information contained in the output of a scoring model, rather tha...
KDD
1998
ACM
14 years 25 days ago
1998
ACM
Manyreal-world KDDexpeditions involve investigation of relationships betweenvariables in different, heterogeneousdatabases. Wepresent a dynamic programmingtechnique for linking re...
KDD
1998
ACM
14 years 25 days ago
1998
ACM
Many data mining tasks (e.g., Association Rules, Sequential Patterns) use complex pointer-based data structures (e.g., hash trees) that typically suffer from sub-optimal data loca...
KDD
1998
ACM
14 years 25 days ago
1998
ACM
Several pattern discovery methods proposed in the data mining literature have the drawbacks that they discover too many obvious or irrelevant patterns and that they do not leverag...
KDD
1998
ACM
14 years 25 days ago
1998
ACM
In the near future NASAintends to explore various regions of our solar systemusing robotic devices such as rovers, spacecraft, airplanes, and/or balloons. Such platforms will carr...
KDD
1998
ACM
14 years 25 days ago
1998
ACM
This paper explores unexpected results that lie at the intersection of two common themes in the KDD community: large datasets and the goal of building compact models. Experiments ...
KDD
1998
ACM
14 years 25 days ago
1998
ACM
This paper develops the concept of usefulness in the context of supervised learning. We argue that usefulness can be used to improve the performance of classification rules (as me...